Publication detail

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

JAKUBÍČEK, R. CHMELÍK, J. JAN, J.

Original Title

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

English Title

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

Type

journal article

Language

en

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.

English 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

Released

20.11.2017

Publisher

Bentham Science Publisher Ltd.

Pages from

1

Pages to

14

Pages count

14

URL

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",
  annote="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.",
  address="Bentham Science Publisher Ltd.",
  chapter="137391",
  doi="10.2174/1573405613666170622120228",
  howpublished="online",
  institution="Bentham Science Publisher Ltd.",
  number="1",
  volume="14",
  year="2017",
  month="november",
  pages="1--14",
  publisher="Bentham Science Publisher Ltd.",
  type="journal article"
}