Method for automatically segmenting the spinal cord and canal from 3D CT images

L. Nyúl, Judit Kanyó, Eörs Máté, Géza Makay, Emese Balogh, Márta Fidrich, A. Kuba

Research output: Chapter in Book/Report/Conference proceedingConference contribution

31 Citations (Scopus)

Abstract

We present two approaches for automatically segmenting the spinal cord/canal from native CT images of the thorax region containing the spine. Different strategies are included to handle images where only part of the spinal column is visible. The algorithms require one seed point given on a slice located in the middle region of the spine, and the rest is automatic. The spatial extent of the spinal cord/canal is determined automatically. An extended region-growing technique is suggested for segmenting the spinal canal while active contours are applied if the spinal cord is to be segmented. Both methods work in 2D and use propagated information from neighboring slices. They are also very rapid in execution, that means an efficient, user-friendly workflow. The methods were evaluated by radiologists and were found to be useful (in reducing/eliminating contouring labor and time) and met the accuracy and repeatability requirements for the particular task.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages456-463
Number of pages8
Volume3691 LNCS
Publication statusPublished - 2005
Event11th International Conference on Computer Analysis of Images and Patterns, CAIP 2005 - Versailles, France
Duration: Sep 5 2005Sep 8 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3691 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other11th International Conference on Computer Analysis of Images and Patterns, CAIP 2005
CountryFrance
CityVersailles
Period9/5/059/8/05

Fingerprint

Spinal Canal
CT Image
Spine
3D Image
Canals
Slice
Spinal Cord
Region Growing
Active Contours
Repeatability
Work Flow
Workflow
Information use
Seed
Seeds
Requirements
Thorax
Personnel
Strategy

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Nyúl, L., Kanyó, J., Máté, E., Makay, G., Balogh, E., Fidrich, M., & Kuba, A. (2005). Method for automatically segmenting the spinal cord and canal from 3D CT images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3691 LNCS, pp. 456-463). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3691 LNCS).

Method for automatically segmenting the spinal cord and canal from 3D CT images. / Nyúl, L.; Kanyó, Judit; Máté, Eörs; Makay, Géza; Balogh, Emese; Fidrich, Márta; Kuba, A.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3691 LNCS 2005. p. 456-463 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3691 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nyúl, L, Kanyó, J, Máté, E, Makay, G, Balogh, E, Fidrich, M & Kuba, A 2005, Method for automatically segmenting the spinal cord and canal from 3D CT images. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3691 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3691 LNCS, pp. 456-463, 11th International Conference on Computer Analysis of Images and Patterns, CAIP 2005, Versailles, France, 9/5/05.
Nyúl L, Kanyó J, Máté E, Makay G, Balogh E, Fidrich M et al. Method for automatically segmenting the spinal cord and canal from 3D CT images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3691 LNCS. 2005. p. 456-463. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Nyúl, L. ; Kanyó, Judit ; Máté, Eörs ; Makay, Géza ; Balogh, Emese ; Fidrich, Márta ; Kuba, A. / Method for automatically segmenting the spinal cord and canal from 3D CT images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3691 LNCS 2005. pp. 456-463 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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