Human body part segmentation method and system based on SPECT imaging

Abstract

The invention relates to a human body part segmentation method and system based on SPECT imaging, based on a bone imaging data matrix, a human body region is extracted from a bone imaging image to obtain effective information of the bone imaging data matrix, the calculation amount is reduced, and the segmentation precision is improved. Then the human body area is divided into a head area, a chest area, a pelvic bone area and a leg area based on the data matrix corresponding to the human body area and human morphological characteristics, then the chest area is divided into a trunk area, a left upper limb and a right upper limb based on the data matrix corresponding to the chest area, and finally based on the data matrix corresponding to the leg area, the leg area is divided into the left lower limb and the right lower limb, so that the human body is divided into the head, the trunk, the four limbs, the pelvis and other parts, accurate segmentation of the human body parts is achieved, and accurate segmentation of the head, the trunk, the four limbs, the pelvis and other parts can be effectively conducted on any SPCET bone imaging image.

Description

technical field [0001] The invention relates to the technical field of medical imaging, in particular to a method and system for segmenting human body parts based on SPECT imaging. Background technique [0002] Medical imaging is an important technical means for the diagnosis and treatment of modern clinical diseases. It can capture and present the internal structure and functional status of the body in a non-invasive way. As a general term, medical imaging usually includes two relatively independent components: medical imaging and medical image processing. [0003] In the field of medical imaging, nuclear medicine imaging is regarded as an effective medical method for diagnosis, treatment, evaluation and prevention of various serious diseases. Since the British physicist Roentgen discovered X-rays in 1895, medical imaging has developed from traditional structural imaging modalities such as computerized tomography (CT), magnetic resonance imaging (Magnetic Resonance Imaging...

AI Technical Summary

Problems solved by technology

The principle of SPECT imaging limits the processing and analysis of traditional methods based on classification and segmentation in whole-body bone scan imaging. In SPECT imaging, the difference between the radiation value of human bones and the background value is small, which makes it very easy for bone and background to occur during imaging. The adhesion phenomenon, and the existence of external radiation pollution, which makes the image of human bones unclear in SPECT imaging, the signal-to-noise ratio of bones and background is low, the boundary between bones and soft tissues is not obvious, SPECT between different patients of different ages Imaging variability and patient morphology on SPECT scans make SPECT imaging analysis difficult based on computer-aided diagnostic techniques

At present, no method has been found that can effectively segment the head, trunk, limbs, pelvis, etc. for each SPCET whole-body bone imaging data matrix

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