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Carotid artery plaques can cause arterial vascular diseases such as stroke and myocardial infarction, posing a severe threat to human life. However, the current clinical examination mainly relies on a direct assessment by physicians of…

Human-Computer Interaction · Computer Science 2023-08-15 Chaoqing Xu , Zhentao Zheng , Yiting Fu , Baofeng Chang , Legao Chen , Minghui Wu , Mingli Song , Jinsong Jiang

Simulation of arterial stenting procedures prior to intervention allows for appropriate device selection as well as highlights potential complications. To this end, we present a framework for facilitating virtual aortic stenting from a…

Computer Vision and Pattern Recognition · Computer Science 2011-03-10 Jan Egger , Bernd Freisleben , Randolph Setser , Rahul Renapuraar , Christina Biermann , Thomas O'Donnell

Coronary angiography analysis is a common clinical task performed by cardiologists to diagnose coronary artery disease (CAD) through an assessment of atherosclerotic plaque's accumulation. This study introduces an end-to-end machine…

Image and Video Processing · Electrical Eng. & Systems 2023-10-30 Muhammad Bilal , Dinis Martinho , Reiner Sim , Adnan Qayyum , Hunaid Vohra , Massimo Caputo , Taofeek Akinosho , Sofiat Abioye , Zaheer Khan , Waleed Niaz , Junaid Qadir

The identification of pulmonary lobes is of great importance in disease diagnosis and treatment. A few lung diseases have regional disorders at lobar level. Thus, an accurate segmentation of pulmonary lobes is necessary. In this work, we…

Computer Vision and Pattern Recognition · Computer Science 2019-09-25 Wenjia Wang , Junxuan Chen , Jie Zhao , Ying Chi , Xuansong Xie , Li Zhang , Xiansheng Hua

Coronary heart disease is one of the top rank leading cause of mortality in the world which can be because of plaque burden inside the arteries. Intravascular Ultrasound (IVUS) has been recognized as power- ful imaging technology which…

Computer Vision and Pattern Recognition · Computer Science 2018-06-21 Chirag Balakrishna , Sarshar Dadashzadeh , Sara Soltaninejad

The segmentation and classification of cardiac magnetic resonance imaging are critical for diagnosing heart conditions, yet current approaches face challenges in accuracy and generalizability. In this study, we aim to further advance the…

Image and Video Processing · Electrical Eng. & Systems 2024-12-13 Vitalii Slobodzian , Pavlo Radiuk , Oleksander Barmak , Iurii Krak

Cardiac structure segmentation plays an important role in medical analysis procedures. Images' blurred boundaries issue always limits the segmentation performance. To address this difficult problem, we presented a novel network structure…

Computer Vision and Pattern Recognition · Computer Science 2019-07-03 Fei Feng , Jiajia Luo

Segmentation of medical images using seeded region growing technique is increasingly becoming a popular method because of its ability to involve high-level knowledge of anatomical structures in seed selection process. Region based…

Computer Vision and Pattern Recognition · Computer Science 2016-09-08 G. N. Harikrishna Rai , T. R. Gopalakrishnan Nair

Vessel tracing by modeling vascular structures in 3D medical images with centerlines and radii can provide useful information for vascular health. Existing algorithms have been developed but there are certain persistent problems such as…

Image and Video Processing · Electrical Eng. & Systems 2021-07-20 Li Chen , Wenjin Liu , Niranjan Balu , Mahmud Mossa-Basha , Thomas S. Hatsukami , Jenq-Neng Hwang , Chun Yuan

Optical observations of solar corona provide key information on its magnetic geometry. The large-scale open field of the corona plays an important role in shaping the ambient solar wind and constraining the propagation dynamics of the…

Solar and Stellar Astrophysics · Physics 2025-06-19 Vadim M. Uritsky , Christopher E. Rura , Cooper Downs , Shaela I. Jones , Charles Nickolos Arge , Nathalia Alzate

