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1. ReconNext: A Encoder-Decoder Skip Cross Attention Based Approach to Reconstruct Cardiac MRI

Author

Li, Ruiyi, Zheng, Hanyuan, Sun, Weiya, Ge, Rongjun, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Tao, Qian, editor, Wang, Chengyan, editor, and Young, Alistair, editor

Published
2024
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2. DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models

Author

Xiang, Tianqi, Yue, Wenjun, Lin, Yiqun, Yang, Jiewen, Wang, Zhenkun, Li, Xiaomeng, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Tao, Qian, editor, Wang, Chengyan, editor, and Young, Alistair, editor

Published
2024
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3. Multi-scale Inter-frame Information Fusion Based Network for Cardiac MRI Reconstruction

Author

Ding, Wenzhe, Liu, Xiaohan, Sun, Yong, Liu, Yiming, Pang, Yanwei, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Tao, Qian, editor, Wang, Chengyan, editor, and Young, Alistair, editor

Published
2024
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4. Sparse Annotation Strategies for Segmentation of Short Axis Cardiac MRI

Author

Stein, Josh, Di Folco, Maxime, Schnabel, Julia A., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Tao, Qian, editor, Wang, Chengyan, editor, and Young, Alistair, editor

Published
2024
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5. CineJENSE: Simultaneous Cine MRI Image Reconstruction and Sensitivity Map Estimation Using Neural Representations

Author

Al-Haj Hemidi, Ziad, Vogt, Nora, Quillien, Lucile, Weihsbach, Christian, Heinrich, Mattias P., Oster, Julien, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Tao, Qian, editor, Wang, Chengyan, editor, and Young, Alistair, editor

Published
2024
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6. Space-Time Deformable Attention Parallel Imaging Reconstruction for Highly Accelerated Cardiac MRI

Author

Mei, Lifeng, Yang, Kexin, Li, Yi, Huang, Shoujin, Liu, Yilong, Lyu, Mengye, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Tao, Qian, editor, Wang, Chengyan, editor, and Young, Alistair, editor

Published
2024
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7. C3-Net: Complex-Valued Cascading Cross-Domain Convolutional Neural Network for Reconstructing Undersampled CMR Images

Author

Dou, Quan, Yan, Kang, Chen, Sheng, Wang, Zhixing, Feng, Xue, Meyer, Craig H., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Tao, Qian, editor, Wang, Chengyan, editor, and Young, Alistair, editor

Published
2024
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8. Cardiac MRI Reconstruction from Undersampled K-Space Using Double-Stream IFFT and a Denoising GNA-UNET Pipeline

Author

Dietlmeier, Julia, Garcia-Cabrera, Carles, Hashmi, Anam, Curran, Kathleen M., O’Connor, Noel E., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Tao, Qian, editor, Wang, Chengyan, editor, and Young, Alistair, editor

Published
2024
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9. Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net

Author

Peng, Jiachuan, Beetz, Marcel, Banerjee, Abhirup, Chen, Min, Grau, Vicente, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Tao, Qian, editor, Wang, Chengyan, editor, and Young, Alistair, editor

Published
2024
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10. Combination Special Data Augmentation and Sampling Inspection Network for Cardiac Magnetic Resonance Imaging Quality Classification

Author

Sun, Xiaowu, Cheng, Li-Hsin, van der Geest, Rob J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Qin, Chen, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Wang, Shuo, editor, and Young, Alistair, editor

Published
2022
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11. Automatic Quality Assessment of Cardiac MR Images with Motion Artefacts Using Multi-task Learning and K-Space Motion Artefact Augmentation

Author

Arega, Tewodros Weldebirhan, Bricq, Stéphanie, Meriaudeau, Fabrice, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Qin, Chen, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Wang, Shuo, editor, and Young, Alistair, editor

Published
2022
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12. Efficient MRI Reconstruction with Reinforcement Learning for Automatic Acquisition Stopping

Author

Xu, Ruru, Oksuz, Ilkay, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Qin, Chen, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Wang, Shuo, editor, and Young, Alistair, editor

Published
2022
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13. Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries

Author

Iyer, Krithika, Morris, Alan, Zenger, Brian, Karanth, Karthik, Orkild, Benjamin A., Korshak, Oleksandre, Elhabian, Shireen, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Qin, Chen, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Wang, Shuo, editor, and Young, Alistair, editor

Published
2022
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14. Motion-Related Artefact Classification Using Patch-Based Ensemble and Transfer Learning in Cardiac MRI

Author

Li, Ruizhe, Chen, Xin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Qin, Chen, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Wang, Shuo, editor, and Young, Alistair, editor

Published
2022
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15. PAT-CNN: Automatic Segmentation and Quantification of Pericardial Adipose Tissue from T2-Weighted Cardiac Magnetic Resonance Images

Author

Li, Zhuoyu, Petri, Camille, Howard, James, Cole, Graham, Varela, Marta, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Qin, Chen, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Wang, Shuo, editor, and Young, Alistair, editor

Published
2022
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16. Mesh U-Nets for 3D Cardiac Deformation Modeling

