Carotid Artery

The carotid artery, a major blood vessel supplying the brain, is a key focus in cardiovascular research due to its susceptibility to atherosclerosis. Current research emphasizes accurate and efficient segmentation and hemodynamic flow field estimation within the carotid artery, often employing deep learning architectures like U-Net and novel graph neural networks incorporating physics-based priors to improve model accuracy and reduce data requirements. These advancements, facilitated by imaging modalities such as 3D ultrasound and 4D flow MRI, aim to improve the diagnosis and management of carotid artery diseases, leading to more effective prevention and treatment strategies. The development of automated segmentation and analysis tools holds significant promise for standardizing clinical practice and improving patient outcomes.

Papers

August 13, 2024

Physics-informed graph neural networks for flow field estimation in carotid arteries
Julian Suk, Dieuwertje Alblas, Barbara A. Hutten, Albert Wiegman, Christoph Brune, Pim van Ooij, Jelmer M. Wolterink
Neural Network Flow Field Vascular Model 4 Dimensional Flow Carotid Plaque Physic Informed Graph Carotid Artery

June 27, 2024

GAPNet: Granularity Attention Network with Anatomy-Prior-Constraint for Carotid Artery Segmentation
Lin Zhang, Chenggang Lu, Xin-yang Shi, Caifeng Shan, Jiong Zhang, Da Chen, Laurent D. Cohen
Granularity Attention Biomechanical Constraint Carotid Plaque Carotid Artery

February 3, 2023

Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer
Anjali Balagopal, Michael Dohopolski, Young Suk Kwon, Steven Montalvo, Howard Morgan, Ti Bai, Dan Nguyen, Xiao Liang, Xinran Zhong, Mu-Han Lin, Neil Desai, Steve Jiang
Deep Learning Prostate Cancer Automatic Segmentation Radiation Oncology Carotid Artery Three Dimensional Contour Optimisation

January 8, 2023

Automatic Diagnosis of Carotid Atherosclerosis Using a Portable Freehand 3D Ultrasound Imaging System
Jiawen Li, Yunqian Huang, Sheng Song, Hongbo Chen, Junni Shi, Duo Xu, Haibin Zhang, Man Chen, Rui Zheng
Automatic Diagnosis 3D Ultrasound Carotid Atherosclerosis Carotid Plaque Carotid Artery

May 10, 2022

VesNet-RL: Simulation-based Reinforcement Learning for Real-World US Probe Navigation
Yuan Bi, Zhongliang Jiang, Yuan Gao, Thomas Wendler, Angelos Karlas, Nassir Navab
Reinforcement Learning Deep Reinforcement Learning Reinforcement Learning Agent Robotic Ultrasound Vessel Detection Carotid Artery

January 17, 2022

Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors
Florian Thamm, Felix Denzinger, Leonhard Rist, Celia Martin Vicario, Florian Kordon, Andreas Maier
Deep Learning Segmentation Based Approach U Net Architecture Image Processing Pipeline Carotid Artery Location Prior Wall Segmentation Vessel Wall

Carotid Artery

Papers

Physics-informed graph neural networks for flow field estimation in carotid arteries

GAPNet: Granularity Attention Network with Anatomy-Prior-Constraint for Carotid Artery Segmentation

Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer

Automatic Diagnosis of Carotid Atherosclerosis Using a Portable Freehand 3D Ultrasound Imaging System

VesNet-RL: Simulation-based Reinforcement Learning for Real-World US Probe Navigation

Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors