基于梯度回波 MRI 数据对定量磁化率映射（QSM）进行亚体素抗磁性和顺磁性分量分解。

Decompose quantitative susceptibility mapping (QSM) to sub-voxel diamagnetic and paramagnetic components based on gradient-echo MRI data.

机构信息

Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.

Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA; Vector Lab for Intelligent Medical Imaging and Neural Engineering, International Innovation Center of Tsinghua University, Shanghai, China.

出版信息

Neuroimage. 2021 Nov 15;242:118477. doi: 10.1016/j.neuroimage.2021.118477. Epub 2021 Aug 14.

DOI:10.1016/j.neuroimage.2021.118477

PMID:34403742

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8720043/

Abstract

PURPOSE

A method named DECOMPOSE-QSM is developed to decompose bulk susceptibility measured with QSM into sub-voxel paramagnetic and diamagnetic components based on a three-pool complex signal model.

METHODS

Multi-echo gradient echo signal is modeled as a summation of three weighted exponentials corresponding to three types of susceptibility sources: reference susceptibility, diamagnetic and paramagnetic susceptibility relative to the reference. Paramagnetic component susceptibility (PCS) and diamagnetic component susceptibility (DCS) maps are constructed to represent the sub-voxel compartments by solving for linear and nonlinear parameters in the model.

RESULTS

Numerical forward simulation and phantom validation confirmed the ability of DECOMPOSE-QSM to separate the mixture of paramagnetic and diamagnetic components. The PCS obtained from temperature-variant brainstem imaging follows the Curie's Law, which further validated the model and the solver. Initial in vivo investigation of human brain images showed the ability to extract sub-voxel PCS and DCS sources that produce visually enhanced contrast between brain structures comparing to threshold QSM.

摘要