Author

Beetz, Marcel, Acero, Jorge Corral, Banerjee, Abhirup, Eitel, Ingo, Zacur, Ernesto, Lange, Torben, Stiermaier, Thomas, Evertz, Ruben, Backhaus, Sören J., Thiele, Holger, Bueno-Orovio, Alfonso, Lamata, Pablo, Schuster, Andreas, Grau, Vicente, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Qin, Chen, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Wang, Shuo, editor, and Young, Alistair, editor

Published
2022
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17. Post-Infarction Risk Prediction with Mesh Classification Networks

Author

Beetz, Marcel, Acero, Jorge Corral, Banerjee, Abhirup, Eitel, Ingo, Zacur, Ernesto, Lange, Torben, Stiermaier, Thomas, Evertz, Ruben, Backhaus, Sören J., Thiele, Holger, Bueno-Orovio, Alfonso, Lamata, Pablo, Schuster, Andreas, Grau, Vicente, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Qin, Chen, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Wang, Shuo, editor, and Young, Alistair, editor

Published
2022
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18. A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation

Author

Lee, Tiarna, Puyol-Antón, Esther, Ruijsink, Bram, Shi, Miaojing, King, Andrew P., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Qin, Chen, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Wang, Shuo, editor, and Young, Alistair, editor

Published
2022
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19. Review of Data Types and Model Dimensionality for Cardiac DTI SMS-Related Artefact Removal

Author

Tänzer, Michael, Yook, Sea Hee, Ferreira, Pedro, Yang, Guang, Rueckert, Daniel, Nielles-Vallespin, Sonia, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Qin, Chen, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Wang, Shuo, editor, and Young, Alistair, editor

Published
2022
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20. Refined Deep Layer Aggregation for Multi-Disease, Multi-View & Multi-Center Cardiac MR Segmentation

Author

Liu, Di, Yan, Zhennan, Chang, Qi, Axel, Leon, Metaxas, Dimitris N., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Puyol Antón, Esther, editor, Pop, Mihaela, editor, Martín-Isla, Carlos, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Camara, Oscar, editor, Lekadir, Karim, editor, and Young, Alistair, editor

Published
2022
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21. Tempera: Spatial Transformer Feature Pyramid Network for Cardiac MRI Segmentation

Author

Galazis, Christoforos, Wu, Huiyi, Li, Zhuoyu, Petri, Camille, Bharath, Anil A., Varela, Marta, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Puyol Antón, Esther, editor, Pop, Mihaela, editor, Martín-Isla, Carlos, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Camara, Oscar, editor, Lekadir, Karim, editor, and Young, Alistair, editor

Published
2022
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22. Right Ventricle Segmentation via Registration and Multi-input Modalities in Cardiac Magnetic Resonance Imaging from Multi-disease, Multi-view and Multi-center

Author

Sun, Xiaowu, Cheng, Li-Hsin, van der Geest, Rob J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Puyol Antón, Esther, editor, Pop, Mihaela, editor, Martín-Isla, Carlos, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Camara, Oscar, editor, Lekadir, Karim, editor, and Young, Alistair, editor

Published
2022
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23. Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data

Author

Machado, Inês, Puyol-Antón, Esther, Hammernik, Kerstin, Cruz, Gastão, Ugurlu, Devran, Ruijsink, Bram, Castelo-Branco, Miguel, Young, Alistair, Prieto, Claudia, Schnabel, Julia A., King, Andrew P., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Puyol Antón, Esther, editor, Pop, Mihaela, editor, Martín-Isla, Carlos, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Camara, Oscar, editor, Lekadir, Karim, editor, and Young, Alistair, editor

Published
2022
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24. A Multi-view Crossover Attention U-Net Cascade with Fourier Domain Adaptation for Multi-domain Cardiac MRI Segmentation

Author

Beetz, Marcel, Corral Acero, Jorge, Grau, Vicente, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Puyol Antón, Esther, editor, Pop, Mihaela, editor, Martín-Isla, Carlos, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Camara, Oscar, editor, Lekadir, Karim, editor, and Young, Alistair, editor

Published
2022
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25. Using MRI-specific Data Augmentation to Enhance the Segmentation of Right Ventricle in Multi-disease, Multi-center and Multi-view Cardiac MRI

Author

Arega, Tewodros Weldebirhan, Legrand, François, Bricq, Stéphanie, Meriaudeau, Fabrice, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Puyol Antón, Esther, editor, Pop, Mihaela, editor, Martín-Isla, Carlos, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Camara, Oscar, editor, Lekadir, Karim, editor, and Young, Alistair, editor

Published
2022
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26. Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders

Author

Beetz, Marcel, Banerjee, Abhirup, Grau, Vicente, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Puyol Antón, Esther, editor, Pop, Mihaela, editor, Martín-Isla, Carlos, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Camara, Oscar, editor, Lekadir, Karim, editor, and Young, Alistair, editor

Published
2022
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27. Predicting 3D Cardiac Deformations with Point Cloud Autoencoders

Author

Beetz, Marcel, Ossenberg-Engels, Julius, Banerjee, Abhirup, Grau, Vicente, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Puyol Antón, Esther, editor, Pop, Mihaela, editor, Martín-Isla, Carlos, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Camara, Oscar, editor, Lekadir, Karim, editor, and Young, Alistair, editor

Published
2022
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28. Cross-domain Artefact Correction of Cardiac MRI

