Search

Your search keyword '"Velthuis, Birgitta K."' showing total 1,161 results
Start Over Author "Velthuis, Birgitta K."
1,161 results on '"Velthuis, Birgitta K."'

1. Free-Running Time-Resolved First-Pass Myocardial Perfusion Using a Multi-Scale Dynamics Decomposition: CMR-MOTUS

Author

Olausson, Thomas E., Terpstra, Maarten L., Huttinga, Niek R. F., Beijst, Casper, Blanken, Niels, Correia, Teresa, Suchá, Dominika, Velthuis, Birgitta K., Berg, Cornelis A. T. van den, and Sbrizzi, Alessandro

Subjects
Physics - Medical Physics
Abstract

We present a novel approach for the reconstruction of time-resolved free-running first-pass myocardial perfusion MRI, named CMR-MOTUS. This method builds upon the MR-MOTUS framework and addresses the challenges of a contrast varying reference image. By integrating a low-rank plus sparse (L+S) decomposition, CMR-MOTUS efficiently captures both motion fields and contrast variations. This innovative technique eliminates the need for acquiring a motion-static reference image prior to the examination, thereby reducing examination time and complexity for cardiac MRI examinations. Our results demonstrate that CMR-MOTUS can successfully disentangle different dynamic components, offering high-quality motion fields and motion correct a myocardial first-pass perfusion image series.

Published
2024

4. Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy

Author

Alvarez-Florez, Laura, Sander, Jörg, Bourfiss, Mimount, Tjong, Fleur V. Y., Velthuis, Birgitta K., and Išgum, Ivana

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence
Abstract

Quantification of cardiac motion with cine Cardiac Magnetic Resonance Imaging (CMRI) is an integral part of arrhythmogenic right ventricular cardiomyopathy (ARVC) diagnosis. Yet, the expert evaluation of motion abnormalities with CMRI is a challenging task. To automatically assess cardiac motion, we register CMRIs from different time points of the cardiac cycle using Implicit Neural Representations (INRs) and perform a biomechanically informed regularization inspired by the myocardial incompressibility assumption. To enhance the registration performance, our method first rectifies the inter-slice misalignment inherent to CMRI by performing a rigid registration guided by the long-axis views, and then increases the through-plane resolution using an unsupervised deep learning super-resolution approach. Finally, we propose to synergically combine information from short-axis and 4-chamber long-axis views, along with an initialization to incorporate information from multiple cardiac time points. Thereafter, to quantify cardiac motion, we calculate global and segmental strain over a cardiac cycle and compute the peak strain. The evaluation of the method is performed on a dataset of cine CMRI scans from 47 ARVC patients and 67 controls. Our results show that inter-slice alignment and generation of super-resolved volumes combined with joint analysis of the two cardiac views, notably improves registration performance. Furthermore, the proposed initialization yields more physiologically plausible registrations. The significant differences in the peak strain, discerned between the ARVC patients and healthy controls suggest that automated motion quantification methods may assist in diagnosis and provide further understanding of disease-specific alterations of cardiac motion., Comment: Statistical Atlases and Computational Modeling of the Heart (STACOM) workshop accepted paper

Published
2023

5. Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy

Author

Alvarez-Florez, Laura, Sander, Jörg, Bourfiss, Mimount, Tjong, Fleur V. Y., Velthuis, Birgitta K., Išgum, Ivana, 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
Full Text
View/download PDF

7. Future Unruptured Intracranial Aneurysm Growth Prediction using Mesh Convolutional Neural Networks

Author

Timmins, Kimberley M., Kamphuis, Maarten J., Vos, Iris N., Velthuis, Birgitta K., van der Schaaf, Irene C., and Kuijf, Hugo J.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract

