Application of automatic image registration in a segmentation framework of pelvic CT images

Attila Tanács, Eörs Máté, A. Kuba

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

3 Citations (Scopus)

Abstract

In radiation treatment (RT) planning, clinicians must trace the outline of a few critical structures on a large number of images. Using automated image segmentation could save tremendous time and effort. Segmentation of the organs near the pubic bone (prostate and bladder) is an important and challenging task: Some of the neighboring organs have similar density values in the CT images and the border between the different organs is hardly visible. In a segmentation framework, transforming a CT study to a common reference frame is used in two tasks: For statistical atlas (model) generation, and in the clinical application, establishing the voxel-to-voxel correspondence between the study and the model. In these cases precise alignment of all anatomical structures is not crucial, the focus is on proper alignment of the pubic bone area and fast execution. Our proposed method solves this by a new, two step process based on a voxel similarity-based registration algorithm.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages628-635
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

Pubic Bone
CT Image
Image registration
Voxel
Image Registration
Bone
Segmentation
Atlases
Alignment
Statistical Models
Image segmentation
Prostate
Urinary Bladder
Atlas
Radiation
Planning
Image Segmentation
Registration
Correspondence
Trace

ASJC Scopus subject areas

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

Cite this

Tanács, A., Máté, E., & Kuba, A. (2005). Application of automatic image registration in a segmentation framework of pelvic CT images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3691 LNCS, pp. 628-635). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3691 LNCS).

Application of automatic image registration in a segmentation framework of pelvic CT images. / Tanács, Attila; Máté, Eörs; Kuba, A.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3691 LNCS 2005. p. 628-635 (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

Tanács, A, Máté, E & Kuba, A 2005, Application of automatic image registration in a segmentation framework of pelvic 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. 628-635, 11th International Conference on Computer Analysis of Images and Patterns, CAIP 2005, Versailles, France, 9/5/05.
Tanács A, Máté E, Kuba A. Application of automatic image registration in a segmentation framework of pelvic 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. 628-635. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Tanács, Attila ; Máté, Eörs ; Kuba, A. / Application of automatic image registration in a segmentation framework of pelvic CT images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3691 LNCS 2005. pp. 628-635 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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