Author

Özer, Caner, Öksüz, İlkay, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Puyol Antón, Esther, editor, Pop, Mihaela, editor, Martín-Isla, Carlos, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Camara, Oscar, editor, Lekadir, Karim, editor, and Young, Alistair, editor

Published
2022
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29. Adaptive Preprocessing for Generalization in Cardiac MR Image Segmentation

Author

Khader, Firas, Schock, Justus, Truhn, Daniel, Morsbach, Fabian, Haarburger, Christoph, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Puyol Anton, Esther, editor, Pop, Mihaela, editor, Sermesant, Maxime, editor, Campello, Victor, editor, Lalande, Alain, editor, Lekadir, Karim, editor, Suinesiaputra, Avan, editor, Camara, Oscar, editor, and Young, Alistair, editor

Published
2021
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30. Anatomy Prior Based U-net for Pathology Segmentation with Attention

Author

Zhou, Yuncheng, Zhang, Ke, Luo, Xinzhe, Wang, Sihan, Zhuang, Xiahai, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Puyol Anton, Esther, editor, Pop, Mihaela, editor, Sermesant, Maxime, editor, Campello, Victor, editor, Lalande, Alain, editor, Lekadir, Karim, editor, Suinesiaputra, Avan, editor, Camara, Oscar, editor, and Young, Alistair, editor

Published
2021
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31. Automatic Myocardial Disease Prediction from Delayed-Enhancement Cardiac MRI and Clinical Information

Author

Lourenço, Ana, Kerfoot, Eric, Grigorescu, Irina, Scannell, Cian M., Varela, Marta, Correia, Teresa M., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Puyol Anton, Esther, editor, Pop, Mihaela, editor, Sermesant, Maxime, editor, Campello, Victor, editor, Lalande, Alain, editor, Lekadir, Karim, editor, Suinesiaputra, Avan, editor, Camara, Oscar, editor, and Young, Alistair, editor

Published
2021
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32. Left Ventricular Parameter Regression from Deep Feature Maps of a Jointly Trained Segmentation CNN

Author

Tilborghs, Sofie, Maes, Frederik, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Pop, Mihaela, editor, Sermesant, Maxime, editor, Camara, Oscar, editor, Zhuang, Xiahai, editor, Li, Shuo, editor, Young, Alistair, editor, Mansi, Tommaso, editor, and Suinesiaputra, Avan, editor

Published
2020
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33. Comparison of 2D Echocardiography and Cardiac Cine MRI in the Assessment of Regional Left Ventricular Wall Thickness

Author

van Hal, Vera H. J., Zhao, Debbie, Gilbert, Kathleen, Gamage, Thiranja P. Babarenda, Mauger, Charlene, Doughty, Robert N., Legget, Malcolm E., Zhao, Jichao, Nalar, Aaqel, Camara, Oscar, Young, Alistair A., Wang, Vicky Y., Nash, Martyn P., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Pop, Mihaela, editor, Sermesant, Maxime, editor, Camara, Oscar, editor, Zhuang, Xiahai, editor, Li, Shuo, editor, Young, Alistair, editor, Mansi, Tommaso, editor, and Suinesiaputra, Avan, editor

Published
2020
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34. Full Quantification of Left Ventricle Using Deep Multitask Network with Combination of 2D and 3D Convolution on 2D + t Cine MRI

Author

Jang, Yeonggul, Kim, Sekeun, Shim, Hackjoon, Chang, Hyuk-Jae, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Pop, Mihaela, editor, Sermesant, Maxime, editor, Zhao, Jichao, editor, Li, Shuo, editor, McLeod, Kristin, editor, Young, Alistair, editor, Rhode, Kawal, editor, and Mansi, Tommaso, editor

Published
2019
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35. Automatic Left Ventricle Quantification in Cardiac MRI via Hierarchical Refinement of High-Level Features by a Salient Perceptual Grouping Model

Author

Atehortúa, Angélica, Garreau, Mireille, Romo-Bucheli, David, Romero, Eduardo, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Pop, Mihaela, editor, Sermesant, Maxime, editor, Zhao, Jichao, editor, Li, Shuo, editor, McLeod, Kristin, editor, Young, Alistair, editor, Rhode, Kawal, editor, and Mansi, Tommaso, editor

Published
2019
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36. Convexity and Connectivity Principles Applied for Left Ventricle Segmentation and Quantification

Author

Grinias, Elias, Tziritas, Georgios, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Pop, Mihaela, editor, Sermesant, Maxime, editor, Zhao, Jichao, editor, Li, Shuo, editor, McLeod, Kristin, editor, Young, Alistair, editor, Rhode, Kawal, editor, and Mansi, Tommaso, editor

Published
2019
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37. A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI

Author

Cetin, Irem, Sanroma, Gerard, Petersen, Steffen E., Napel, Sandy, Camara, Oscar, Ballester, Miguel-Angel Gonzalez, Lekadir, Karim, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Pop, Mihaela, editor, Sermesant, Maxime, editor, Jodoin, Pierre-Marc, editor, Lalande, Alain, editor, Zhuang, Xiahai, editor, Yang, Guang, editor, Young, Alistair, editor, and Bernard, Olivier, editor

