BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources

BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources

Introduction: Background field removal (BFR) is a critical step required for successful quantitative susceptibility mapping (QSM). However, eliminating the background field in brains containing significant susceptibility sources, such as intracranial hemorrhages, is challenging due to the relatively...

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Bibliographic Details
Main Authors: Xuanyu Zhu, Yang Gao, Feng Liu, Stuart Crozier, Hongfu Sun
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Zeitschrift für Medizinische Physik
Subjects:
Background field removal
Hemorrhage susceptibility mapping
Deep learning
Intracranial hemorrhage
Online Access:http://www.sciencedirect.com/science/article/pii/S0939388922000873

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http://www.sciencedirect.com/science/article/pii/S0939388922000873

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