Composite reconstruction method for self-adaptation quantitative magnetisability distribution diagram based on structural feature

Abstract

The invention provides a composite reconstruction method for a self-adaptation quantitative magnetisability distribution diagram based on the structural feature, and relates to quantitative magnetisability imaging. According to the priori magnetisability distribution diagram base reconstruction based on the amplitude image structural feature, a reconstruction model comprises a fidelity item with a compression perception characteristic and an amplitude priori regularization bound item with a sparse feature, a region of interest is added to extract a binary weighting matrix from an amplitude image, and binary weighting is conducted on original magnetisability distribution; according to magnetisability distribution diagram composite reconstruction based on the magnetisability distribution structural feature, the reconstruction model comprises a least square fidelity item, a structural feature regularization bound item, acquired by base reconstruction, of a magnetisability distribution diagram structure, and a smooth item used for improving a reconstruction magnetisability distribution effect, the magnetisability structural feature is defined as the ladder degree information of 3D image data in three directions in a priori mode; for a l1 norm optimization problem, an iterative threshold value method is used for processing; then, based on the convex function character of a l2 norm, a conjugate gradient method is used for solving.

Description

technical field [0001] The invention relates to quantitative magnetic susceptibility imaging, in particular to a method for composite reconstruction of adaptive quantitative magnetic susceptibility distribution maps based on structural features. Background technique [0002] Quantitative Susceptibility Mapping (QSM) uses the phase information of gradient echo data to generate a map of the magnetic field properties of tissue [1]. The magnetic susceptibility and magnetic field distribution relationship is nonlocal in nature, depending on the spatial distribution of magnetic susceptibility and its orientation relative to the main magnetic field. Magnetic susceptibility information was previously considered as useless image contrast information, which could even lead to signal loss, distortion and imaging artifacts. Early researchers were committed to effectively calculating the disturbance of the main magnetic field caused by the inhomogeneity of the induced magnetic field gen...

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Problems solved by technology

[0005] At present, the domestic research on magnetic susceptibility contrast imaging mainly focuses on SWI, and the research on QSM has yet to be fully developed.

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