Published
2018
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38. Densely Connected Fully Convolutional Network for Short-Axis Cardiac Cine MR Image Segmentation and Heart Diagnosis Using Random Forest

Author

Khened, Mahendra, Alex, Varghese, Krishnamurthi, Ganapathy, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Pop, Mihaela, editor, Sermesant, Maxime, editor, Jodoin, Pierre-Marc, editor, Lalande, Alain, editor, Zhuang, Xiahai, editor, Yang, Guang, editor, Young, Alistair, editor, and Bernard, Olivier, editor

Published
2018
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39. Multilevel Non-parametric Groupwise Registration in Cardiac MRI: Application to Explanted Porcine Hearts

Author

Mojica, Mia, Pop, Mihaela, Sermesant, Maxime, Ebrahimi, Mehran, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Pop, Mihaela, editor, Sermesant, Maxime, editor, Jodoin, Pierre-Marc, editor, Lalande, Alain, editor, Zhuang, Xiahai, editor, Yang, Guang, editor, Young, Alistair, editor, and Bernard, Olivier, editor

Published
2018
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40. Automatic Segmentation of LV and RV in Cardiac MRI

Author

Jang, Yeonggul, Hong, Yoonmi, Ha, Seongmin, Kim, Sekeun, Chang, Hyuk-Jae, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Pop, Mihaela, editor, Sermesant, Maxime, editor, Jodoin, Pierre-Marc, editor, Lalande, Alain, editor, Zhuang, Xiahai, editor, Yang, Guang, editor, Young, Alistair, editor, and Bernard, Olivier, editor

Published
2018
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41. Novel Framework to Integrate Real-Time MR-Guided EP Data with T1 Mapping-Based Computational Heart Models

Author

Ferguson, Sebastian, Sermesant, Maxime, Oduneye, Samuel, Giffard-Roisin, Sophie, Truong, Michael, Biswas, Labonny, Ayache, Nicholas, Wright, Graham, Pop, Mihaela, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Mansi, Tommaso, editor, McLeod, Kristin, editor, Pop, Mihaela, editor, Rhode, Kawal, editor, Sermesant, Maxime, editor, and Young, Alistair, editor

Published
2017
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42. Position paper on stress cardiac MRI in chronic coronary syndrome: Endorsed by the Société Française de Radiologie (SFR) the Société Française d’Imagerie CardioVasculaire (SFICV) and the Société Française de Cardiologie (SFC)

Author

Florent Le Ven, Luc Christiaens, Alexis Jacquier, Martine Gilard, Jérôme Garot, Olivier Genée, François Pontana, Louis Boyer, Alain Furber, Laurent Macron, Damien Mandry, Jean-Nicolas Dacher, Gilles Barone-Rochette, Groupe d'Etude de la Thrombose de Bretagne Occidentale (GETBO), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO)-Université de Brest (UBO), Récepteurs Nucléaires, Maladies Métaboliques et Cardiovasculaires - U1011 (RNMCD), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Radiopharmaceutiques biocliniques (LRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), Centre cardiologique du Nord (CCN), Hôpital Privé Jacques Cartier [Massy], Pôle santé Oréliance, Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Département de Radiologie adultes [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Université de Lorraine (UL), Service de cardiologie [CHU de Poitiers], Centre hospitalier universitaire de Poitiers (CHU Poitiers), MitoVasc - Physiopathologie Cardiovasculaire et Mitochondriale (MITOVASC), Université d'Angers (UA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Endothélium, valvulopathies et insuffisance cardiaque (EnVI), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Hôpital de la Cavale Blanche - CHRU Brest (CHU - BREST ), Institut Pascal (IP), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne), Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA), Université de Brest (UBO)-Institut Brestois Santé Agro Matière (IBSAM), Récepteurs Nucléaires, Maladies Métaboliques et Cardiovasculaires (RNMCD - U1011), Physiopathologie Cardiovasculaire et Mitochondriale (MITOVASC), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), and DACHER, Jean Nicolas

Subjects
medicine.medical_specialty, Myocardial ischemia, Angina pectoris, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Internal medicine, Stress (linguistics), medicine, Radiology, Nuclear Medicine and imaging, Stable coronary artery disease, Cardiac MRI, Stress Cardiac Magnetic Resonance Imaging, Radiological and Ultrasound Technology, business.industry, General Medicine, 3. Good health, Acquisition Protocol, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, 030220 oncology & carcinogenesis, Risk stratification, Cardiology, Position paper, business
Abstract

International audience; This position paper was intended to update the former consensus between the French Societies of Radiology and Cardiology about the use of stress cardiac magnetic resonance imaging (MRI) in chronic coronary syndrome published in 2009. The Delphi method was used to build the present consensus. This expert panel consensus includes recommendations for indications, procedure with patient preparation, stress inducing drugs, acquisition protocol, interpretation and risk stratification by stress MRI.

Published
2021

43. Registration of Real-Time and Prior Imaging Data with Applications to MR Guided Cardiac Interventions

Author

Xu, Robert, Wright, Graham A., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Camara, Oscar, editor, Mansi, Tommaso, editor, Pop, Mihaela, editor, Rhode, Kawal, editor, Sermesant, Maxime, editor, and Young, Alistair, editor

Published
2015
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44. Future Horizons: The Potential Role of Artificial Intelligence in Cardiology.

Author

Patrascanu, Octavian Stefan, Tutunaru, Dana, Musat, Carmina Liana, Dragostin, Oana Maria, Fulga, Ana, Nechita, Luiza, Ciubara, Alexandru Bogdan, Piraianu, Alin Ionut, Stamate, Elena, Poalelungi, Diana Gina, Dragostin, Ionut, Iancu, Doriana Cristea-Ene, Ciubara, Anamaria, and Fulga, Iuliu

Subjects
ARTIFICIAL intelligence, MACHINE learning, CARDIAC magnetic resonance imaging, ARRHYTHMIA, CARDIOVASCULAR diseases, CORONARY angiography, LITERATURE reviews
Abstract

Cardiovascular diseases (CVDs) are the leading cause of premature death and disability globally, leading to significant increases in healthcare costs and economic strains. Artificial intelligence (AI) is emerging as a crucial technology in this context, promising to have a significant impact on the management of CVDs. A wide range of methods can be used to develop effective models for medical applications, encompassing everything from predicting and diagnosing diseases to determining the most suitable treatment for individual patients. This literature review synthesizes findings from multiple studies that apply AI technologies such as machine learning algorithms and neural networks to electrocardiograms, echocardiography, coronary angiography, computed tomography, and cardiac magnetic resonance imaging. A narrative review of 127 articles identified 31 papers that were directly relevant to the research, encompassing a broad spectrum of AI applications in cardiology. These applications included AI models for ECG, echocardiography, coronary angiography, computed tomography, and cardiac MRI aimed at diagnosing various cardiovascular diseases such as coronary artery disease, hypertrophic cardiomyopathy, arrhythmias, pulmonary embolism, and valvulopathies. The papers also explored new methods for cardiovascular risk assessment, automated measurements, and optimizing treatment strategies, demonstrating the benefits of AI technologies in cardiology. In conclusion, the integration of artificial intelligence (AI) in cardiology promises substantial advancements in diagnosing and treating cardiovascular diseases. [ABSTRACT FROM AUTHOR]

Published
2024
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45. Improved compressed sensing and super‐resolution of cardiac diffusion MRI with structure‐guided total variation

Author

Andrew D. McCulloch, Darryl McClymont, Irvin Teh, Jürgen E. Schneider, Eric D. Carruth, and Jeffrey H. Omens

Subjects
diffusion kurtosis, Full Papers—Imaging Methodology, Context (language use), 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, super‐resolution, Fractional anisotropy, Image Processing, Computer-Assisted, cardiac MRI, Animals, Radiology, Nuclear Medicine and imaging, Computer vision, Root-mean-square deviation, Retrospective Studies, compressed sensing, Mathematics, Ground truth, Full Paper, Orientation (computer vision), business.industry, diffusion tensor imaging, Magnetic Resonance Imaging, Rats, Diffusion Magnetic Resonance Imaging, Compressed sensing, directional total variation, Undersampling, Artificial intelligence, business, Algorithms, 030217 neurology & neurosurgery, Diffusion MRI
Abstract

Purpose Structure-guided total variation is a recently introduced prior that allows reconstruction of images using knowledge of the location and orientation of edges in a reference image. In this work, we demonstrate the advantages of a variant of structure-guided total variation known as directional total variation (DTV), over traditional total variation (TV), in the context of compressed-sensing reconstruction and super-resolution. Methods We compared TV and DTV in retrospectively undersampled ex vivo diffusion tensor imaging and diffusion spectrum imaging data from healthy, sham, and hypertrophic rat hearts. Results In compressed sensing at an undersampling factor of 8, the RMS error of mean diffusivity and fractional anisotropy relative to the fully sampled ground truth were 44% and 20% lower in DTV compared with TV. In super-resolution, these values were 29% and 14%, respectively. Similarly, we observed improvements in helix angle, transverse angle, sheetlet elevation, and sheetlet azimuth. The RMS error of the diffusion kurtosis in the undersampled data relative to the ground truth was uniformly lower (22% on average) with DTV compared to TV. Conclusion Acquiring one fully sampled non-diffusion-weighted image and 10 diffusion-weighted images at 8× undersampling would result in an 80% net reduction in data needed. We demonstrate efficacy of the DTV algorithm over TV in reducing data sampling requirements, which can be translated into higher apparent resolution and potentially shorter scan times. This method would be equally applicable in diffusion MRI applications outside the heart.

