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407 results on '"Brott, Brigitta C."'

1. SCPAT-GAN: Structural Constrained and Pathology Aware Convolutional Transformer-GAN for Virtual Histology Staining of Human Coronary OCT images

Author

Li, Xueshen, Liu, Hongshan, Song, Xiaoyu, Brott, Brigitta C., Litovsky, Silvio H., and Gan, Yu

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

There is a significant need for the generation of virtual histological information from coronary optical coherence tomography (OCT) images to better guide the treatment of coronary artery disease. However, existing methods either require a large pixel-wisely paired training dataset or have limited capability to map pathological regions. To address these issues, we proposed a structural constrained, pathology aware, transformer generative adversarial network, namely SCPAT-GAN, to generate virtual stained H&E histology from OCT images. The proposed SCPAT-GAN advances existing methods via a novel design to impose pathological guidance on structural layers using transformer-based network., Comment: 9 pages, 4 figures

Published
2023

2. Structural constrained virtual histology staining for human coronary imaging using deep learning

Author

Li, Xueshen, Liu, Hongshan, Song, Xiaoyu, Brott, Brigitta C., Litovsky, Silvio H., and Gan, Yu

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

Histopathological analysis is crucial in artery characterization for coronary artery disease (CAD). However, histology requires an invasive and time-consuming process. In this paper, we propose to generate virtual histology staining using Optical Coherence Tomography (OCT) images to enable real-time histological visualization. We develop a deep learning network, namely Coronary-GAN, to transfer coronary OCT images to virtual histology images. With a special consideration on the structural constraints in coronary OCT images, our method achieves better image generation performance than the conventional GAN-based method. The experimental results indicate that Coronary-GAN generates virtual histology images that are similar to real histology images, revealing the human coronary layers., Comment: 5 pages, 5 figures, submitted to IEEE ISBI

Published
2022

3. Towards reliable calcification detection: calibration of uncertainty in coronary optical coherence tomography images

Author

Liu, Hongshan, Li, Xueshen, Bamba, Abdul Latif, Song, Xiaoyu, Brott, Brigitta C., Litovsky, Silvio H., and Gan, Yu

Subjects
Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Optical coherence tomography (OCT) has become increasingly essential in assisting the treatment of coronary artery disease (CAD). Image-guided solutions such as Percutaneous Coronary Intervention (PCI) are extensively used during the treatment of CAD. However, unidentified calcified regions within a narrowed artery could impair the outcome of the PCI. Prior to treatments, object detection is paramount to automatically procure accurate readings on the location and thickness of calcifications within the artery. Deep learning-based object detection methods have been explored in a variety of applications. The quality of object detection predictions could lead to uncertain results, which are not desirable in safety-critical scenarios. In this work, we implement an object detection model, You-Only-Look-Once v5 (YOLO), on a calcification detection framework within coronary OCT images. We evaluate the uncertainty of predictions based on the expected calibration errors, thus assessing the certainty level of detection results. To calibrate confidence scores of predictions, we implement dependent logistic calibration using each detection result's confidence and center coordinates. With the calibrated confidence score of each prediction, we lower the uncertainty of predictions in calcification detection. Our results show that the YOLO achieves higher precision and recall in comparison with the other object detection model, meanwhile producing more reliable results. The calibrated confidence of prediction results in a confidence error of approximately 0.13, suggesting that the confidence calibration on calcification detection could provide a more trustworthy result, indicating a great potential to assist clinical evaluation of treating the CAD during the imaging-guided procedure.

Published
2022
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4. Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning

Author

Li, Xueshen, Cao, Shengting, Liu, Hongshan, Yao, Xinwen, Brott, Brigitta C., Litovsky, Silvio H., Song, Xiaoyu, Ling, Yuye, and Gan, Yu

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

Coronary artery disease (CAD) is a cardiovascular condition with high morbidity and mortality. Intravascular optical coherence tomography (IVOCT) has been considered as an optimal imagining system for the diagnosis and treatment of CAD. Constrained by Nyquist theorem, dense sampling in IVOCT attains high resolving power to delineate cellular structures/ features. There is a trade-off between high spatial resolution and fast scanning rate for coronary imaging. In this paper, we propose a viable spectral-spatial acquisition method that down-scales the sampling process in both spectral and spatial domain while maintaining high quality in image reconstruction. The down-scaling schedule boosts data acquisition speed without any hardware modifications. Additionally, we propose a unified multi-scale reconstruction framework, namely Multiscale- Spectral-Spatial-Magnification Network (MSSMN), to resolve highly down-scaled (compressed) OCT images with flexible magnification factors. We incorporate the proposed methods into Spectral Domain OCT (SD-OCT) imaging of human coronary samples with clinical features such as stent and calcified lesions. Our experimental results demonstrate that spectral-spatial downscaled data can be better reconstructed than data that is downscaled solely in either spectral or spatial domain. Moreover, we observe better reconstruction performance using MSSMN than using existing reconstruction methods. Our acquisition method and multi-scale reconstruction framework, in combination, may allow faster SD-OCT inspection with high resolution during coronary intervention., Comment: 11 pages, 8 figures, reviewed by IEEE trans BME

Published
2022

11. Structurally constrained and pathology-aware convolutional transformer generative adversarial network for virtual histology staining of human coronary optical coherence tomography images.

Author

Xueshen Li, Hongshan Liu, Xiaoyu Song, Marboe, Charles C., Brott, Brigitta C., Litovsky, Silvio H., and Yu Gan

Subjects
GENERATIVE adversarial networks, VIRTUAL networks, HISTOLOGY, OPTICAL coherence tomography, CORONARY artery disease, IMAGE recognition (Computer vision), INSPECTION & review
Abstract

Significance: There is a significant need for the generation of virtual histological information from coronary optical coherence tomography (OCT) images to better guide the treatment of coronary artery disease (CAD). However, existing methods either require a large pixel-wise paired training dataset or have limited capability to map pathological regions. Aim: The aim of this work is to generate virtual histological information from coronary OCT images, without a pixel-wise paired training dataset while capable of providing pathological patterns. Approach: We design a structurally constrained, pathology-aware, transformer generative adversarial network, namely structurally constrained pathology-aware convolutional transformer generative adversarial network (SCPAT-GAN), to generate virtual stained H&E histology from OCT images. We quantitatively evaluate the quality of virtual stained histology images by measuring the Fréchet inception distance (FID) and perceptual hash value (PHV). Moreover, we invite experienced pathologists to evaluate the virtual stained images. Furthermore, we visually inspect the virtual stained image generated by SCPAT-GAN. Also, we perform an ablation study to validate the design of the proposed SCPAT-GAN. Finally, we demonstrate 3D virtual stained histology images. Results: Compared to previous research, the proposed SCPAT-GAN achieves better FID and PHV scores. The visual inspection suggests that the virtual histology images generated by SCPAT-GAN resemble both normal and pathological features without artifacts. As confirmed by the pathologists, the virtual stained images have good quality compared to real histology images. The ablation study confirms the effectiveness of the combination of proposed pathological awareness and structural constraining modules. Conclusions: The proposed SCPAT-GAN is the first to demonstrate the feasibility of generating both normal and pathological patterns without pixel-wisely supervised training. We expect the SCPAT-GAN to assist in the clinical evaluation of treating the CAD by providing 2D and 3D histopathological visualizations. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Multisite Investigation of Outcomes With Implementation of CYP2C19 Genotype-Guided Antiplatelet Therapy After Percutaneous Coronary Intervention

Author

Cavallari, Larisa H., Lee, Craig R., Beitelshees, Amber L., Cooper-DeHoff, Rhonda M., Duarte, Julio D., Voora, Deepak, Kimmel, Stephen E., McDonough, Caitrin W., Gong, Yan, Dave, Chintan V., Pratt, Victoria M., Alestock, Tameka D., Anderson, R. David, Alsip, Jorge, Ardati, Amer K., Brott, Brigitta C., Brown, Lawrence, Chumnumwat, Supatat, Clare-Salzler, Michael J., Coons, James C., Denny, Joshua C., Dillon, Chrisly, Elsey, Amanda R., Hamadeh, Issam S., Harada, Shuko, Hillegass, William B., Hines, Lindsay, Horenstein, Richard B., Howell, Lucius A., Jeng, Linda J.B., Kelemen, Mark D., Lee, Yee Ming, Magvanjav, Oyunbileg, Montasser, May, Nelson, David R., Nutescu, Edith A., Nwaba, Devon C., Pakyz, Ruth E., Palmer, Kathleen, Peterson, Josh F., Pollin, Toni I., Quinn, Alison H., Robinson, Shawn W., Schub, Jamie, Skaar, Todd C., Smith, D. Max, Sriramoju, Vindhya B., Starostik, Petr, Stys, Tomasz P., Stevenson, James M., Varunok, Nicholas, Vesely, Mark R., Wake, Dyson T., Weck, Karen E., Weitzel, Kristin W., Wilke, Russell A., Willig, James, Zhao, Richard Y., Kreutz, Rolf P., Stouffer, George A., Empey, Philip E., Limdi, Nita A., Shuldiner, Alan R., Winterstein, Almut G., and Johnson, Julie A.

