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

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...

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