Published
2020

46. Water–fat Dixon cardiac magnetic resonance fingerprinting

Author

Daniel Rueckert, Begoña Lavin, Torben Schneider, Peter Koken, René M. Botnar, Olivier Jaubert, Gastao Cruz, Reza Hajhosseiny, Aurelien Bustin, Mariya Doneva, and Claudia Prieto

Subjects
Magnetic Resonance Spectroscopy, Full Papers—Imaging Methodology, T2 mapping, water–fat DIXON, Partial volume, Imaging phantom, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Nuclear magnetic resonance, cardiac MRI, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, Proton density, Fat fraction, Physics, MR fingerprinting, Full Paper, Phantoms, Imaging, Healthy subjects, Reproducibility of Results, Water, Heart, T1 mapping, Magnetic Resonance Imaging, fat fraction, Golden angle, Cardiac magnetic resonance, 030217 neurology & neurosurgery
Abstract

PURPOSE Cardiac magnetic resonance fingerprinting (cMRF) has been recently introduced to simultaneously provide T1 , T2 , and M0 maps. Here, we develop a 3-point Dixon-cMRF approach to enable simultaneous water specific T1 , T2 , and M0 mapping of the heart and fat fraction (FF) estimation in a single breath-hold scan. METHODS Dixon-cMRF is achieved by combining cMRF with several innovations that were previously introduced for other applications, including a 3-echo GRE acquisition with golden angle radial readout and a high-dimensional low-rank tensor constrained reconstruction to recover the highly undersampled time series images for each echo. Water-fat separation of the Dixon-cMRF time series is performed to allow for water- and fat-specific T1 , T2 , and M0 estimation, whereas FF estimation is extracted from the M0 maps. Dixon-cMRF was evaluated in a standardized T1 -T2 phantom, in a water-fat phantom, and in healthy subjects in comparison to current clinical standards: MOLLI, SASHA, T2 -GRASE, and 6-point Dixon proton density FF (PDFF) mapping. RESULTS Dixon-cMRF water T1 and T2 maps showed good agreement with reference T1 and T2 mapping techniques (R2 > 0.99 and maximum normalized RMSE ~5%) in a standardized phantom. Good agreement was also observed between Dixon-cMRF FF and reference PDFF (R2 > 0.99) and between Dixon-cMRF water T1 and T2 and water selective T1 and T2 maps (R2 > 0.99) in a water-fat phantom. In vivo Dixon-cMRF water T1 values were in good agreement with MOLLI and water T2 values were slightly underestimated when compared to T2 -GRASE. Average myocardium septal T1 values were 1129 ± 38 ms, 1026 ± 28 ms, and 1045 ± 32 ms for SASHA, MOLLI, and the proposed water Dixon-cMRF. Average T2 values were 51.7 ± 2.2 ms and 42.8 ± 2.6 ms for T2 -GRASE and water Dixon-cMRF, respectively. Dixon-cMRF FF maps showed good agreement with in vivo PDFF measurements (R2 > 0.98) and average FF in the septum was measured at 1.3%. CONCLUSION The proposed Dixon-cMRF allows to simultaneously quantify myocardial water T1 , water T2 , and FF in a single breath-hold scan, enabling multi-parametric T1 , T2 , and fat characterization. Moreover, reduced T1 and T2 quantification bias caused by water-fat partial volume was demonstrated in phantom experiments.

Published
2019

47. Cardiac MRI findings to differentiate athlete's heart from hypertrophic (HCM), arrhythmogenic right ventricular (ARVC) and dilated (DCM) cardiomyopathy

Author

Sebastian Gassenmaier, K. Blume, J Brendel, S.-C. Olthof, B. Wolfarth, J Kübler, Patrick Krumm, Simon Greulich, Christof Burgstahler, Florian Hagen, Karin Klingel, and Karin Mueller

Subjects
medicine.medical_specialty, Athlete's heart, Cardiomyopathy, Contrast Media, Gadolinium, 030204 cardiovascular system & hematology, Athlete’s heart, 030218 nuclear medicine & medical imaging, Muscle hypertrophy, Both ventricles, 03 medical and health sciences, 0302 clinical medicine, Predictive Value of Tests, Internal medicine, ARVC, Medicine, Humans, Radiology, Nuclear Medicine and imaging, cardiovascular diseases, Cardiomegaly, Exercise-Induced, Cardiac MRI, Cardiac imaging, Retrospective Studies, Original Paper, DCM, Ejection fraction, biology, business.industry, Athletes, Heart, Cardiomyopathy, Hypertrophic, medicine.disease, biology.organism_classification, HCM, Magnetic Resonance Imaging, ddc, Cardiology, cardiovascular system, Hypertrophy, Left Ventricular, Cardiology and Cardiovascular Medicine, business, Cardiomyopathies, Mri findings
Abstract

To provide clinically relevant criteria for differentiation between the athlete’s heart and similar appearing hypertrophic (HCM), dilated (DCM), and arrhythmogenic right-ventricular cardiomyopathy (ARVC) in MRI. 40 top-level athletes were prospectively examined with cardiac MR (CMR) in two university centres and compared to retrospectively recruited patients diagnosed with HCM (n = 14), ARVC (n = 18), and DCM (n = 48). Analysed MR imaging parameters in the whole study cohort included morphology, functional parameters and late gadolinium enhancement (LGE). Mean left-ventricular enddiastolic volume index (LVEDVI) was high in athletes (105 ml/m2) but significantly lower compared to DCM (132 ml/m2; p = 0.001). Mean LV ejection fraction (EF) was 61% in athletes, below normal in 7 (18%) athletes vs. EF 29% in DCM, below normal in 46 (96%) patients (p

Published
2021

48. Indexed left ventricular mass to QRS voltage ratio is associated with heart failure hospitalizations in patients with cardiac amyloidosis

