NDLI: Vertebrae segmentation techniques for spinal medical images

Content Provider	IEEE Xplore Digital Library
Author	Darwish, A.A. Salem, M.A.-M. Hegazy, D. Ebeid, H.M.
Copyright Year	2015
Description	Author affiliation: Sci. Comput. Dept., Ain Shams Univ., Cairo, Egypt (Darwish, A.A.; Salem, M.A.-M.; Hegazy, D.; Ebeid, H.M.)
Abstract	Accurate localization and segmentation of the spine from medical images plays an important role in CAD (Computer Aided Diagnoses) as it used for many clinical tasks to diagnose many diseases like degenerative disc disease, kyphosis, scoliosis and spondylolisthesis. Besides it can be used as an input to the classification process. Although the bone structures in medical images have high contrast but the vertebrae identification is considered a challenging task due to many difficulties like the unclear boundaries of the vertebrae, the abnormal spine curves and complex structure of the vertebra. In order to achieve an accurate, efficient and automated spine segmentation and detection from medical images, there are several techniques. This paper analyze and review the different vertebrae segmentation techniques. The spine segmentation task divides into three main stages: initial spine skeleton detection, vertebrae segmentation of the spine while the third stage is designed to enhance the results of the vertebrae segmentation. This paper presents different algorithms for each stage as each algorithm is supported by one or more paper which explain the algorithm.
Starting Page	110
Ending Page	115
File Size	346221
Page Count	6
File Format	PDF
ISBN	9781509019496
e-ISBN	9781509019502
DOI	10.1109/IntelCIS.2015.7397206
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-12
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Adaptation models Computed tomography Computational modeling Medical Images Surgery Classification Computer Aided Diagnoses Vertebrae Segmentation Classification algorithms Biomedical imaging Spine Segmentation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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