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An autologous joint fluid source mesenchymal stem cell repair cartilage injury image segmentation method based on multi-modal magnetic resonance

A technology of mesenchymal stem cells and cartilage damage, applied in the field of image processing, can solve problems such as over-segmentation, under-segmentation, and unsatisfactory segmentation results, and achieve the effect of improving classification and screening accuracy and image processing speed

Pending Publication Date: 2019-05-10
THE SECOND PEOPLES HOSPITAL OF SHENZHEN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these algorithm studies also have some limitations: first, the algorithm needs to initialize the contour and the requirements are very high, and the cartilage of different shapes in each sequence image needs to roughly represent the target contour, otherwise it will lead to premature convergence and unsatisfactory segmentation results
[0004] 1. Due to the complexity of the texture and shape of the knee joint image, it is interfered by many non-cartilage edges, and there are many false edges in the edges detected by the traditional edge detection method
[0005] 2. The traditional region growing method compares with similar pixel values ​​in the field according to the similarity criterion. If the threshold value is set at the same value, due to the differences in gray levels between different sequences of images of different people, it will lead to over-segmentation or undersegmentation

Method used

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Experimental program
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Effect test

Embodiment 1

[0022] The present invention provides a technical solution: an image segmentation method for repairing cartilage damage with mesenchymal stem cells derived from autologous synovial fluid based on multimodal magnetic resonance. The method includes the following steps:

[0023] S1: Acquisition of images of cartilage damage: Acquire MRI images of cartilage in the mesenchymal stem cell area through multimodal nuclear magnetic resonance and convert the images into grayscale;

[0024] S2: Image visualization processing: convert the MRI image of cartilage in the mesenchymal stem cell area into a grayscale image and perform Gaussian filtering;

[0025] S3: Image edge detection: Use the adaptive Canny edge detection algorithm to detect the image in S2, and detect 10 edge lines;

[0026] S4: feature parameter extraction: build an SVM classifier and perform edge positioning on the feature parameters of the image extracted in step S3, and classify cartilage edges and non-cartilage edges; ...

Embodiment 2

[0033] The present invention provides a technical solution: an image segmentation method for repairing cartilage damage with mesenchymal stem cells derived from autologous synovial fluid based on multimodal magnetic resonance. The method includes the following steps:

[0034] S1: Acquisition of images of cartilage damage: Acquire MRI images of cartilage in the mesenchymal stem cell area through multimodal nuclear magnetic resonance and convert the images into grayscale;

[0035] S2: Image visualization processing: convert the MRI image of cartilage in the mesenchymal stem cell area into a grayscale image and perform Gaussian filtering;

[0036] S3: Image edge detection: Use the adaptive Canny edge detection algorithm to detect the image in S2, and detect 12 edge lines;

[0037] S4: feature parameter extraction: build an SVM classifier and perform edge positioning on the feature parameters of the image extracted in step S3, and classify cartilage edges and non-cartilage edges; ...

Embodiment 3

[0044] The present invention provides a technical solution: an image segmentation method for repairing cartilage damage with mesenchymal stem cells derived from autologous synovial fluid based on multimodal magnetic resonance. The method includes the following steps:

[0045] S1: Acquisition of images of cartilage damage: Acquire MRI images of cartilage in the mesenchymal stem cell area through multimodal nuclear magnetic resonance and convert the images into grayscale;

[0046] S2: Image visualization processing: convert the MRI image of cartilage in the mesenchymal stem cell area into a grayscale image and perform Gaussian filtering;

[0047] S3: Image edge detection: use the adaptive Canny edge detection algorithm to detect the image in S2, and detect 14 edge lines;

[0048] S4: feature parameter extraction: build an SVM classifier and perform edge positioning on the feature parameters of the image extracted in step S3, and classify cartilage edges and non-cartilage edges;

...

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Abstract

The invention discloses an autologous joint fluid source mesenchymal stem cell repair cartilage injury image segmentation method based on multi-modal magnetic resonance. The method comprises the following steps of S1, collecting a cartilage injury image, S2, carrying out image visualization processing, S3, carrying out image edge detection, S4, extracting characteristic parameters, S5, extractingseed points, S6, selecting non-seed points, S7, updating the regional gray average value and the pixel standard deviation K of all the seed points in a growth region, and S8, finishing image acquisition. According to the method, 15-20 characteristic parameters are extracted from each edge; wherein the information features comprise edge local information features, edge geometric information features and information features between edge adjacent voxels, the features of different edge lines can be fully embodied, the classification screening precision is improved, and the method realizes intelligent selected image segmentation through self-adaptive seed point extraction and algorithm screening, and improves the image processing speed.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image segmentation method for repairing cartilage damage with mesenchymal stem cells derived from autologous synovial fluid based on multimodal magnetic resonance. Background technique [0002] Mesenchymal stem cells are a kind of multipotent stem cells, which have all the common characteristics of stem cells, that is, self-renewal and multidirectional differentiation capabilities. At present, it is also the most clinically used, and combined with hematopoietic stem cells can improve the success rate of transplantation and accelerate hematopoietic reconstruction. After the patient receives high-dose chemotherapy, the infusion of mesenchymal stem cells and hematopoietic stem cells can significantly accelerate the recovery time of the patient's blood cells, and it is safe and has no adverse reactions. Mesenchymal stem cells exist not only in bone marrow, but also in sk...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/136
Inventor 段莉王大平徐晓李兴福熊建义欧阳侃黄江鸿邓志钦蒯声政
Owner THE SECOND PEOPLES HOSPITAL OF SHENZHEN
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