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Main Authors: Hu, Daosong, Wang, Ruomeng, Zhao, Liang, Cui, Mingyue, Ding, Song, Huang, Kai
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2409.01725
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author Hu, Daosong
Wang, Ruomeng
Zhao, Liang
Cui, Mingyue
Ding, Song
Huang, Kai
author_facet Hu, Daosong
Wang, Ruomeng
Zhao, Liang
Cui, Mingyue
Ding, Song
Huang, Kai
contents The three-dimensional vascular model reconstructed from CT images is widely used in medical diagnosis. At different phases, the beating of the heart can cause deformation of vessels, resulting in different vascular imaging states and false positive diagnostic results. The 4D model can simulate a complete cardiac cycle. Due to the dose limitation of contrast agent injection in patients, it is valuable to synthesize a 4D coronary artery trees through finite phases imaging. In this paper, we propose a method for generating a 4D coronary artery trees, which maps the systole to the diastole through deformation field prediction, interpolates on the timeline, and the motion trajectory of points are obtained. Specifically, the centerline is used to represent vessels and to infer deformation fields using cube-based sorting and neural networks. Adjacent vessel points are aggregated and interpolated based on the deformation field of the centerline point to obtain displacement vectors of different phases. Finally, the proposed method is validated through experiments to achieve the registration of non-rigid vascular points and the generation of 4D coronary trees.
format Preprint
id arxiv_https___arxiv_org_abs_2409_01725
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle 4D-CAT: Synthesis of 4D Coronary Artery Trees from Systole and Diastole
Hu, Daosong
Wang, Ruomeng
Zhao, Liang
Cui, Mingyue
Ding, Song
Huang, Kai
Computer Vision and Pattern Recognition
The three-dimensional vascular model reconstructed from CT images is widely used in medical diagnosis. At different phases, the beating of the heart can cause deformation of vessels, resulting in different vascular imaging states and false positive diagnostic results. The 4D model can simulate a complete cardiac cycle. Due to the dose limitation of contrast agent injection in patients, it is valuable to synthesize a 4D coronary artery trees through finite phases imaging. In this paper, we propose a method for generating a 4D coronary artery trees, which maps the systole to the diastole through deformation field prediction, interpolates on the timeline, and the motion trajectory of points are obtained. Specifically, the centerline is used to represent vessels and to infer deformation fields using cube-based sorting and neural networks. Adjacent vessel points are aggregated and interpolated based on the deformation field of the centerline point to obtain displacement vectors of different phases. Finally, the proposed method is validated through experiments to achieve the registration of non-rigid vascular points and the generation of 4D coronary trees.
title 4D-CAT: Synthesis of 4D Coronary Artery Trees from Systole and Diastole
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2409.01725