Vertebra segmentation and mass center detection method based on clustering

Abstract

The invention discloses a vertebra segmentation and mass center detection method based on clustering. The vertebra image segmentation and mass center detection has a special application value in the diagnosis of the spinal diseases. A spine consists of a vertebra and an intervertebral disc, wherein the vertebra is used for protecting the tissues in a human body, such as visceral organs and nerve and blood vessels, and the intervertebral disc is used for maintaining the flexibility of the human body. Therefore, the tissue structure around the spline is relatively complex, and the diagnosis is more difficult. Based on the above problems, the invention proposes the vertebra segmentation and mass center detection method based on clustering, so as to improve the accuracy of segmentation and mass center location. The method comprises the following steps: A, carrying out the preprocessing of CT data of the spine, and highlighting a region of interest; B, segmenting and extracting a vertebra region in a spine CT image through using improved FCM image clustering; C, performing the extraction and clustering of pixel points of an original vertebra image, and then finding the final mass centerthrough density estimation; D, synthesizing the result of segmentation and the result of mass center localization.

Description

technical field [0001] The invention mainly relates to the field of vertebral image segmentation processing, in particular to methods for image segmentation and centroid detection based on clustering. Background technique [0002] Image processing, also known as digital image processing, refers to the operations and processing steps performed by digital computers on images in order to achieve a certain purpose. Since the invention of X-ray imaging by German physicist Professor Roentgen at the end of the 19th century, the technology of medical imaging has continued to develop, and image processing technology has also been widely used in medical imaging, which has also favorably promoted the application of medical imaging in clinical medicine. In the process of medical imaging, improving the quality of images has always been the goal that people strive for. It not only provides convenience for doctors' observation and judgment, but also completes the segmentation and feature c...

AI Technical Summary

Problems solved by technology

The adjacent tissue structure of the spine is complex and the background texture is rich, which also makes the segmentation of a single vertebra and the positioning of the centroid of the vertebra more difficult.

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