The growth of unruptured intracranial aneurysms (UIAs) is a predictor of rupture. Therefore, for further imaging surveillance and treatment planning, it is important to be able to predict if an UIA is likely to grow based on an initial baseline Time-of-Flight MRA (TOF-MRA). It is known that the size and shape of UIAs are predictors of aneurysm growth and/or rupture. We perform a feasibility study of using a mesh convolutional neural network for future UIA growth prediction from baseline TOF-MRAs. We include 151 TOF-MRAs, with 169 UIAs where 49 UIAs were classified as growing and 120 as stable, based on the clinical definition of growth (>1 mm increase in size in follow-up scan). UIAs were segmented from TOF-MRAs and meshes were automatically generated. We investigate the input of both UIA mesh only and region-of-interest (ROI) meshes including UIA and surrounding parent vessels. We develop a classification model to predict UIAs that will grow or remain stable. The model consisted of a mesh convolutional neural network including additional novel input edge features of shape index and curvedness which describe the surface topology. It was investigated if input edge mid-point co-ordinates influenced the model performance. The model with highest AUC (63.8%) for growth prediction was using UIA meshes with input edge mid-point co-ordinate features (average F1 score = 62.3%, accuracy = 66.9%, sensitivity = 57.3%, specificity = 70.8%). We present a future UIA growth prediction model based on a mesh convolutional neural network with promising results., Comment: Accepted for The Second Workshop on Topological Data Analysis for Biomedical Data, MICCAI 2022

Published
2022

10. Variational Autoencoders with a Structural Similarity Loss in Time of Flight MRAs

Author

Timmins, Kimberley M., van der Schaaf, Irene C., Ruigrok, Ynte M., Velthuis, Birgitta K., and Kuijf, Hugo J.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Time-of-Flight Magnetic Resonance Angiographs (TOF-MRAs) enable visualization and analysis of cerebral arteries. This analysis may indicate normal variation of the configuration of the cerebrovascular system or vessel abnormalities, such as aneurysms. A model would be useful to represent normal cerebrovascular structure and variabilities in a healthy population and to differentiate from abnormalities. Current anomaly detection using autoencoding convolutional neural networks usually use a voxelwise mean-error for optimization. We propose optimizing a variational-autoencoder (VAE) with structural similarity loss (SSIM) for TOF-MRA reconstruction. A patch-trained 2D fully-convolutional VAE was optimized for TOF-MRA reconstruction by comparing vessel segmentations of original and reconstructed MRAs. The method was trained and tested on two datasets: the IXI dataset, and a subset from the ADAM challenge. Both trained networks were tested on a dataset including subjects with aneurysms. We compared VAE optimization with L2-loss and SSIM-loss. Performance was evaluated between original and reconstructed MRAs using mean square error, mean-SSIM, peak-signal-to-noise-ratio and dice similarity index (DSI) of segmented vessels. The L2-optimized VAE outperforms SSIM, with improved reconstruction metrics and DSIs for both datasets. Optimization using SSIM performed best for visual image quality, but with discrepancy in quantitative reconstruction and vascular segmentation. The larger, more diverse IXI dataset had overall better performance. Reconstruction metrics, including SSIM, were lower for MRAs including aneurysms. A SSIM-optimized VAE improved the visual perceptive image quality of TOF-MRA reconstructions. A L2-optimized VAE performed best for TOF-MRA reconstruction, where the vascular segmentation is important. SSIM is a potential metric for anomaly detection of MRAs., Comment: SPIE Medical Imaging 2021

Published
2021
Full Text
View/download PDF

11. Diagnostic value of late gadolinium enhancement at cardiovascular magnetic resonance to distinguish arrhythmogenic right ventricular cardiomyopathy from differentials

Author

Rekker, Lian Y., Muller, Steven A., Gasperetti, Alessio, Bourfiss, Mimount, Oerlemans, Marish I.F.J., Cramer, Maarten J., Zimmerman, Stefan L., Dooijes, Dennis, Schalkx, Hanke, van der Harst, Pim, James, Cynthia A., van Tintelen, J. Peter, Guglielmo, Marco, Velthuis, Birgitta K., and te Riele, Anneline S.J.M.

Published
2024
Full Text
View/download PDF

13. State-of-the-art CT and MR imaging and assessment of atherosclerotic carotid artery disease: standardization of scanning protocols and measurements—a consensus document by the European Society of Cardiovascular Radiology (ESCR)

Author

Saba, Luca, Loewe, Christian, Weikert, Thomas, Williams, Michelle C., Galea, Nicola, Budde, Ricardo P. J., Vliegenthart, Rozemarijn, Velthuis, Birgitta K., Francone, Marco, Bremerich, Jens, Natale, Luigi, Nikolaou, Konstantin, Dacher, Jean-Nicolas, Peebles, Charles, Caobelli, Federico, Redheuil, Alban, Dewey, Marc, Kreitner, Karl-Friedrich, and Salgado, Rodrigo

Published
2023
Full Text
View/download PDF

14. State-of-the-art CT and MR imaging and assessment of atherosclerotic carotid artery disease: the reporting—a consensus document by the European Society of Cardiovascular Radiology (ESCR)

Author

Saba, Luca, Loewe, Christian, Weikert, Thomas, Williams, Michelle C., Galea, Nicola, Budde, Ricardo P. J., Vliegenthart, Rozemarijn, Velthuis, Birgitta K., Francone, Marco, Bremerich, Jens, Natale, Luigi, Nikolaou, Konstantin, Dacher, Jean-Nicolas, Peebles, Charles, Caobelli, Federico, Redheuil, Alban, Dewey, Marc, Kreitner, Karl-Friedrich, and Salgado, Rodrigo

Published
2023
Full Text
View/download PDF

21. Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge

Author

Timmins, Kimberley M., van der Schaaf, Irene C., Bennink, Edwin, Ruigrok, Ynte M., An, Xingle, Baumgartner, Michael, Bourdon, Pascal, De Feo, Riccardo, Noto, Tommaso Di, Dubost, Florian, Fava-Sanches, Augusto, Feng, Xue, Giroud, Corentin, Group, Inteneural, Hu, Minghui, Jaeger, Paul F., Kaiponen, Juhana, Klimont, Michał, Li, Yuexiang, Li, Hongwei, Lin, Yi, Loehr, Timo, Ma, Jun, Maier-Hein, Klaus H., Marie, Guillaume, Menze, Bjoern, Richiardi, Jonas, Rjiba, Saifeddine, Shah, Dhaval, Shit, Suprosanna, Tohka, Jussi, Urruty, Thierry, Walińska, Urszula, Yang, Xiaoping, Yang, Yunqiao, Yin, Yin, Velthuis, Birgitta K., and Kuijf, Hugo J.

Published
2021
Full Text
View/download PDF

22. Correction to: State-of-the-art CT and MR imaging and assessment of atherosclerotic carotid artery disease: the reporting—a consensus document by the European Society of Cardiovascular Radiology (ESCR)

Author

Saba, Luca, Loewe, Christian, Weikert, Thomas, Williams, Michelle C., Galea, Nicola, Budde, Ricardo P. J., Vliegenthart, Rozemarijn, Velthuis, Birgitta K., Francone, Marco, Bremerich, Jens, Natale, Luigi, Nikolaou, Konstantin, Dacher, Jean-Nicolas, Peebles, Charles, Caobelli, Federico, Redheuil, Alban, Dewey, Marc, Kreitner, Karl-Friedrich, and Salgado, Rodrigo

Published
2023
Full Text
View/download PDF

23. Correction to: State-of-the-art CT and MR imaging and assessment of atherosclerotic carotid artery disease: standardization of scanning protocols and measurements—a consensus document by the European Society of Cardiovascular Radiology (ESCR)

Author

Saba, Luca, Loewe, Christian, Weikert, Thomas, Williams, Michelle C., Galea, Nicola, Budde, Ricardo P. J., Vliegenthart, Rozemarijn, Velthuis, Birgitta K., Francone, Marco, Bremerich, Jens, Natale, Luigi, Nikolaou, Konstantin, Dacher, Jean-Nicolas, Peebles, Charles, Caobelli, Federico, Redheuil, Alban, Dewey, Marc, Kreitner, Karl-Friedrich, and Salgado, Rodrigo

Published
2023
Full Text
View/download PDF

27. The influence of motion-compensated reconstruction on coronary artery analysis for a dual-layer detector CT system: a dynamic phantom study

Author

Researchgr. Systems Radiology, Arts-assistenten Radiologie, MS Radiologie, Circulatory Health, Researchgr. Hart-brein as., Brain, Dobrolinska, Magdalena M, Tetteroo, Philip M, Center Groningen, Groningen, The Netherlands, University, van Hamersvelt, Robbert W, Prakken, Niek H J, Slart, Riemer H J A, Vembar, Mani, Grass, Michael, Leiner, Tim, Velthuis, Birgitta K, Suchá, Dominika, van der Werf, Niels R, Researchgr. Systems Radiology, Arts-assistenten Radiologie, MS Radiologie, Circulatory Health, Researchgr. Hart-brein as., Brain, Dobrolinska, Magdalena M, Tetteroo, Philip M, Center Groningen, Groningen, The Netherlands, University, van Hamersvelt, Robbert W, Prakken, Niek H J, Slart, Riemer H J A, Vembar, Mani, Grass, Michael, Leiner, Tim, Velthuis, Birgitta K, Suchá, Dominika, and van der Werf, Niels R

