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Dataset Information

Conditional diffusion-generated super-resolution for myocardial perfusion MRI.


ABSTRACT:

Introduction

Myocardial 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 detecting abnormalities across different slice locations but remains difficult due to constraints in acquisition speed and heart rate variability. While techniques like parallel imaging and compressed sensing have significantly advanced perfusion imaging, they still suffer from noise amplification, residual artifacts, and potential temporal blurring due to the rapid transit of dynamic contrast vs. the temporal constraints of the reconstruction.

Methods

This study introduces a co

SUBMITTER: Sun C 

PROVIDER: S-EPMC11802533 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature