Conditional diffusion-generated super-resolution for myocardial perfusion MRI

Conditional diffusion-generated super-resolution for myocardial perfusion MRI

IntroductionMyocardial perfusion MRI is important for diagnosing coronary artery disease, but current clinical methods face challenges in balancing spatial resolution, temporal resolution, and slice coverage. Achieving broader slice coverage and higher temporal resolution is essential for accurately...

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Bibliographic Details
Main Authors: Changyu Sun, Neha Goyal, Yu Wang, Darla L. Tharp, Senthil Kumar, Talissa A. Altes
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
super-resolution
myocardial perfusion MRI
deep learning
diffusion probabilistic models (DDPM)
conditional generative model
dynamic contrast-enhanced MRI (DCE MRI)
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2025.1499593/full
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https://www.frontiersin.org/articles/10.3389/fcvm.2025.1499593/full

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