Shape prior generation and geodesic active contour interactive iterating algorithm (SPACIAL): fully automatic segmentation for 3D lumen in intravascular optical coherence tomography images-Reference-Cited by-同舟云学术

Shape prior generation and geodesic active contour interactive iterating algorithm (SPACIAL): fully automatic segmentation for 3D lumen in intravascular optical coherence tomography images

Published:2021-09-13 Issue:11 Volume:48 Page:7099-7111
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Gui Luying¹,Ma Jun¹,Yang Xiaoping²

Affiliation:

1. School of Science Nanjing University of Science and Technology Nanjing Jiangsu China

2. Department of Mathematics Nanjing University Nanjing Jiangsu China

Funder

National Natural Science Foundation of China

Postdoctoral Science Foundation of Jiangsu Province

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15201

Reference21 articles.

1. Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association

2. Imaging Atherosclerosis

3. Simultaneous imaging of atherosclerotic plaque composition and structure with dual-mode photoacoustic and optical coherence tomography

4. High-robustness intravascular photoacoustic endoscope with a hermetically sealed opto-sono capsule

5. Characterization of Lipid-Rich Aortic Plaques by Intravascular Photoacoustic Tomography

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1. Automated Lumen Segmentation in Carotid Artery Ultrasound Images Based on Adaptive Generated Shape Prior;Bioengineering;2024-08-09

2. Efficient Autonomous Lumen Segmentation in Intravascular Optical Coherence Tomography Images: Unveiling the Potential of Polynomial-Regression Convolutional Neural Network;IRBM;2024-02

3. Automatic lumen and anatomical layers segmentation in IVOCT images using meta learning;Journal of Biophotonics;2023-06-14