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Related papers: Automatic Coronary Artery Plaque Quantification an…

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The analysis of plaque deposits in the coronary vasculature is an important topic in current clinical research. From a technical side mostly new algorithms for different sub tasks - e.g. centerline extraction or vessel/plaque segmentation -…

Computer Vision and Pattern Recognition · Computer Science 2021-01-12 Felix Denzinger , Michael Wels , Christian Hopfgartner , Jing Lu , Max Schöbinger , Andreas Maier , Michael Sühling

Women are underdiagnosed and undertreated for cardiovascular disease. Automatic quantification of breast arterial calcification on screening mammography can identify women at risk for cardiovascular disease and enable earlier treatment and…

Cardiovascular disease causes high rates of mortality worldwide. Coronary artery calcium (CAC) scoring is a powerful tool to stratify the risk of atherosclerotic cardiovascular disease. Current scoring practices require time-intensive…

Computer Vision and Pattern Recognition · Computer Science 2025-11-12 Lachlan Nguyen , Aidan Cousins , Arcot Sowmya , Hugh Dixson , Sonit Singh

Coronary CT angiography (CCTA) and intravascular ultrasound (IVUS) provide complementary information for coronary artery disease assessment, making their registration valuable for comprehensive analysis. However, existing registration…

Image and Video Processing · Electrical Eng. & Systems 2024-12-24 R. L. M. van Herten , José P. Henriques , R. Nils Planken , Joost Daemen , Eline M. J. Hartman , Jolanda J. Wentzel , Ivana Išgum

Coronary computed tomography angiography (CCTA) provides 3D information on obstructive coronary artery disease, but cannot fully visualize high-resolution features within the vessel wall. Intravascular imaging, in contrast, can spatially…

Image and Video Processing · Electrical Eng. & Systems 2025-09-10 Karim Kadry , Abhishek Karmakar , Andreas Schuh , Kersten Peterson , Michiel Schaap , David Marlevi , Charles Taylor , Elazer Edelman , Farhad Nezami

This study was conducted to develop a computer-aided detection (CAD) system for triaging patients with pulmonary embolism (PE). The purpose of the system was to reduce the death rate during the waiting period. Computed tomography pulmonary…

Image and Video Processing · Electrical Eng. & Systems 2022-04-08 Ching-Yuan Yu , Ming-Che Chang , Yun-Chien Cheng , Chin Kuo

Nowadays, pulmonary Computed Tomography Angiography (CTA) is the main tool for detecting Pulmonary Embolism (PE). However, manual interpretation of CTA volume requires a radiologist, which is time-consuming and error-prone due to the…

Image and Video Processing · Electrical Eng. & Systems 2023-12-05 Seyed Hesamoddin Hosseini , Amir Hossein Taherinia , Mahdi Saadatmand

Coronary artery calcium (CAC) burden quantified in low-dose chest CT is a predictor of cardiovascular events. We propose an automatic method for CAC quantification, circumventing intermediate segmentation of CAC. The method determines a…

Computer Vision and Pattern Recognition · Computer Science 2017-12-11 Bob D. de Vos , Nikolas Lessmann , Pim A. de Jong , Max A. Viergever , Ivana Isgum

At present, coronary angiography is the well known standard for the diagnosis of coronary artery disease. Conventional coronary angiography is an invasive procedure with a small, yet inherent risk of myocardial infarction, stroke, potential…

Computer Vision and Pattern Recognition · Computer Science 2011-04-19 B. G. Kodge , P. S. Hiremath

Acute Coronary Syndrome (ACS) is a syndrome caused by a decrease in blood flow in the coronary arteries. The ACS is usually related to coronary thrombosis and is primarily caused by plaque rupture followed by plaque erosion and calcified…

Computer Vision and Pattern Recognition · Computer Science 2020-05-22 Tae Joon Jun , Soo-Jin Kang , June-Goo Lee , Jihoon Kweon , Wonjun Na , Daeyoun Kang , Dohyeun Kim , Daeyoung Kim , Young-Hak Kim

Coronary heart disease is a common cause of death despite being preventable. To treat the underlying plaque deposits in the arterial walls, intravascular optical coherence tomography can be used by experts to detect and characterize the…

Computer Vision and Pattern Recognition · Computer Science 2018-08-27 Nils Gessert , Matthias Lutz , Markus Heyder , Sarah Latus , David M. Leistner , Youssef S. Abdelwahed , Alexander Schlaefer

Coronary artery calcification (CAC) is a strong predictor of cardiovascular risk but remains underutilized in clinical routine thoracic imaging due to the need for dedicated imaging protocols and manual annotation. We present DeepCAC2, a…

Image and Video Processing · Electrical Eng. & Systems 2026-03-27 Leonard Nürnberg , Simon Bernatz , Borek Foldyna , Michael T. Lu , Andrey Fedorov , Hugo JWL Aerts

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

Enhancing the precision of segmenting coronary atherosclerotic plaques from CT Angiography (CTA) images is pivotal for advanced Coronary Atherosclerosis Analysis (CAA), which distinctively relies on the analysis of vessel cross-section…

Image and Video Processing · Electrical Eng. & Systems 2025-01-15 Ziheng Zhang , Zihan Li , Dandan Shan , Yuehui Qiu , Qingqi Hong , Qingqiang Wu

Detection of non-calcified plaques in the coronary tree is a challenging problem due to the nature of comprising substances. Hard plaques are easily discernible in CTA data cloud due to apparent bright behaviour, therefore many approaches…

Computer Vision and Pattern Recognition · Computer Science 2016-08-02 Muhammad Moazzam Jawaid

Current clinical practice guidelines for managing Coronary Artery Disease (CAD) account for general cardiovascular risk factors. However, they do not present a framework that considers personalized patient-specific characteristics. Using…

Machine Learning · Statistics 2019-10-21 Dimitris Bertsimas , Agni Orfanoudaki , Rory B. Weiner

The quantification of fat depots on the surroundings of the heart is an accurate procedure for evaluating health risk factors correlated with several diseases. However, this type of evaluation is not widely employed in clinical practice due…

Image and Video Processing · Electrical Eng. & Systems 2022-08-31 Érick Oliveira Rodrigues , Felipe Fernandes Cordeiro de Morais , Aura Conci

Background: Computational fluid dynamics (CFD) is increasingly used to assess blood flow conditions in patients with congenital heart disease (CHD). This requires patient-specific anatomy, usually obtained from segmented 3D cardiovascular…

Coronary artery calcium (CAC) is highly predictive of cardiovascular events. While millions of chest CT scans are performed annually in the United States, CAC is not routinely quantified from scans done for non-cardiac purposes. A deep…

In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of mortality globally. CVDs appear with minor symptoms and progressively get worse. The majority of people experience symptoms such as exhaustion,…

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