Validation of deep-learning accelerated quantitative susceptibility mapping for deep brain nuclei

Validation of deep-learning accelerated quantitative susceptibility mapping for deep brain nuclei

PurposeTo test the feasibility and consistency of a deep-learning (DL) accelerated QSM method for deep brain nuclei evaluation.MethodsParticipants were scanned with both parallel imaging (PI)-QSM and DL-QSM methods. The PI- and DL-QSM scans had identical imaging parameters other than acceleration fa...

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Bibliographic Details
Main Authors: Ying Zhou, Lingyun Liu, Shan Xu, Yongquan Ye, Ruiting Zhang, Minming Zhang, Jianzhong Sun, Peiyu Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Neuroscience
Subjects:
quantitative susceptibility mapping
acceleration
brain nuclei
deep learning
parallel imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2025.1522227/full
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