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Related papers: Abdominal Aortic Aneurysm Segmentation with a Smal…

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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

An abdominal aortic aneurysm (AAA) is a focal dilation of the aorta that, if not treated, tends to grow and may rupture. A significant unmet need in the assessment of AAA disease, for the diagnosis, prognosis and follow-up, is the…

Computer Vision and Pattern Recognition · Computer Science 2019-03-05 Karen López-Linares , Inmaculada García , Ainhoa García-Familiar , Iván Macía , Miguel A. González Ballester

The current standard of intra-operative navigation during Fenestrated Endovascular Aortic Repair (FEVAR) calls for need of 3D alignments between inserted devices and aortic branches. The navigation commonly via 2D fluoroscopic images, lacks…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Jian-Qing Zheng , Xiao-Yun Zhou , Celia Riga , Guang-Zhong Yang

Abdominal aortic aneurysms (AAA) pose a significant clinical risk due to their potential for rupture, which is often asymptomatic but can be fatal. Although maximum diameter is commonly used for risk assessment, diameter alone is…

Image and Video Processing · Electrical Eng. & Systems 2025-08-28 Utsav Ratna Tuladhar , Richard Simon , Doran Mix , Michael Richards

Computerized Tomography Angiography (CTA) based follow-up of Abdominal Aortic Aneurysms (AAA) treated with Endovascular Aneurysm Repair (EVAR) is essential to evaluate the progress of the patient and detect complications. In this context,…

In robot-assisted Fenestrated Endovascular Aortic Repair (FEVAR), accurate alignment of stent graft fenestrations or scallops with aortic branches is essential for establishing complete blood flow perfusion. Current navigation is largely…

Computer Vision and Pattern Recognition · Computer Science 2020-09-02 Jian-Qing Zheng , Xiao-Yun Zhou , Guang-Zhong Yang

Automatic and accurate segmentation of aortic vessel tree (AVT) in computed tomography (CT) scans is crucial for early detection, diagnosis and prognosis of aortic diseases, such as aneurysms, dissections and stenosis. However, this task…

Image and Video Processing · Electrical Eng. & Systems 2023-05-18 Shaofeng Yuan , Feng Yang

Existing methods to reconstruct vascular structures from a computed tomography (CT) angiogram rely on injection of intravenous contrast to enhance the radio-density within the vessel lumen. However, pathological changes can be present in…

Image and Video Processing · Electrical Eng. & Systems 2020-02-11 Anirudh Chandrashekar , Ashok Handa , Natesh Shivakumar , Pierfrancesco Lapolla , Vicente Grau , Regent Lee

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

Robot-assisted Fenestrated Endovascular Aortic Repair (FEVAR) is currently navigated by 2D fluoroscopy which is insufficiently informative. Previously, a semi-automatic 3D shape instantiation method was developed to instantiate the 3D shape…

Computer Vision and Pattern Recognition · Computer Science 2018-08-01 Xiao-Yun Zhou Celia Riga , Su-Lin Lee , Guang-Zhong Yang

Aortic shape analysis plays a key role in cardiovascular diagnostics, treatment planning, and understanding disease progression. We present a robust, fully automated pipeline for aortic shape analysis from cardiac MRI, combining deep…

Tissues and Organs · Quantitative Biology 2025-09-15 Nairouz Shehata , Amr Elsawy , Mohamed Nagy , Muhammad ElMahdy , Mariam Ali , Soha Romeih , Heba Aguib , Magdi Yacoub , Ben Glocker

Automatic segmentation of organs-at-risk (OAR) in computed tomography (CT) is an essential part of planning effective treatment strategies to combat lung and esophageal cancer. Accurate segmentation of organs surrounding tumours helps…

Computer Vision and Pattern Recognition · Computer Science 2019-05-21 Sulaiman Vesal , Nishant Ravikumar , Andreas Maier

We propose a deep learning-based technique for detection and quantification of abdominal aortic aneurysms (AAAs). The condition, which leads to more than 10,000 deaths per year in the United States, is asymptomatic, often detected…

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

Radiological imaging offers effective measurement of anatomy, which is useful in disease diagnosis and assessment. Previous study has shown that the left atrial wall remodeling can provide information to predict treatment outcome in atrial…

Computer Vision and Pattern Recognition · Computer Science 2018-12-07 Shuman Jia , Antoine Despinasse , Zihao Wang , Hervé Delingette , Xavier Pennec , Pierre Jaïs , Hubert Cochet , Maxime Sermesant

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…

Over half a million individuals are diagnosed with head and neck cancer each year worldwide. Radiotherapy is an important curative treatment for this disease, but it requires manual time consuming delineation of radio-sensitive organs at…

Abdominal aortic aneurysm (AAA) is a vascular disease in which a section of the aorta enlarges, weakening its walls and potentially rupturing the vessel. Abdominal ultrasound has been utilized for diagnostics, but due to its limited image…

Image and Video Processing · Electrical Eng. & Systems 2022-08-12 Yordanka Velikova , Walter Simson , Mehrdad Salehi , Mohammad Farid Azampour , Philipp Paprottka , Nassir Navab

Purpose: Aortic dissections are life-threatening cardiovascular conditions requiring accurate segmentation of true lumen (TL), false lumen (FL), and false lumen thrombosis (FLT) from CTA images for effective management. Manual segmentation…

Image and Video Processing · Electrical Eng. & Systems 2025-06-30 Hao Xu , Ruth Lim , Brian E. Chapman

Background: For the clinical adoption of stress-based rupture risk estimation in abdominal aortic aneurysms (AAAs), a fully automated pipeline, from clinical imaging to biomechanical stress computation, is essential. To this end, we…

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