Published
2024

28. Diagnostic value of late gadolinium enhancement at cardiovascular magnetic resonance to distinguish arrhythmogenic right ventricular cardiomyopathy from differentials

Author

Onderzoek Precision medicine, Team Onderzoek, Team Medisch, Circulatory Health, Genetica Sectie Genoomdiagnostiek, MS Radiologie, Cancer, Gezonde Vaten, Genetica Groep Van Tintelen, Child Health, Researchgr. Hart-brein as., Brain, Rekker, Lian Y, Muller, Steven A, Gasperetti, Alessio, Bourfiss, Mimount, Oerlemans, Marish Ifj, Cramer, Maarten J, Zimmerman, Stefan L, Dooijes, Dennis, Schalkx, Hanke, van der Harst, Pim, James, Cynthia A, Peter van Tintelen, J, Guglielmo, Marco, Velthuis, Birgitta K, Te Riele, Anneline Sjm, Onderzoek Precision medicine, Team Onderzoek, Team Medisch, Circulatory Health, Genetica Sectie Genoomdiagnostiek, MS Radiologie, Cancer, Gezonde Vaten, Genetica Groep Van Tintelen, Child Health, Researchgr. Hart-brein as., Brain, Rekker, Lian Y, Muller, Steven A, Gasperetti, Alessio, Bourfiss, Mimount, Oerlemans, Marish Ifj, Cramer, Maarten J, Zimmerman, Stefan L, Dooijes, Dennis, Schalkx, Hanke, van der Harst, Pim, James, Cynthia A, Peter van Tintelen, J, Guglielmo, Marco, Velthuis, Birgitta K, and Te Riele, Anneline Sjm

Published
2024

29. The Specificity of Left Ventricular Bite-Like Fibrofatty Replacement for Diagnosis of Arrhythmogenic Right Ventricular Cardiomyopathy

Author

Arts Assistenten Cardiologie, Team Medisch, Circulatory Health, Team Onderzoek, Researchgr. Hart-brein as., Brain, Umair, Muhammad, Asatryan, Babken, Aliyari Ghasabeh, Mounes, Bosman, Laurens P., Murray, Brittney, Tichnell, Crystal, te Riele, Anneline S.J.M., Velthuis, Birgitta K., James, Cynthia A., Zimmerman, Stefan L., Arts Assistenten Cardiologie, Team Medisch, Circulatory Health, Team Onderzoek, Researchgr. Hart-brein as., Brain, Umair, Muhammad, Asatryan, Babken, Aliyari Ghasabeh, Mounes, Bosman, Laurens P., Murray, Brittney, Tichnell, Crystal, te Riele, Anneline S.J.M., Velthuis, Birgitta K., James, Cynthia A., and Zimmerman, Stefan L.

Published
2024

30. Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy

Author

Cardiologie, Onderzoek Precision medicine, Researchgr. Hart-brein as., Brain, Circulatory Health, Camara, Oscar, Puyol-Antón, Esther, Suinesiaputra, Avan, Young, Alistair, Sermesant, Maxime, Tao, Qian, Wang, Chengyan, Alvarez-Florez, Laura, Sander, Jörg, Bourfiss, Mimount, Tjong, Fleur V.Y., Velthuis, Birgitta K., Išgum, Ivana, Cardiologie, Onderzoek Precision medicine, Researchgr. Hart-brein as., Brain, Circulatory Health, Camara, Oscar, Puyol-Antón, Esther, Suinesiaputra, Avan, Young, Alistair, Sermesant, Maxime, Tao, Qian, Wang, Chengyan, Alvarez-Florez, Laura, Sander, Jörg, Bourfiss, Mimount, Tjong, Fleur V.Y., Velthuis, Birgitta K., and Išgum, Ivana

