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JAKUBÍČEK, R. CHMELÍK, J. JAN, J.
Original Title
Vertebrae segmentation in 3D CT data: a review of methods and evaluation approaches
Type
journal article in Web of Science
Language
English
Original Abstract
Robust and accurate segmentation of the spine subdivided into individual vertebrae is necessary for subsequent diagnosis of illnesses related to the spine, particularly those requiring detection and classification of bone lesions. Based on correct vertebra segmentation, the current status of a disease under treatment ― as well as its progress ― can be determined and followed. The problem is complicated by frequent heavy deformations of both the spine axis and individual vertebrae due to illness, so that some vertebrae may differ substantially from expected shapes or even be missing. This overview summarises and discusses so far published methods for spine and vertebrae segmentation in 3D CT thoracic data. It suggests a classification of these algorithms based on the used approaches, complexity of algorithms, as well as on achieved efficiencies.
Keywords
Spine segmentation, column vertebrae, segmentation of vertebrae, methods evaluation, medical CT data, vertebra detection and identification
Authors
JAKUBÍČEK, R.; CHMELÍK, J.; JAN, J.
Released
20. 11. 2017
Publisher
Bentham Science Publisher Ltd.
ISBN
1573-4056
Periodical
CURRENT MEDICAL IMAGING REVIEWS
Year of study
14
Number
1
State
United Arab Emirates
Pages from
Pages to
Pages count
URL
http://www.eurekaselect.com/153553
BibTex
@article{BUT137391, author="Roman {Jakubíček} and Jiří {Chmelík} and Jiří {Jan}", title="Vertebrae segmentation in 3D CT data: a review of methods and evaluation approaches", journal="CURRENT MEDICAL IMAGING REVIEWS", year="2017", volume="14", number="1", pages="1--14", doi="10.2174/1573405613666170622120228", issn="1573-4056", url="http://www.eurekaselect.com/153553" }