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
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Examples
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;
...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com