The objective of this study is the segmentation of the intima-media complex of the common carotid artery, on longitudinal ultrasound images, to measure its thickness. We propose a fully automatic region-based segmentation method, involving…

Image and Video Processing · Electrical Eng. & Systems 2022-01-31 Nolann Lainé , Guillaume Zahnd , Herv é Liebgott , Maciej Orkisz

We hereby present a full synthetic model, able to mimic the various constituents of the cerebral vascular tree: the cerebral arteries, the bifurcations and the intracranial aneurysms. By building this model, our goal was to provide a…

Image and Video Processing · Electrical Eng. & Systems 2024-03-28 Rafic Nader , Florent Autrusseau , Vincent L'Allinec , Romain Bourcier

This paper introduces an analytical method to calculate segment-level wavefront error tolerances in order to enable the detection of faint extra-solar planets using segmented telescopes in space. This study provides a full treatment of…

Instrumentation and Methods for Astrophysics · Physics 2021-03-31 Iva Laginja , Remi Soummer , Laurent M. Mugnier , Laurent Pueyo , Jean-Francois Sauvage , Lucie Leboulleux , Laura Coyle , J. Scott Knight

Optical coherence tomography angiography (OCTA) is a novel noninvasive imaging modality for visualization of retinal blood flow in the human retina. Using specific OCTA imaging biomarkers for the identification of pathologies, automated…

Image and Video Processing · Electrical Eng. & Systems 2025-04-09 Anna Breger , Felix Goldbach , Bianca S. Gerendas , Ursula Schmidt-Erfurth , Martin Ehler

Epicardial adipose tissue is a type of adipose tissue located between the heart wall and a protective layer around the heart called the pericardium. The volume and thickness of epicardial adipose tissue are linked to various cardiovascular…

Image and Video Processing · Electrical Eng. & Systems 2022-04-28 Marin Benčević , Marija Habijan , Irena Galić

The segmentation module which precisely outlines the nodules is a crucial step in a computer-aided diagnosis(CAD) system. The most challenging part of such a module is how to achieve high accuracy of the segmentation, especially for the…

Image and Video Processing · Electrical Eng. & Systems 2022-02-09 Xinliang Fu , Jiayin Zheng , Juanyun Mai , Yanbo Shao , Minghao Wang , Linyu Li , Zhaoqi Diao , Yulong Chen , Jianyu Xiao , Jian You , Airu Yin , Yang Yang , Xiangcheng Qiu , Jinsheng Tao , Bo Wang , Hua Ji

Tight-frame, a generalization of orthogonal wavelets, has been used successfully in various problems in image processing, including inpainting, impulse noise removal, super-resolution image restoration, etc. Segmentation is the process of…

Numerical Analysis · Mathematics 2015-03-19 Xiaohao Cai , Raymond Chan , Serena Morigi , Fiorella Sgallari

Coronary artery segmentation on coronary-computed tomography angiography (CCTA) images is crucial for clinical use. Due to the expertise-required and labor-intensive annotation process, there is a growing demand for the relevant…

Computer Vision and Pattern Recognition · Computer Science 2023-07-11 Zheng Zhang , Xiaolei Zhang , Yaolei Qi , Guanyu Yang

Cellular electron cryo-tomography enables the 3D visualization of cellular organization in the near-native state and at submolecular resolution. However, the contents of cellular tomograms are often complex, making it difficult to…

Quantitative Methods · Quantitative Biology 2017-12-29 Xiangrui Zeng , Miguel Ricardo Leung , Tzviya Zeev-Ben-Mordehai , Min Xu

Recent development of photon-counting CT (PCCT) brings great opportunities for plaque characterization with much-improved spatial resolution and spectral imaging capability. While existing coronary plaque PCCT imaging results are based on…

Medical Physics · Physics 2023-12-05 Mengzhou Li , Mingye Wu , Jed Pack , Pengwei Wu , Bruno De Man , Adam Wang , Koen Nieman , Ge Wang
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