Method for improving prostate tumor MRI (Magnetic Resonance Imaging) image identification rate based on CAD (Computer-Aided Diagnosis) system

A prostate tumor and image recognition technology, which is applied in the field of improving the recognition rate of prostate tumor MRI images based on CAD system, can solve the problems of singleness, low reliability of recognition results, and high false positive rate, so as to eliminate influence and reduce redundancy , the effect of improving the recognition rate

Inactive Publication Date: 2015-07-22
NINGXIA MEDICAL UNIV
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Problems solved by technology

From a technical point of view, the CAD method based on medical images is a target recognition technology, but the existing target recognition methods are only divided according to a single sample feature vector, and the high-dimensional pattern characteristics exhibited by a large number of similar samples are not fully considered.
Therefore, the reliability of the recognition results obtained by extracting only a few or more than a dozen dimensional features from the MRI prostate tumor ...

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  • Method for improving prostate tumor MRI (Magnetic Resonance Imaging) image identification rate based on CAD (Computer-Aided Diagnosis) system
  • Method for improving prostate tumor MRI (Magnetic Resonance Imaging) image identification rate based on CAD (Computer-Aided Diagnosis) system
  • Method for improving prostate tumor MRI (Magnetic Resonance Imaging) image identification rate based on CAD (Computer-Aided Diagnosis) system

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Embodiment 1

[0039] The software and hardware environment involved in the present invention are as follows:

[0040] Software environment: windows XP operating system, MATLAB 7.0NN Toolbox, efilm 3.4

[0041] Hardware environment: 2G memory, 320G hard disk, M320-AMD processor

[0042] Input: 1) ROI image X of MRI prostate tumor i , i=1,2,...,180

[0043] 2) The number of sample categories n=2;

[0044] Output: neural network recognition accuracy before and after feature transformation under four training algorithms

[0045] step:

[0046]

[0047]

[0048]

[0049] Specific steps are as follows:

[0050] (1) collecting MRI images of prostate patients;

[0051] The ROI regions in 180 prostate MRI images (including 90 prostate cancer and 90 benign prostatic hyperplasia) with distinguishing value were extracted, figure 1 The ROI area of ​​the MRI image of one case of prostate cancer is given in , figure 2 The ROI area of ​​MRI images of one case of prostatic hyperplasia is g...

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Abstract

The invention belongs to the field of prostate disease medical equipment and particularly relates to a method for improving a prostate tumor MRI (Magnetic Resonance Imaging) image identification rate based on a CAD (Computer-Aided Diagnosis) system. The method comprises the following steps: (1) collecting an MRI image of a prostate patient; (2) extracting MRI prostate tumor ROI region features; (3) carrying out feature-grade fusion on the ROI region features; and (4) identifying the fused features by classification through taking a neural network as a classification device. By virtue of the method, the capabilities of identifying the prostate benign and malignant tumors are at least improved by 10%, and the method has active meanings on the CAD of the MRI prostate tumors.

Description

technical field [0001] The invention belongs to the field of medical devices for prostate diseases, in particular to a method for improving the recognition rate of prostate tumor MRI images based on a CAD system. Background technique [0002] Prostate tumors mainly include prostate cancer and benign prostatic hyperplasia, both of which occur in the prostate. Prostate cancer is a common malignant tumor. Under normal circumstances, benign prostatic hyperplasia will not turn into prostate cancer. Prostate cancer is usually diagnosed clinically by abnormal digital rectal examination (DRE) and elevated serum prostate-specific antigen (PSA). Once prostate cancer is discovered, its treatment mainly depends on tumor histological classification and clinical staging. The TNM staging and Gleason staging of prostate cancer clearly define the extent of the lesion, and the correct staging is very important for determining whether surgery is possible, choosing treatment methods, and judgin...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62
Inventor 周涛陆惠玲杨德仁杨柳陈志强张艳宁
Owner NINGXIA MEDICAL UNIV
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