Abstract

By 2026, Korea is expected to surpass the UN’s definition of an aged society and reach the level of a superaged society. With an aging population come increased disorders involving the spine. To prevent unnecessary spinal surgery and support scientific diagnosis of spinal disease and systematic prediction of treatment outcomes, we have been developinge-Spine, which is a computer simulation model of the human spine. In this paper, we present the Korean spine database and automatic surface mesh intersection algorithm to constructe-Spine. To date, the Korean spine database has collected spine data from 77 cadavers and 298 patients. The spine data consists of 2D images from CT, MRI, or X-ray, 3D shapes, geometry data, and property data. The volume and quality of the Korean spine database are now the world’s highest ones. In addition, our triangular surface mesh intersection algorithm automatically remeshes the spine-implant intersection model to make it valid for finite element analysis (FEA). This makes it possible to run the FEA using the spine-implant mesh model without any manual effort. Our database and surface mesh intersection algorithm will offer great value and utility in the diagnosis, treatment, and rehabilitation of patients suffering from spinal diseases.

Highlights

  • Introduction e-Health technologies supporting high efficiency and lowcost medical service based on IT-BT convergence technology have grown in importance because medical expense is increasing and many people are asking for customer-driven medical service in today’s aging society

  • We collected various Korean spine data items from 77 cadavers and 298 patients with normal spine or degenerative spinal diseases to provide a wealth of information related to spine to medical students, physicians, and biomedical engineers

  • We propose the automatic surface mesh intersection algorithm for spine and implant models

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Summary

Korean Spine Database

This occurs at both cervical and lumbar vertebras and can be further classified into anterior osteophyte and posterior osteophyte This can be generally diagnosed by X-ray and CT. This occurs at both cervical and lumbar intervertebral discs and can generally be diagnosed by X-ray, CT, and MRI This is usually classified into five grades: normal, bulging, protrusion, extrusion, and sequestration.

Automatic Surface Mesh Intersection Algorithm
Finding Intersection Points
Performance Evaluation
Findings
Conclusion
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