Carotid Plaque

Carotid plaque, a buildup of cholesterol and other substances in the carotid arteries, is a major contributor to stroke risk. Current research focuses on improving the accuracy and efficiency of carotid plaque detection and characterization using advanced imaging techniques like ultrasound and MRI, coupled with machine learning models such as convolutional neural networks (CNNs), graph neural networks (GNNs), and multi-task learning architectures. These models are being refined to leverage both image features and anatomical priors for improved segmentation and classification of plaque types, ultimately aiming to enhance diagnostic capabilities and risk stratification. This work holds significant clinical value by enabling more precise and timely interventions to prevent stroke.

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 Physic Informed Graph Carotid Plaque 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

January 25, 2024

WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification
Haitao Gan, Lingchao Fu, Ran Zhou, Weiyan Gan, Furong Wang, Xiaoyan Wu, Zhi Yang, Zhongwei Huang
Classification Code Network Programming Auxiliary Task Carotid Atherosclerosis Plaque Segmentation Carotid Plaque Plaque Classification

July 7, 2023

Intelligent Robotic Sonographer: Mutual Information-based Disentangled Reward Learning from Few Demonstrations
Zhongliang Jiang, Yuan Bi, Mingchuan Zhou, Ying Hu, Michael Burke, Nassir Navab
Long Term Cooperation Robot Localization Robotic Ultrasound Disentangled Learning Ex Vivo Carotid Plaque

July 2, 2023

A region and category confidence-based multi-task network for carotid ultrasound image segmentation and classification
Haitao Gan, Ran Zhou, Yanghan Ou, Furong Wang, Xinyao Cheng, Aaron Fenster
Classification Code Segmentation Task Region Specific Category Shift Carotid Atherosclerosis Carotid Plaque

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

April 18, 2022

Parallel Network with Channel Attention and Post-Processing for Carotid Arteries Vulnerable Plaque Segmentation in Ultrasound Images
Yanchao Yuan, Cancheng Li, Lu Xu, Ke Zhang, Yang Hua, Jicong Zhang
Deep Convolutional Neural Network Channel Attention Ultrasound Image Post Processing Dilated Convolution Plaque Segmentation Parallel Hybrid Network Carotid Plaque Carotid Ultrasound

Carotid Plaque

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

WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification

Intelligent Robotic Sonographer: Mutual Information-based Disentangled Reward Learning from Few Demonstrations

A region and category confidence-based multi-task network for carotid ultrasound image segmentation and classification

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

Parallel Network with Channel Attention and Post-Processing for Carotid Arteries Vulnerable Plaque Segmentation in Ultrasound Images