Adoption of Geometric Properties to Detect Herniated Spinal Disc of Human

Sundos AbdulAmeer Hameed, Israa Muhamad Alwan

Abstract


Image analysis and processing is useful in the medical images field, especially with the use of magnetic resonance images (MRI). In this research, MRI of the human's spine was analysis and processed to identify and detect the herniated spinal Disc, or the probability of occurrence in the future. Lumbar and sacrum regions have been applied by the system. The system includes three phases, the first is to identify the lumbar and sacrum regions second are the geometric properties measuring, and finally to detect the presence or probability of herniated to occur in the future.


Keywords


Herniated spinal, Geometric properties, and MRI.

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References


E.I papageorgiou, P.P Spyridonos, “ Brain Tumor characterization using the soft computing technique of fuzzy cognitive maps”, Applied soft computing, 2008, pp 820-828

Varma D. R., " Managing DICOM images: Tips and tricks for the radiologist", Indian J Radiol Imaging. 2012.

A. C. Douglas," Fundamentals of Spine MRI and Essential Protocols", Akinwande, MD, 2009.

M. Lootus, T. Kadir, and A. Zisserman,” Vertebrae Detection and Labelling in Lumbar MR Images”, Oxford University, http://www.robots.ox.ac.uk/~vgg/

D Zukic,C. Nimsky, A.Vlasak, T Dukatz , D.Horinek and A.Kolb.”Segmtation of Vertebral Bodies in Mr Images”.Vision, Modeling and Visualization ,2012.

N.Kyureghyan, D. Burr, M. Jorgensen, W. Marras,” The prediction of lumbar spine geometry: method development and validation”, Clinical Biomechanics 20, 2005.

Dutton, "Orthopaedics for the Physical Therapist Assistant" , Jones&Bartlett. 2012.

P. Nigel, and Roger W. Soames," Anatomy and Human Movement: Structure and Function" , Churchill Livingstone, ed., 2012

Sumaya, and Zena Vatsa," MRI Image Enhancement", International Journal of Science and Research, 2013

Gonzalez R. C. and Woods R. E., "Digital Image Processing", University of Tennessee, Addison-Wesley Publishing, Internet Report, 2000.

Company, Internet Report, 2000 Curic V., " Mathematical Morphology and Distance Transforms", Centre for Image Analysis Swedish University of Agricultural Sciences, Uppsala University, 2013.




DOI: http://dx.doi.org/10.23851/mjs.v28i3.38

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