Method for removing truncation artifacts in magnetic resonance images based on missing data reconstruction
A magnetic resonance image, missing data technology, applied in the field of image processing, can solve the problem of undiscovered magnetic resonance image truncation artifact elimination method, etc.
Inactive Publication Date: 2011-06-08
SHANGHAI JIAOTONG UNIV
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[0005] After searching the existing literature, it is found that there is no public report on the MRI image truncation artifact removal method based on missing data reconstruction of high-frequency K data
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[0050] This embodiment includes the following steps:
[0051] The first step is to detect the MRI images containing truncation artifacts to obtain low-frequency K data.
[0052] Described detection comprises the following steps:
[0053] (1) Perform Fourier transform on the magnetic resonance image containing truncation artifacts to obtain two-dimensional K data, namely:
[0054]
[0055] in: is an MR image of size N×N with truncation artifacts, is two-dimensional K data, k x Phase encoding for MRI scans, k y coded for frequency, is a two-dimensional Fourier transform operator;
[0056] (2) at k x The point where the direction changes suddenly is the cut-off frequency c, 0c (k x , k y ),which is:
[0057]
[0058] (3) The two-dimensional K data and the matrix function R of the cutoff frequency c (k x , k y ) are multiplied to obtain low-frequency K data.
[0059] The second step is to perform frequency encoding k on the low-frequency K data y The in...
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A method for removing truncation artifacts in magnetic resonance images based on missing data reconstruction belongs to the technical field of image processing and comprises the following steps: detecting the magnetic resonance images with the truncation artifacts to obtain low frequency K data; carrying out Fourier inversion on the low frequency K data in the frequency encoding direction to obtain a truncated spectrum G (kx, y) of one-dimensional Fourier transform in the phase encoding direction; extracting singularities and singular value in the images of each row of data of G (kx, y) and reconstructing each row of data to obtain the high frequency partial K data; and carrying out Fourier inversion on the high frequency partial K data Fy(k) to obtain the row information fy(x) of the magnetic resonance images with the artifacts removed and storing and combining fy(x) based on rows to form the magnetic resonance images g(x, y) with the artifacts removed. The method overcomes the artifact problem existing during imaging by zero padding, ensures high signal to noise ratio of the images, effectively reduces the image errors, precisely displays the original magnetic resonance images, provides high quality reliable image information for medical nuclear magnetic resonance detection and is conductive to development and popularization of medical imaging detection technology.
Description
technical field [0001] The present invention relates to a method in the technical field of image processing, in particular to a method for eliminating magnetic resonance image truncation artifacts based on missing data reconstruction. Background technique [0002] With the continuous development of modern medical technology, Magnetic Resonance Imaging (MRI) technology has become an indispensable means in the field of medical imaging detection. The magnetic resonance signal space (original data space) is called K space, which is the Fourier transform space. The K space sampling signal is subjected to inverse Fourier transform and then moduloed to obtain the magnetic resonance image. In the clinical application of magnetic resonance imaging, the low-frequency data that only scans the K space is often used for imaging to save and shorten the scanning time. The clinical method for imaging only with low-frequency K-space data is zero-filling imaging, that is, filling the missing...
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IPC IPC(8): A61B5/055
Inventor 骆建华肖墨砚牛金海朱跃敏
Owner SHANGHAI JIAOTONG UNIV