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	Constrained Dipole Inversion for Quantitative Susceptibility Mapping Using a "Kernel+Sparse" Model
	Xi Peng; Yudu Li; Fan Lam; Rong Guo; Bryan Clifford; Zhi-Pei Liang
	2018
会议日期	2018年
会议地点	巴黎
英文摘要	In quantitative susceptibility mapping (QSM), constrained dipole inversion is often necessary to overcome the ill-posedness of the underlying dipole deconvolution problem. Existing methods achieve this by the use of spatial regularization. In this work, we propose a novel "kernel+sparse" model for constrained dipole inversion. In this model, the kernel term absorbs the prior information by representing the susceptibility as a function of prior features while the sparse term accounts for the localized novel features. The proposed method has been evaluated using both simulated and in vivo data, producing impressive results. This method may prove to be useful for many QSM studies.
URL标识	查看原文
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14567]
专题	深圳先进技术研究院_医工所
推荐引用方式 GB/T 7714	Xi Peng,Yudu Li,Fan Lam,et al. Constrained Dipole Inversion for Quantitative Susceptibility Mapping Using a "Kernel+Sparse" Model[C]. 见:. 巴黎. 2018年.

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