Method and system for abdominal bone segmentation in medical image

Abstract

The invention belongs to the technical field of medical image analysis, and particularly relates to a method and system for abdominal bone segmentation in a medical image. The method for abdominal bone segmentation in the medical image includes the steps of: a. performing back-up on a CT image; b. selecting an initial seed point, and performing region growing segmentation on the CT image; and c. comparing the CT image after region growing segmentation with the backup image, judging whether a segmentation omission region exists, if a segmentation omission region exists, executing the Step b again, and if no segmentation omission region exists, outputting the segmented image. The method and system for abdominal bone segmentation in the medical image provided by an embodiment of the invention realize complete segmentation of an abdominal bone region with nonuniform gray level distribution in the medical image, can process complete segmentation of a connected region and an unconnected region at the same time, and compared with traditional existing threshold-based segmentation and region growing technology, the method has the advantages of strong robustness and stable segmentation.

Description

technical field [0001] The invention belongs to the technical field of medical image analysis, and in particular relates to a method and system for segmenting abdominal bones in medical images. Background technique [0002] The research of image segmentation in the field of medical image analysis has always been a hot spot, and its application fields are very extensive. In clinical operation planning, simulation and 3D visualization of human body, it is of great significance to realize the complete segmentation of bones in medical imaging. For example, in radiofrequency ablation surgery, the design and implementation of the puncture needle path need to avoid the abdominal bone area, so as to avoid serious collision damage to the human body, so the segmentation and extraction of the abdominal bone is particularly important in the path planning process. [0003] In the segmentation of 3D medical images, since the signal intensity value of the bone area in the CT image is rela...

AI Technical Summary

Problems solved by technology

[0006] 1. The disadvantage of the threshold-based segmentation method is that it is difficult to completely segment the abdominal bones with a single threshold or multiple thresholds, and it is easy to have holes, "over-segmentation" and "under-segmentation";

[0007] 2. The disadvantage of the region-based growth technique is that region growth requires seed points, and the region to be segmented is required to be continuous. For regions with uneven gray distribution or disconnected regions due to imaging reasons, the region-growth method Difficult to obtain complete splits of all

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