Published
2024

31. Exercise-induced cardiac troponin release in athletes with versus without coronary atherosclerosis

Author

Researchgr. Hart-brein as., Brain, Circulatory Health, Janssen, Sylvan L.J.E., de Vries, Femke, Mingels, Alma M.A., Kleinnibbelink, Geert, Hopman, Maria T.E., Mosterd, Arend, Velthuis, Birgitta K., Aengevaeren, Vincent L., Eijsvogels, Thijs M.H., Researchgr. Hart-brein as., Brain, Circulatory Health, Janssen, Sylvan L.J.E., de Vries, Femke, Mingels, Alma M.A., Kleinnibbelink, Geert, Hopman, Maria T.E., Mosterd, Arend, Velthuis, Birgitta K., Aengevaeren, Vincent L., and Eijsvogels, Thijs M.H.

Published
2024

32. Standardizing the estimation of ischemic regions can harmonize CT perfusion stroke imaging

Author

Fysica Radiologie, Beeldverwerking ISI, Cancer, MS Radiologie, Brain, Circulatory Health, Researchgr. Hart-brein as., Peerlings, Daan, Bennink, Edwin, Dankbaar, Jan W, Velthuis, Birgitta K, Emmer, Bart J, Hoving, Jan W, Majoie, Charles B L M, Marquering, Henk A, van Voorst, Henk, de Jong, Hugo W A M, CLEOPATRA (cost-effectiveness of CT perfusion for patients with acute ischemic stroke) healthcare evaluation, DUST (Dutch acute stroke) study investigators, Fysica Radiologie, Beeldverwerking ISI, Cancer, MS Radiologie, Brain, Circulatory Health, Researchgr. Hart-brein as., Peerlings, Daan, Bennink, Edwin, Dankbaar, Jan W, Velthuis, Birgitta K, Emmer, Bart J, Hoving, Jan W, Majoie, Charles B L M, Marquering, Henk A, van Voorst, Henk, de Jong, Hugo W A M, CLEOPATRA (cost-effectiveness of CT perfusion for patients with acute ischemic stroke) healthcare evaluation, and DUST (Dutch acute stroke) study investigators

Published
2024

33. Hemodynamic Parameters in the Parent Arteries of Unruptured Intracranial Aneurysms Depend on Aneurysm Size and Are Different Compared to Contralateral Arteries: A 7 Tesla 4D Flow MRI Study

Author

Highfield Research Group, Onderzoek Beeld, Researchgr. Hart-brein as., Brain, Circulatory Health, Cardiologie onderzoek 2, Cancer, Regenerative Medicine and Stem Cells, Neurologen, MS Radiologie, van Tuijl, Rick J., Timmins, Kimberley M., Velthuis, Birgitta K., van Ooij, Pim, Zwanenburg, Jaco J.M., Ruigrok, Ynte M., van der Schaaf, Irene C., Highfield Research Group, Onderzoek Beeld, Researchgr. Hart-brein as., Brain, Circulatory Health, Cardiologie onderzoek 2, Cancer, Regenerative Medicine and Stem Cells, Neurologen, MS Radiologie, van Tuijl, Rick J., Timmins, Kimberley M., Velthuis, Birgitta K., van Ooij, Pim, Zwanenburg, Jaco J.M., Ruigrok, Ynte M., and van der Schaaf, Irene C.

Published
2024

42. Trabecular bone density in middle-aged women with reproductive disorders

Author

van Zwol-Janssens, Charissa, primary, Hage, Aglaia, additional, van der Ham, Kim, additional, Velthuis, Birgitta K, additional, Budde, Ricardo P J, additional, Koster, Maria P H, additional, Franx, Arie, additional, Fauser, Bart C J M, additional, Boersma, Eric, additional, Bos, Daniel, additional, Laven, Joop S E, additional, Louwers, Yvonne V, additional, and _, _, additional

