Accelerated phase-contrast magnetic resonance imaging with use of resolution enhancement generative adversarial neural network

Accelerated phase-contrast magnetic resonance imaging with use of resolution enhancement generative adversarial neural network

ABSTRACT: Background: Cardiovascular magnetic resonance (CMR) phase contrast is used to quantify blood flow. We sought to develop a complex-difference reconstruction for inline super-resolution of phase-contrast flow (CRISPFlow) to accelerate phase-contrast imaging. Methods: CRISPFlow was built on...

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Bibliographic Details
Main Authors: Manuel A. Morales, Fahime Ghanbari, Ömer Burak Demirel, Jordan A. Street, Tess E. Wallace, Rachel Davids, Jennifer Rodriguez, Scott Johnson, Patrick Pierce, Warren J. Manning, Reza Nezafat
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Journal of Cardiovascular Magnetic Resonance
Subjects:
Super-resolution
Phase contrast
Flow
Complex difference
Deep learning
Acceleration
Online Access:http://www.sciencedirect.com/science/article/pii/S1097664724011554
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