Published
2018
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15. C-8 | Analysis of Impella for Treatment of Acute Myocardial Infarction and Cardiogenic Shock: Outcomes of the RECOVER III Post-Approval Study by SCAI Shock Stage

Author

Hanson, Ivan, primary, Rusia, Akash, additional, Palomo, Andres P., additional, Tawney, Adam M., additional, Pow, Timothy, additional, Dixon, Simon R., additional, Meraj, Perwaiz M., additional, Sievers, Eric, additional, Brott, Brigitta C., additional, Johnson, Michael, additional, Wohns, David H., additional, Ali, Omar, additional, Kapur, Navin K., additional, Grines, Cindy L., additional, Burkhoff, Daniel, additional, Anderson, Marc B., additional, and O'Neill, William W., additional

Published
2023
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20. MiR-146a encapsulated liposomes reduce vascular inflammatory responses through decrease of ICAM-1 expression, macrophage activation, and foam cell formation

Author

Ho, Donald, primary, Lynd, Tyler O., additional, Jun, Claire, additional, Shin, Juhee, additional, Millican, Reid C., additional, Estep, Benjamin K., additional, Chen, Jun, additional, Zhang, Xixi, additional, Brott, Brigitta C., additional, Kim, Dong Woon, additional, Sherwood, Jennifer A., additional, and Hwang, Patrick T. J., additional

Published
2023
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22. Additional file 1 of A multi-targeting bionanomatrix coating to reduce capsular contracture development on silicone implants

Author

Hwang, Patrick, Shin, Chung Min, Sherwood, Jennifer A., Kim, DongHo, Vijayan, Vineeth M., Josyula, Krishna C., Millican, Reid C., Ho, Donald, Brott, Brigitta C., Thomas, Vinoy, Choi, Chul Hee, Oh, Sang-Ha, Kim, Dong Woon, and Jun, Ho-Wook

Abstract

Additional file 1: Fig. S1. Scanning electron microscopyimage of uncoated silicone surface. Fig. S2. Contact angle measurement ofuncoated,30-layer bionanomatrix coated, and60-layer bionanomatrix coatedsilicone implants.As per journal requirements, every additional file must have a corresponding caption. In this regard, please be informed that the caption was taken from the additional e-file itself. Please advise if the action taken is appropriate and amend if necessary.There is no problem with captions.

Published
2023
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26. Clinical importance of biocorrosion of metal implants - experimentation and modeling

Author

Kapnisis, Konstantinos, Kokkinidou, Despoina, Wang, Dehzi, Anderson, Peter G., Brott, Brigitta C., Lemons, Jack E., and Anayiotos, Andreas

Subjects
Metal implants, Biocorrosion, Engineering and Technology, Stents, Materials Engineering
Abstract

Medical device materials contain chemicals that pose toxicological problems if released in sufficient quantities in the body. Toxicological risk assessment and prevention by manufacturers include metal surface treatments, in vitro extraction testing and animal experiments to minimize the potential for patients to be exposed to chemicals that may possibly leach out of device materials. Stent retrieval studies by us and others [1.2.3] have shown significant corrosion and leaching of device materials into the body with significant concern by the FDA in numerous recent reports [3,4]. To investigate the peri-implant tissue response to stent biocorrosion, custom made self-expanding nitinol stents (0.7 x 3.3 mm), were implanted in the common carotid artery of male CD1 mice (Project license: CY/EXP/PR.L9/2019). Non-corroded (electropolished) and corroded (heat treated) stents were pre- and post-implantation examined using SEM and also evaluated for Ni ion release (quantified via ICP-MS) in a 60-day immersion test in PBS. Sham-stented samples were also prepared to control for any non-stent related inflammatory effects such as endothelial layer damage caused during catheter guidance. Mice were euthanized under anesthesia at 4 and 8 weeks after surgery and harvested tissue samples were perfusion fixed in situ with 4% PFA for histological analysis which included stent-tissue interaction, thrombus formation, inflammation, and the presence of neointima. A separate group of operated mice was also prepared for nickel ion quantification in peri-implant tissue (dissolved in NaOH and analyzed via ICP-MS). Right before euthanasia, whole blood samples were collected, in citrate prefilled syringes using the cardiac puncture technique, for hematological analysis. Our results indicate that stent surface condition and implantation time affect the development and extent of neointima. The hematological and histological data revealed a significant increase in inflammatory cells, thrombus formation and mature neointima in corroded stented aortas with respect to the electropolished stented aortas. Elevated metal particle contamination, prompted by corroded stents, triggers an inflammatory response. Further studies are warranted to systematically characterize this mechanism that may lead to the development of in-stent restenosis.

