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Non-subsample Contourlet domain type MRI (Magnetic Resonance Imaging) image enhancing method based on FCM (Fuzzy C-means) cluster

A non-subsampling, image enhancement technology, applied in image enhancement, image data processing, instruments, etc.

Inactive Publication Date: 2015-07-01
BEIFANG UNIV OF NATITIES
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, it is necessary to study a new MRI image enhancement method, and it is expected that it can effectively use the good ability of non-subsampled Contourlet transform to describe the detail information, and can overcome the dependence of the existing transform domain-based image enhancement methods on threshold selection.

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  • Non-subsample Contourlet domain type MRI (Magnetic Resonance Imaging) image enhancing method based on FCM (Fuzzy C-means) cluster
  • Non-subsample Contourlet domain type MRI (Magnetic Resonance Imaging) image enhancing method based on FCM (Fuzzy C-means) cluster
  • Non-subsample Contourlet domain type MRI (Magnetic Resonance Imaging) image enhancing method based on FCM (Fuzzy C-means) cluster

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Embodiment 1

[0047] refer to figure 1 , the concrete steps of the present invention are as follows:

[0048] Step 1, input the MRI image I(m, n), and perform L-layer non-subsampling Contourlet transformation on it.

[0049] The non-subsampled Contourlet transform consists of a non-subsampled tower filter and a non-subsampled directional filter. A layer of non-subsampling Contourlet transformation is performed on the MRI image I(m, n), and the process is:

[0050] 1) Input the MRI image I(m, n) of size M×N, 1≤m≤M, 1≤n≤N, where M and N are both natural numbers greater than 1, into a non-downsampled tower filter bank , obtain the low-frequency signal and the band-pass signal of the non-subsampling Contourlet transform of one layer of MRI image I (m, n);

[0051] 2) input the band-pass signal of the MRI image I (m, n) into a non-downsampling direction filter bank to obtain the high-frequency direction subband coefficients of one layer of the MRI image I (m, n) non-downsampling Contourlet tr...

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Abstract

The invention relates to a method for enhancing an MRI (Magnetic Resonance Imaging) image through an FCM (Fuzzy C-means) cluster under a non-subsample Contourlet domain, in particular relates to a non-subsample Contourlet domain type MRI image enhancing method based on the FCM cluster. Compared with the prior art, the method provided by the invention has the following advantages: 1, the non-subsample Contourlet transform is carried out, so that the edge, the profile information and the texture detailed information in the MRI image can be effectively captured; and 2, the FCM cluster method is introduced, so that the high-frequency directional sub-band coefficient is divided into noise coefficient, weak edge coefficient and high edge coefficient in a self-adapting way, and the problem that the conventional image enhancing method based on transform domain is carried out according to the threshold selection can be overcome.

Description

technical field [0001] The method of the present invention relates to a method for enhancing Magnetic Resonance Imaging, that is, MRI images, using fuzzy C-means Fuzzy C-Means and FCM clustering on the non-subsampled Contourlet domain, especially a method based on FCM clustering Non-subsampled contourlet domain MRI image enhancement method. Background technique [0002] MRI (Magnetic Resonance Imaging) is a non-invasive medical imaging that can reconstruct the internal structure of the human body and has been widely used in medical diagnosis. The detailed and clear MRI images can help doctors to better diagnose the main organs, veins, soft tissues and lesions of the human body. Due to the particularity of the imaging mechanism, MRI images have a large contrast between light and dark, accompanied by noise, and weak details are easily covered up, thus affecting the doctor's diagnosis. It is necessary to enhance the MRI image and highlight the details to facilitate diagnosis....

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50
Inventor 常霞高岳林黄永东纪峰
Owner BEIFANG UNIV OF NATITIES