Detail publikace

Vertebrae segmentation in 3D CT data: a review of methods and evaluation approaches

JAKUBÍČEK, R. CHMELÍK, J. JAN, J.

Originální název

Vertebrae segmentation in 3D CT data: a review of methods and evaluation approaches

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Spine segmentation, column vertebrae, segmentation of vertebrae, methods evaluation, medical CT data, vertebra detection and identification

Autoři

JAKUBÍČEK, R.; CHMELÍK, J.; JAN, J.

Vydáno

20. 11. 2017

Nakladatel

Bentham Science Publisher Ltd.

ISSN

1573-4056

Periodikum

CURRENT MEDICAL IMAGING REVIEWS

Ročník

14

Číslo

1

Stát

Stát Spojené arabské emiráty

Strany od

1

Strany do

14

Strany počet

14

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"
}