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Adaptive convolution kernel-based magnetic resonance phase diagram background field removing method

A background field, self-adaptive technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as lack of brain tissue integrity, unfavorable clinical application of QSM technology, and inability to obtain brain diagnostic information, so as to preserve structural integrity , Prevent the loss of edge information and suppress the effects of artifacts

Inactive Publication Date: 2017-09-08
XIAMEN UNIV
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Problems solved by technology

However, the junction of the tissue structure often contains important medical information, and the lack of integrity of the brain tissue due to the limitations of the algorithm will prevent us from obtaining complete brain diagnostic information, which is not conducive to the clinical application of QSM technology
Therefore, when removing the background field of brain tissue in areas with strong magnetic susceptibility changes, the existing methods still have deficiencies and need to be further improved

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  • Adaptive convolution kernel-based magnetic resonance phase diagram background field removing method
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  • Adaptive convolution kernel-based magnetic resonance phase diagram background field removing method

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Embodiment Construction

[0029] The present invention will be further described below through specific embodiments.

[0030] A background field removal method for magnetic resonance phase images based on an adaptive convolution kernel, using the level set function to create an energy functional of the unwrapped phase image, whose model is

[0031]

[0032] The main driving energy for the evolution of the level set function Ψ is the integral of the local energy items of each point in the phase map in the image domain. The local energy items represent the local gray value and the corresponding gray fitting function f 1 (x) and f2 (x) approximation. alpha i is the weight coefficient, y is the coordinate of any point in the local image domain centered at x, I(y) represents the gray value of point y, the scale of the local image domain is s, and is determined by the two-dimensional Gaussian kernel function K s definition. In order to improve the evolution speed and stability of the level set, the arc...

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Abstract

An adaptive convolution kernel-based magnetic resonance phase diagram background field removing method comprises the steps of utilizing a level set function to create the energy functional of an unwrapping phase diagram; according to the solved phase level set energy, extracting the saliency of the magnetic susceptibility regional change, and creating an adaptive Gauss convolution kernel one voxel by one voxel; and adopting the adaptive Gauss convolution kernel to remove a background field. The method of the present invention can effectively solve a non-uniform field distribution problem caused by the strong magnetic susceptibility change at an air-tissue interface, guarantees the integrity of the human tissues while accurately removing the background field, and provides the high-quality phase information and local field patterns for the research and application and the clinical diagnosis.

Description

technical field [0001] The invention relates, in particular, to a background field removal method of a magnetic resonance phase image based on an adaptive convolution kernel. Background technique [0002] Magnetic susceptibility is defined as the magnetic sensitivity response of a substance after it is placed in an external magnetic field, and is an inherent property of a substance. In Magnetic Resonance Imaging (MRI), each substance can be magnetized to a certain degree after being placed in a magnetic field, and the magnetization is proportional to the magnitude of the magnetic field and the magnetic susceptibility of the tissue. If a sufficiently long TE is applied, a significant phase difference will be formed between protons with different spin frequencies, so that tissues with different magnetic sensitivities can be distinguished on the phase map. Quantitative Susceptibility Mapping (QSM) uses the phase information of gradient echo data to generate a map of the magnet...

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Application Information

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IPC IPC(8): G06T7/194
Inventor 包立君方金生陈忠
Owner XIAMEN UNIV