English
Related papers

Related papers: Coronary Artery Segmentation from Intravascular Op…

200 papers

Automated noninvasive cardiac diagnosis plays a critical role in the early detection of cardiac disorders and cost-effective clinical management. Automated diagnosis involves the automated segmentation and analysis of cardiac images.…

Image and Video Processing · Electrical Eng. & Systems 2025-04-21 Racheal Mukisa , Arvind K. Bansal

Coronary artery disease accounts for a large number of deaths across the world and clinicians generally prefer using x-ray computed tomography or magnetic resonance imaging for localizing vascular pathologies. Interventional imaging…

Computer Vision and Pattern Recognition · Computer Science 2019-01-23 Debarghya China , Pabitra Mitra , Debdoot Sheet

Coronary artery diseases are among the leading causes of mortality worldwide. Timely and accurate diagnosis, facilitated by precise coronary artery segmentation, is pivotal in changing patient outcomes. In the realm of biomedical imaging,…

Image and Video Processing · Electrical Eng. & Systems 2023-10-17 Shisheng Zhang , Ramtin Gharleghi , Sonit Singh , Arcot Sowmya , Susann Beier

Accurate segmentation and motion estimation of myocardium have always been important in clinic field, which essentially contribute to the downstream diagnosis. However, existing methods cannot always guarantee the shape integrity for…

Computer Vision and Pattern Recognition · Computer Science 2022-07-22 Xiaoling Hu , Xiao Chen , Yikang Liu , Eric Z. Chen , Terrence Chen , Shanhui Sun

Optical coherence tomography (OCT) is a non-invasive 3D modality widely used in ophthalmology for imaging the retina. Achieving automated, anatomically coherent retinal layer segmentation on OCT is important for the detection and monitoring…

Image and Video Processing · Electrical Eng. & Systems 2022-10-26 Botond Fazekas , Guilherme Aresta , Dmitrii Lachinov , Sophie Riedl , Julia Mai , Ursula Schmidt-Erfurth , Hrvoje Bogunovic

Precisely estimating lumen boundaries in intravascular ultrasound (IVUS) is needed for sizing interventional stents to treat deep vein thrombosis (DVT). Unfortunately, current segmentation networks like the UNet lack the precision needed…

Optical coherence tomography angiography (OCTA) is a noninvasive imaging technique that can reveal high-resolution retinal vessels. In this work, we propose an accurate and efficient neural network for retinal vessel segmentation in OCTA…

Image and Video Processing · Electrical Eng. & Systems 2023-09-19 Haojian Ning , Chengliang Wang , Xinrun Chen , Shiying Li

Multi-view echocardiographic sequences segmentation is crucial for clinical diagnosis. However, this task is challenging due to limited labeled data, huge noise, and large gaps across views. Here we propose a recurrent aggregation learning…

Image and Video Processing · Electrical Eng. & Systems 2019-07-29 Ming Li , Weiwei Zhang , Guang Yang , Chengjia Wang , Heye Zhang , Huafeng Liu , Wei Zheng , Shuo Li

Accurate segmentation of cerebral vasculature and a quantitative assessment of cerebrovascular morphology is critical to various diagnostic and therapeutic purposes and is pertinent to studying brain health and disease. However, this is…

Quantitative Methods · Quantitative Biology 2020-02-27 Aditi Deshpande , Nima Jamilpour , Bin Jiang , Chelsea Kidwell , Max Wintermark , Kaveh Laksari

Bioresorbable scaffolds have become a popular choice for treatment of coronary heart disease, replacing traditional metal stents. Often, intravascular optical coherence tomography is used to assess potential malapposition after implantation…

Computer Vision and Pattern Recognition · Computer Science 2018-10-24 Nils Gessert , Sarah Latus , Youssef S. Abdelwahed , David M. Leistner , Matthias Lutz , Alexander Schlaefer