Published
2023
Full Text
View/download PDF

44. Risk factors for atherosclerotic and medial arterial calcification of the intracranial internal carotid artery

Author

Majoie, C.B., Roos, Y.B., Duijm, L.E., Keizer, K., van der Lugt, A., Dippel, D.W., Droogh-de Greve, K.E., Bienfait, H.P., van Walderveen, M.A., Wermer, M.J.H., Lycklama à Nijeholt, G.J., Boiten, J., Duyndam, D., Kwa, V.I., Meijer, F.J., van Dijk, E.J., Kesselring, F.O., Hofmeijer, J., Vos, J.A., Schonewille, W.J., van Rooij, W.J., de Kort, P.L., Pleiter, C.C., Bakker, S.L., Bot, J., Visser, M.C., Velthuis, B.K., van der Schaaf, I.C., Dankbaar, J.W., Mali, W.P., van Seeters, T., Horsch, A.D., Niesten, J.M., Biessels, G.J., Kappelle, L.J., Luitse, M.J., van der Graaf, Y., Vos, Annelotte, Kockelkoren, Remko, de Vis, Jill B., van der Schouw, Yvonne T., van der Schaaf, Irene C., Velthuis, Birgitta K., Mali, Willem P.T.M., and de Jong, Pim A.

Published
2018
Full Text
View/download PDF

47. Screening for intracranial aneurysms in persons ⩾35 years with hypertension and atherosclerotic disease who smoke(d)

Author

Mensing, Liselore A, primary, van Tuijl, Rick J, additional, de Kort, Gerard A, additional, van der Schaaf, Irene C, additional, Visseren, Frank L, additional, Rinkel, Gabriel JE, additional, Velthuis, Birgitta K, additional, Ruigrok, Ynte M, additional, Cramer, M.J., additional, van der Meer, M.G., additional, Nathoe, H.M., additional, Teraa, M., additional, de Borst, G.J., additional, van Smeden, M., additional, Bots, M.L., additional, Emmelot-Vonk, M.H., additional, de Jong, P.A., additional, Lely, A.T., additional, van der Kaaij, N.P., additional, Kappelle, L.J., additional, Ruigrok, Y.M., additional, Verhaar, M.C., additional, Dorresteijn, J.A.N., additional, and Visseren (chair), F.L.J., additional

Published
2023
Full Text
View/download PDF

50. Hemodynamic Parameters in the Parent Arteries of Unruptured Intracranial Aneurysms Depend on Aneurysm Size and Are Different Compared to Contralateral Arteries: A 7 Tesla 4D Flow MRI Study.

Author

van Tuijl, Rick J., Timmins, Kimberley M., Velthuis, Birgitta K., van Ooij, Pim, Zwanenburg, Jaco J.M., Ruigrok, Ynte M., and van der Schaaf, Irene C.

Subjects
INTRACRANIAL aneurysms, CIRCLE of Willis, HEMODYNAMICS, ARTERIES, BLOOD flow
Abstract

Background: Different Circle of Willis (CoW) variants have variable prevalences of aneurysm development, but the hemodynamic variation along the CoW and its relation to presence and size of unruptured intracranial aneurysms (UIAs) are not well known. Purpose: Gain insight into hemodynamic imaging markers of the CoW for UIA development by comparing these outcomes to the corresponding contralateral artery without an UIA using 4D flow magnetic resonance imaging (MRI). Study Type: Retrospective, cross‐sectional study. Subjects: Thirty‐eight patients with an UIA, whereby 27 were women and a mean age of 62 years old. Field Strength/Sequence: Four‐dimensional phase‐contrast (PC) MRI with a 3D time‐resolved velocity encoded gradient echo sequence at 7 T. Assessment: Hemodynamic parameters (blood flow, velocity pulsatility index [vPI], mean velocity, distensibility, and wall shear stress [peak systolic (WSSMAX), and time‐averaged (WSSMEAN)]) in the parent artery of the UIA were compared to the corresponding contralateral artery without an UIA and were related to UIA size. Statistical Tests: Paired t‐tests and Pearson Correlation tests. The threshold for statistical significance was P < 0.05 (two‐tailed). Results: Blood flow, mean velocity, WSSMAX, and WSSMEAN were significantly higher, while vPI was lower, in the parent artery relative to contralateral artery. The WSSMAX of the parent artery significantly increased linearly while the WSSMEAN decreased linearly with increasing UIA size. Conclusions: Hemodynamic parameters and WSS differ between parent vessels of UIAs and corresponding contralateral vessels. WSS correlates with UIA size, supporting a potential hemodynamic role in aneurysm pathology. Level of Evidence: 2 Technical Efficacy: Stage 2 [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results