A subject-specific unsupervised deep learning method for quantitative susceptibility mapping using implicit neural representation

• Published in: Medical image analysis Vol. 95; p. 103173
• Main Authors: Zhang, Ming, Feng, Ruimin, Li, Zhenghao, Feng, Jie, Wu, Qing, Zhang, Zhiyong, Ma, Chengxin, Wu, Jinsong, Yan, Fuhua, Liu, Chunlei, Zhang, Yuyao, Wei, Hongjiang
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.07.2024
• Subjects: Implicit neural representation; Phase compensation; Quantitative susceptibility mapping; Unsupervised learning; Quantitative susceptibility mapping; Implicit neural representation; Unsupervised learning; Phase compensation

•Subject-specific and unsupervised deep learning for QSM reconstruction.•Integration of implicit continuous signal representation and explicit regularizations.•Phase compensation strategy for an accurate physical model.•Improved accuracy and quality compared with established methods. Quantitative su...