Overview of Image Segmentation and Registration for Spine Biological Modeling

doi:10.16182/j.issn1004731x.joss.18-0806

Abstract

Abstract: The prevalence of common spinal fractures is high in this day. Spinal image segmentation and registration are the key step and prerequisite of target recognition, biomechanical modeling and finite element analysis. They are also the key technology of noninvasive surgery navigation. Aiming at the problems of spinal image processing, the classical medical image segmentation and registration algorithm is introduced. It also analyzes the defects and prospects of the future development trend of spine image processing. The research results have certain significance for further understanding of spinal medical image processing and promoting the development of rehabilitation therapy for spinal fractures.

Key words: spine, medical image, image segmentation, image registration

CLC Number:

TP301.6

Gu Juping, Cheng Tianyu, Hua Liang, Wang Jianping, Zhao Jian, Cao Yong. Overview of Image Segmentation and Registration for Spine Biological Modeling[J]. Journal of System Simulation, 2019, 31(2): 167-173.

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