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Method for correcting geometrical distortion antifact in fMRI based on field map

A geometric distortion and multi-channel technology, applied in the field of graphics, can solve problems such as no correction method, difficulty in accurately registering structural images of functional magnetic resonance images, and wrong positioning of brain activation regions, so as to improve image quality and high signal-to-noise ratio , the correction effect is obvious

Active Publication Date: 2016-12-07
XI AN JIAOTONG UNIV
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Problems solved by technology

Geometric distortion of EPI images makes it difficult to accurately register fMRI images to structural images, which may cause errors in the positioning of brain activation regions
Therefore, before conducting follow-up research, the EPI image must be corrected, and there is no relevant correction method in the prior art

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  • Method for correcting geometrical distortion antifact in fMRI based on field map
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  • Method for correcting geometrical distortion antifact in fMRI based on field map

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Embodiment Construction

[0027] The present invention is described in detail below in conjunction with accompanying drawing.

[0028] The process of the method for correcting geometric distortion artifacts in functional magnetic resonance imaging based on the field map in the present invention is as follows figure 1 shown.

[0029] (1). Firstly, the multi-channel phased array coil image is reconstructed. The multi-channel phased array coil is composed of multiple basic sub-coils, each sub-coil receives the magnetic resonance signals generated by the entire brain area (or other scanning areas), and finally reconstructs the signals received by each coil to obtain a complete brain area image. The data sample was collected on a 34-year-old man on a SIMENSE 4T magnetic resonance imaging machine. The data includes eight-channel dual echo gradient sequence (Dual Echo GR) amplitude image data and EPI data. The EPI data was collected when the subject was doing a number task, the size of the imaging matrix ...

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Abstract

The invention provides a method for correcting a geometrical distortion antifact in an fMRI based on a field map. The method comprises the steps of reconstructing multi-channel phased array coil images (an amplitude image and a phase image), cutting the amplitude image to make a mask layer, carrying out phase unwrapping on the phase image, generating the field map, carrying out denoising of the field map, generating a voxel displacement diagram, and carrying out geometrical distortion correction. In the process of carrying out denoising of the field map, according to different noise sources, a corroded amplitude image is used to make the mask layer to remove edge noise and peak removing, median filtering and gauss smooth methods are used to remove internal noise, through the combination of two methods, the noise of the field map is removed effectively, the filed map is used to correct a function magnetic resonance image, the effect is obvious, the method is simple and efficient, the signal to noise ratio is high, and the image quality can be improved well.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a method for correcting geometric distortion artifacts in fMRI based on a field map, in particular to multi-channel image reconstruction, amplitude map segmentation, phase map dewarping, and fieldmap generation and denoising, voxel displacement map generation and geometric distortion correction to realize the method of geometric distortion correction based on field map for functional nuclear magnetic resonance images. Background technique [0002] fMRI is one of the main non-invasive methods to study brain activity and brain function, with millimeter-level spatial resolution. The proposal and development of the BOLD-fMRI method has made a breakthrough in the study of brain cognitive function, and it has become an important tool for neuroscience to explore the neural mechanism of the human brain. fMRI—generally refers to magnetic resonance imaging based on blood oxygen l...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/30016G06T2207/10088G06T2207/20192G06T5/80G06T5/70
Inventor 林盘窦顺阳王雪丽李承宇
Owner XI AN JIAOTONG UNIV
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