Published
2022

27. Subcutaneous Administration of a Nitric Oxide-Releasing Nanomatrix Gel Ameliorates Obesity and Insulin Resistance in High-Fat Diet-Induced Obese Mice

Author

Ren, Guang, primary, Hwang, Patrick Tae Joon, additional, Millican, Reid, additional, Shin, Juhee, additional, Brott, Brigitta C., additional, van Groen, Thomas, additional, Powell, Craig M., additional, Bhatnagar, Sushant, additional, Young, Martin E., additional, Jun, Ho-Wook, additional, and Kim, Jeong-a, additional

Published
2022
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31. Recent Progress in in vitro Models for Atherosclerosis Studies

Author

Chen, Jun, primary, Zhang, Xixi, additional, Millican, Reid, additional, Lynd, Tyler, additional, Gangasani, Manas, additional, Malhotra, Shubh, additional, Sherwood, Jennifer, additional, Hwang, Patrick Taejoon, additional, Cho, Younghye, additional, Brott, Brigitta C., additional, Qin, Gangjian, additional, Jo, Hanjoong, additional, Yoon, Young-sup, additional, and Jun, Ho-Wook, additional

Published
2022
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48. Pro-Healing Nanomatrix-Coated Stent Analysis in an In VitroVascular Double-Layer System and in a Rabbit Model

Author

Zhang, Xixi, Chen, Jun, Brott, Brigitta C., Anderson, Peter G., Hwang, Patrick T.J., Sherwood, Jennifer, Huskin, Gillian, Yoon, Young-sup, Virmani, Renu, and Jun, Ho-Wook

Abstract

Cardiovascular stent technologies have significantly improved over time. However, their optimal performance remains limited by restenosis, thrombosis, inflammation, and delayed re-endothelialization. Current stent designs primarily target inhibition of neointimal proliferation but do not promote functional arterial healing (pro-healing) in order to restore normal vascular reactivity. The endothelial lining that does develop with current stents appears to have loose intracellular junctions. We have developed a pro-healing nanomatrix coating for stents that enhances healing while limiting neointimal proliferation. This builds on our prior work evaluating the effects of the pro-healing nanomatrix coating on cultures of vascular endothelial cells (ECs), smooth muscle cells (SMCs), monocytes, and platelets. However, when a stent is deployed in an artery, multiple vascular cell types interact, and their interactions affect stent performance. Thus, in our current study, an in vitrovascular double-layer (VDL) system was used to observe stent effects on communication between different vascular cell types. Additionally, we assessed the pro-healing ability and vascular cell interactions after stent deployment in the VDL system and in a rabbit model, evaluating the nanomatrix-coated stent compared to a commercial bare metal stent (BMS) and a drug eluting stent (DES). In vitroresults indicated that, in a layered vascular structure, the pro-healing nanomatrix-coated stent could (1) improve endothelialization and endothelial functions, (2) regulate SMC phenotype to reduce SMC proliferation and migration, (3) suppress inflammation through a multifactorial manner, and (4) reduce foam cell formation, extracellular matrix remodeling, and calcification. Consistent with this, in vivoresults demonstrated that, compared with commercial BMS and DES, this pro-healing nanomatrix-coated stent enhanced re-endothelialization with negligible restenosis, inflammation, or thrombosis. Thus, these findings indicate the unique pro-healing features of this nanomatrix stent coating with superior efficacy over commercial BMS and DES.

Published
2022
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