Author

Alexander L. Wallner, Matthew S. Tong, Karolina M. Zareba, Ajay Vallakati, Vien T. Truong, Subha V. Raman, Wojciech Mazur, Mohamed B. Elamin, and Jeremy Slivnick

Subjects
Male, medicine.medical_specialty, Time Factors, Cardiomyopathy, Heart Ventricles, Action Potentials, Magnetic Resonance Imaging, Cine, Heart failure, Cardiac amyloidosis, Risk Assessment, Ventricular Function, Left, Electrocardiography, QRS complex, Heart Conduction System, Heart Rate, Predictive Value of Tests, Risk Factors, Internal medicine, medicine, Humans, Radiology, Nuclear Medicine and imaging, Cardiac MRI, Aged, Retrospective Studies, Aged, 80 and over, Body surface area, Original Paper, Ejection fraction, Ventricular Remodeling, medicine.diagnostic_test, Proportional hazards model, business.industry, Amyloidosis, Middle Aged, Prognosis, medicine.disease, Hospitalization, Cardiology, Female, Cardiomyopathies, Cardiology and Cardiovascular Medicine, business
Abstract

In cardiac amyloidosis (CA), amyloid infiltration results in increased left ventricular (LV) mass disproportionate to electrocardiographic (EKG) voltage. We assessed the relationship between LV mass–voltage ratio with subsequent heart failure hospitalization (HHF) and mortality in CA. Patients with confirmed CA and comprehensive cardiovascular magnetic resonance (CMR) and EKG exams were included. CMR-derived LV mass was indexed to body surface area. EKG voltage was assessed using Sokolow, Cornell, and Limb–voltage criteria. The optimal LV mass–voltage ratio for predicting outcomes was determined using receiver operating characteristic curve analysis. The relationship between LV mass–voltage ratio and HHF was assessed using Cox proportional hazards analysis adjusting for significant covariates. A total of 85 patients (mean 69 ± 11 years, 22% female) were included, 42 with transthyretin and 43 with light chain CA. At a median of 3.4-year follow-up, 49% of patients experienced HHF and 60% had died. In unadjusted analysis, Cornell LV mass–voltage ratio was significantly associated with HHF (HR, 1.05; 95% CI 1.02–1.09, p = 0.001) and mortality (HR, 1.05; 95% CI 1.02–1.07, p = 0.001). Using ROC curve analysis, the optimal cutoff value for Cornell LV mass–voltage ratio to predict HHF was 6.7 gm/m2/mV. After adjusting for age, NYHA class, BNP, ECV, and LVEF, a Cornell LV mass–voltage ratio > 6.7 gm/m2/mV was significantly associated with HHF (HR 2.25, 95% CI 1.09–4.61; p = 0.03) but not mortality. Indexed LV mass–voltage ratio is associated with subsequent HHF and may be a useful prognostic marker in cardiac amyloidosis.

Published
2020

49. A joint procedural position statement on imaging in cardiac sarcoidosis

Author

Slart, R. H. J. A., Glaudemans, A. W. J. M., Lancellotti, P., Hyafil, F., Blankstein, R., Schwartz, R. G., Jaber, W. A., Russell, R., Gimelli, A., Rouzet, F., Hacker, M., Gheysens, O., Plein, S., Miller, E. J., Dorbala, S., Donal, E., Sciagra, R., Bucerius, J., Verberne, H. J., Lindner, O., Ubleis, C., Agostini, D., Signore, A., Edvardsen, T., Neglia, D., Beanlands, R. S., Di Carli, M., Chareonthaitawee, P., Dilsizian, V., Soman, P., Habib, G., Delgado, V., Cardim, N., Cosyns, B., Flachskampf, F., Gerber, B., Haugaa, K., Lombardi, M., Masci, P. G., Nuclear Medicine, ACS - Amsterdam Cardiovascular Sciences, Radiology and Nuclear Medicine, Unité de Recherche sur les Maladies Infectieuses Tropicales Emergentes (URMITE), Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes (URMITE), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR48, Institut des sciences biologiques (INSB-CNRS)-Institut des sciences biologiques (INSB-CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR48, Institut des sciences biologiques (INSB-CNRS)-Institut des sciences biologiques (INSB-CNRS)-Centre National de la Recherche Scientifique (CNRS), Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA-Research), Université de Liège, Laboratoire de Recherche Vasculaire Translationnelle (LVTS (UMR_S_1148 / U1148)), Université Paris 13 (UP13)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de cardiologie et maladies vasculaires [Rennes] = Cardiac, Thoracic, and Vascular Surgery [Rennes], CHU Pontchaillou [Rennes], CIC-IT Rennes, Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Jonchère, Laurent, INSB-INSB-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR48, INSB-INSB-Centre National de la Recherche Scientifique (CNRS), RS: CARIM - R3.11 - Imaging, MUMC+: DA BV Medisch Specialisten Nucleaire Geneesk (9), Beeldvorming, Biomedical Photonic Imaging, Clinical sciences, Cardio-vascular diseases, Cardiology, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Vascular Ageing Programme (VAP), Translational Immunology Groningen (TRIGR), Cardiovascular Centre (CVC), and ​Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE)

