A hybrid deep image prior and compressed sensing reconstruction method for highly accelerated 3D coronary magnetic resonance angiography

A hybrid deep image prior and compressed sensing reconstruction method for highly accelerated 3D coronary magnetic resonance angiography

IntroductionHigh-resolution whole-heart coronary magnetic resonance angiography (CMRA) often suffers from unreasonably long scan times, rendering imaging acceleration highly desirable. Traditional reconstruction methods used in CMRA rely on either hand-crafted priors or supervised learning models. A...

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Bibliographic Details
Main Authors: Zhihao Xue, Sicheng Zhu, Fan Yang, Juan Gao, Hao Peng, Chao Zou, Hang Jin, Chenxi Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-09-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
coronary magnetic resonance angiography
deep image prior
compressed sensing
unsupervised learning
image reconstruction
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1408351/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2024.1408351/full

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