Classification of Intervertebral Disc Degeneration (IVDD) using VESTAL
Keywords:
IVD, VESTAL, statistics, vertebrae, intervertebral, disc, classification
Abstract
Spine is the most essential part of human body Vertebrae and intervertebral discs are important parts of Spine The Inter vertebral disc IVD is a complex and load bearing structure IVD undergoes a process of change with age and leads to failures This paper presents a novel model to detect IVD failures using Magnetic Resonance MR images The proposed method makes use of Vertebrae Statistics description Algorithm VESTAL to create a template by extracting features from several MR images contains healthy IVDs The proposed method measures IVD and vertebrae features like intensity anterior width posterior width and center length of IVD A template is created by VESTAL algorithm by extracting feature from 220 healthy IVD images in this work The proposed method is implemented on 45 case studies where IVD failure have taken place Proposed method detected the failure region and classified the IVDwith 94 accuracy
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
Published
2015-01-15
Issue
Section
License
Copyright (c) 2015 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.