Image-based modeling is essential for understanding cardiovascular hemodynamics and advancing the diagnosis and treatment of cardiovascular diseases. Constructing patient-specific vascular models remains labor-intensive, error-prone, and…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Pan Du , Delin An , Chaoli Wang , Jian-Xun Wang

Accurate cerebrovascular segmentation from Magnetic Resonance Angiography (MRA) and Computed Tomography Angiography (CTA) is of great significance in diagnosis and treatment of cerebrovascular pathology. Due to the complexity and topology…

Image and Video Processing · Electrical Eng. & Systems 2024-11-22 Zhanqiang Guo , Yao Luan , Jianjiang Feng , Wangsheng Lu , Yin Yin , Guangming Yang , Jie Zhou

Optical coherence tomography (OCT) is a medical imaging modality that allows us to probe deeper substructures of skin. The state-of-the-art wound care prediction and monitoring methods are based on visual evaluation and focus on surface…

Image and Video Processing · Electrical Eng. & Systems 2023-06-05 Prashant Kumar , Swatantra Dhara , Ayan Gope , Jyotirmoy Chatterjee , Subhamoy Mandal

Medical image segmentation is essential for clinical diagnosis, surgical planning, and treatment monitoring. Traditional approaches typically strive to tackle all medical image segmentation scenarios via one-time learning. However, in…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Zhaori Liu , Mengyang Li , Hu Han , Enli Zhang , Shiguang Shan , Zhiming Zhao

The choroid provides oxygen and nourishment to the outer retina thus is related to the pathology of various ocular diseases. Optical coherence tomography (OCT) is advantageous in visualizing and quantifying the choroid in vivo. (1) The…

Image and Video Processing · Electrical Eng. & Systems 2020-09-09 Huihong Zhang , Jianlong Yang , Kang Zhou , Fei Li , Yan Hu , Yitian Zhao , Ce Zheng , Xiulan Zhang , Jiang Liu

Cardiovascular diseases (CVD) are the leading cause of death globally. Non-invasive, cost-effective imaging techniques play a crucial role in early detection and prevention of CVD. Optical coherence tomography (OCT) has gained recognition…

Image and Video Processing · Electrical Eng. & Systems 2025-01-08 Cynthia Maldonado-Garcia , Rodrigo Bonazzola , Enzo Ferrante , Thomas H Julian , Panagiotis I Sergouniotis , Nishant Ravikumara , Alejandro F Frangi

Optical coherence tomography angiography (OCTA) is a novel non-invasive imaging modality that allows micron-level resolution to visualize the retinal microvasculature. The retinal vessel segmentation in OCTA images is still an open problem,…

Image and Video Processing · Electrical Eng. & Systems 2022-05-10 Mingchao Li , Yerui Chen , Weiwei Zhang , Qiang Chen

Accurate segmentation of the heart is an important step towards evaluating cardiac function. In this paper, we present a fully automated framework for segmentation of the left (LV) and right (RV) ventricular cavities and the myocardium…

Computer Vision and Pattern Recognition · Computer Science 2017-10-11 Christian F. Baumgartner , Lisa M. Koch , Marc Pollefeys , Ender Konukoglu

In stable coronary artery disease (CAD), reduction in mortality and/or myocardial infarction with revascularization over medical therapy has not been reliably achieved. Coronary arteries are usually extracted to perform stenosis detection.…

Image and Video Processing · Electrical Eng. & Systems 2021-01-26 Chen Zhao , Haipeng Tang , Daniel McGonigle , Zhuo He , Chaoyang Zhang , Yu-Ping Wang , Hong-Wen Deng , Robert Bober , Weihua Zhou

Optical Coherence Tomography Angiography (OCTA) and its derived en-face projections provide high-resolution visualization of the retinal and choroidal vasculature, which is critical for the rapid and accurate diagnosis of retinal diseases.…

Computer Vision and Pattern Recognition · Computer Science 2025-09-10 Pooya Khosravi , Kun Han , Anthony T. Wu , Arghavan Rezvani , Zexin Feng , Xiaohui Xie
‹ Prev 1 4 5 6 7 8 10 Next ›