Subjects
Male, positron emission tomography, diagnosis, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Biopsy, diagnostic, Speckle tracking echocardiography, 030204 cardiovascular system & hematology, Myocardial Perfusion Imaging/standards, medical, Multimodal Imaging, cardiac sarcoidosis, 030218 nuclear medicine & medical imaging, 0302 clinical medicine, X ray computed, cardiac imaging techniques, cardiology, cardiomyopathies, europe, female, humans, magnetic resonance imaging, male, multimodal imaging, myocardial perfusion imaging, nuclear medicine, positron emission tomography computed tomography, radionuclide imaging, sarcoidosis, societies, medical, united states, practice guidelines as topic, Positron Emission Tomography Computed Tomography, MAGNETIC-RESONANCE, Image Processing, Computer-Assisted, Medicine, echocardiography, F-18-FDG PET, Positron Emission Tomography Computed Tomography/standards, ComputingMilieux_MISCELLANEOUS, Societies, Medical, medicine.diagnostic_test, HYPERTROPHIC CARDIOMYOPATHY, LATE GADOLINIUM ENHANCEMENT, Hypertrophic cardiomyopathy, Myocardial Perfusion Imaging, CORTICOSTEROID-THERAPY, imaging, Sarcoidosis/diagnostic imaging, General Medicine, F 18 fdg pet, Prognosis, Magnetic Resonance Imaging, 3. Good health, Europe, Positron emission tomography, Practice Guidelines as Topic, Cardiology, Nuclear Medicine/standards, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Female, Radiology, Sarcoidosis, STRAIN ECHOCARDIOGRAPHY, Cardiology and Cardiovascular Medicine, Cardiomyopathies, Cardiology/standards, Position statement, Diagnostic Imaging, medicine.medical_specialty, SPECKLE-TRACKING ECHOCARDIOGRAPHY, Systemic sarcoidosis, SYSTEMIC SARCOIDOSIS, Cardiac sarcoidosis, fluorodeoxyglucose, Imaging Sarcoidosis Myocardium, Myocardial perfusion imaging, 03 medical and health sciences, Cardiomyopathies/diagnostic imaging, Radionuclide Imaging/standards, societies, POSITRON-EMISSION-TOMOGRAPHY, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Fluorodeoxyglucose F18, Internal medicine, Medical imaging, cardiac MRI, Late gadolinium enhancement, Humans, Radiology, Nuclear Medicine and imaging, Radionuclide Imaging, [SDV.IB] Life Sciences [q-bio]/Bioengineering, Multimodal Imaging/standards, business.industry, Magnetic Resonance Imaging/standards, Reproducibility of Results, LOW-CARBOHYDRATE-DIET, Magnetic resonance imaging, medicine.disease, n/a OA procedure, United States, Cardiac Imaging Techniques/standards, Cardiac Imaging Techniques, MYOCARDIAL FDG UPTAKE, inflammation, Positron-Emission Tomography, Position paper, Nuclear Medicine, business, Nuclear medicine, Tomography, X-Ray Computed
Abstract

International audience; This joint position paper illustrates the role and the correct use of echocardiography, radionuclide imaging with 18F-fluorodeoxyglucose positron emission tomography, radionuclide myocardial perfusion imaging and cardiovascular magnetic resonance imaging for the evaluation and management of patients with known or suspected cardiac sarcoidosis. This position paper will aid in standardizing imaging for cardiac sarcoidosis and may facilitate clinical trials and pooling of multi-centre data on cardiac sarcoidosis. Proposed flow charts for the work up and management of cardiac sarcoidosis are included.

Published
2017

50. The value of magnetic resonance imaging in evaluation of myocardial and liver iron overload in a thalassaemia endemic population: a report from Northeastern Thailand

Author

Pattarapong Makarawate and Narumol Chaosuwannakit

Subjects
medicine.medical_specialty, Liver Iron Concentration, thalassemia, Thalassemia, Population, T2, 050801 communication & media studies, Patient response, Gastroenterology, 0508 media and communications, Internal medicine, medicine, cardiac MRI, Liver iron, liver iron concentration, Chelation therapy, iron overload, education, education.field_of_study, Original Paper, medicine.diagnostic_test, business.industry, 05 social sciences, Magnetic resonance imaging, medicine.disease, Liver biopsy, business, MRI
Abstract

Purpose: Patients with chronic haemolytic anaemia, such as in thalassaemia, require repeated blood transfusions, which leads to iron overload and cellular damage, especially in the heart and liver. Classically, serum ferritin and liver biopsy have been used to monitor patient response to chelation therapy. Magnetic resonance imaging (MRI) has proven to be effective in detecting and quantifying iron in the heart and liver. The aim of the paper is to evaluate the accuracy of the MRI T2* procedure in the assessment of liver iron concentration and myocardial iron overload. Material and methods: In 210 cases of monthly transfused patients, hepatic and myocardial iron overload was measured by multi-breath-hold MRI T2* and compared to serum ferritin (a traditional marker of iron overload). Results: No significant correlation was observed between serum ferritin level and cardiac T2* MRI (p = 0.68, r = 0.06). However, a significant correlation was observed between serum ferritin and liver iron concentration evaluated by MRI (p = 0.04, r = 0.68). Conclusion: Routine evaluation of liver and heart iron content using MRI T2* is suggested to better evaluate the haemosiderosis status in thalassaemic patients.

Published
2019