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Thoracic aortic aneurysm (TAA) is a fatal disease which potentially leads to dissection or rupture through progressive enlargement of the aorta. It is usually asymptomatic and screening recommendation are limited. The gold-standard…

In this paper we present an efficient algorithm for the segmentation of the inner and outer boundary of thoratic and abdominal aortic aneurysms (TAA & AAA) in computed tomography angiography (CTA) acquisitions. The aneurysm segmentation…

Computer Vision and Pattern Recognition · Computer Science 2016-02-10 Jing Lu , Jan Egger , Andreas Wimmer , Stefan Großkopf , Bernd Freisleben

Atrial fibrillation (AF) is a common arrhythmia and major risk factor for cardiovascular complications. While commercially available devices and supporting Artificial Intelligence (AI) algorithms exist for reliable detection of AF, the…

Hardware Architecture · Computer Science 2025-08-20 Dominik Loroch , Johannes Feldmann , Vladimir Rybalkin , Norbert Wehn

Background: Invasive coronary arteriography (ICA) is recognized as the gold standard for diagnosing cardiovascular diseases, including unstable angina (UA). The challenge lies in determining the optimal timing for ICA in UA patients,…

Machine Learning · Computer Science 2024-08-09 Candi Zheng , Kun Liu , Yang Wang , Shiyi Chen , Hongli Li

Atrial fibrillation (AF) is the most common arrhythmia, increasing the risk of stroke, heart failure, and other cardiovascular complications. While AF detection algorithms perform well in identifying persistent AF, early-stage progression,…

Machine Learning · Computer Science 2025-08-28 Yongbin Lee , Ki H. Chon

With coronary artery disease (CAD) persisting to be one of the leading causes of death worldwide, interest in supporting physicians with algorithms to speed up and improve diagnosis is high. In clinical practice, the severeness of CAD is…

Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia worldwide, with 2% of the population affected. It is associated with an increased risk of strokes, heart failure and other heart-related complications. Monitoring at-risk…

Machine Learning · Computer Science 2021-11-24 Sideshwar J B , Sachin Krishan T , Vishal Nagarajan , Shanthakumar S , Vineeth Vijayaraghavan

Active arterial mechanics, governed by vascular smooth muscle contraction, are critical to physiological regulation, cardiovascular disease progression, and clinical diagnosis. Although various in vivo methods have been developed to assess…

Medical Physics · Physics 2026-01-21 Yuxuan Jiang , Yanping Cao

In CT angiography, the accurate segmentation of abdominal aortic aneurysms (AAAs) is difficult due to large anatomical variability, low-contrast vessel boundaries, and the close proximity of organs whose intensities resemble vascular…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Osamah Sufyan , Martin Brückmann , Ralph Wickenhöfer , Babette Dellen , Uwe Jaekel

The basic mechanism driving aneurysm growth is unknown. Currently, clinical diagnosis of an aneurysm is mainly informed by retrospective tracking of its size and growth rate. However, aneurysms can rupture before reactive criteria are met…

Atrial fibrillation (AF) is a prevalent cardiac arrhythmia often treated with catheter ablation procedures, but procedural outcomes are highly variable. Evaluating and improving ablation efficacy is challenging due to the complex…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Yunsung Chung , Chanho Lim , Ghassan Bidaoui , Christian Massad , Nassir Marrouche , Jihun Hamm

Coronary Computed Tomography Angiography (CCTA) evaluation of chest-pain patients in an Emergency Department (ED) is considered appropriate. While a negative CCTA interpretation supports direct patient discharge from an ED, labor-intensive…

Predicting rupture risk and deciding on optimal treatment plan for intracranial aneurysms (IAs) is possible by quantification of their size and shape. For this purpose the IA has to be isolated from 3D angiogram. State-of-the-art methods…

Image and Video Processing · Electrical Eng. & Systems 2020-06-01 Žiga Bizjak , Boštjan Likar , Franjo Pernuš , Žiga Špiclin

The diagnostic accuracy and subjectivity of existing Knee Osteoarthritis (OA) ordinal grading systems has been a subject of on-going debate and concern. Existing automated solutions are trained to emulate these imperfect systems, whilst…

Machine Learning · Computer Science 2025-05-30 Niamh Belton , Aonghus Lawlor , Kathleen M. Curran

The wall shear stress is a quantity of profound importance for clinical diagnosis of artery diseases. The lattice Boltzmann is an easily parallelizable numerical method of solving the flow problems, but it suffers from errors of the…

Computational Physics · Physics 2013-05-17 Maciej Matyka , Zbigniew Koza , Łukasz Mirosław

Detection of atrial fibrillation (AF), a type of cardiac arrhythmia, is difficult since many cases of AF are usually clinically silent and undiagnosed. In particular paroxysmal AF is a form of AF that occurs occasionally, and has a higher…

Neurons and Cognition · Quantitative Biology 2018-05-24 Supreeth P. Shashikumar , Amit J. Shah , Gari D. Clifford , Shamim Nemati

Objective: ascending aortic aneurysm growth prediction is still challenging in clinics. In this study, we evaluate and compare the ability of local and global shape features to predict ascending aortic aneurysm growth. Material and methods:…

Coronary angioplasty with stent implantation is the most frequently used interventional treatment for coronary artery disease. However, reocclusion within the stent, referred to as in-stent restenosis, occurs in up to 10% of lesions. It is…

Computational Engineering, Finance, and Science · Computer Science 2025-02-19 Janina C. Datz , Ivo Steinbrecher , Christoph Meier , Nora Hagmeyer , Leif-Christopher Engel , Alexander Popp , Martin R. Pfaller , Heribert Schunkert , Wolfgang A. Wall

Computed tomography image segmentation of complex abdominal aortic aneurysms (AAA) often fails because the models assign internal focus to irrelevant structures or do not focus on thin, low-contrast targets. Where the model looks is the…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Abu Noman Md Sakib , Merjulah Roby , Zijie Zhang , Satish Muluk , Mark K. Eskandari , Ender A. Finol

Objective: we propose a procedure for calibrating 4 parameters governing the mechanical boundary conditions (BCs) of a thoracic aorta (TA) model derived from one patient with ascending aortic aneurysm. The BCs reproduce the visco-elastic…