Exploiting weak shape constraints to segment capillary images in microangiopathy

M. Rogers, J. Graham, Rayaz Malik

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

3 Citations (Scopus)

Abstract

Microangiopathy is one form of pathology associated with peripheral neuropathy in diabetes. Capillaries imaged by electron microscopy show a complex textured appearance, which makes segmentation difficult. Considerable variation occurs among boundaries manually positioned by human experts. Detection of region boundaries using Active Contour Models has proved impractical due to the existence of confusing image evidence in the vicinity of these boundaries. Despite the fact that the shapes have no identifying landmarks, the weak constraints imposed by statistical shape modelling combined with genetic search can provide accurate segmentations.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2000 - 3rd International Conference, Proceedings
PublisherSpringer Verlag
Pages717-726
Number of pages10
Volume1935
ISBN (Print)3540411895, 9783540411895
Publication statusPublished - 2000
Externally publishedYes
Event3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000 - Pittsburgh, United States
Duration: 11 Oct 200014 Oct 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1935
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000
CountryUnited States
CityPittsburgh
Period11/10/0014/10/00

Fingerprint

Shape Constraint
Pathology
Medical problems
Electron microscopy
Segmentation
Shape Modeling
Active Contour Model
Diabetes
Statistical Modeling
Electron Microscopy
Landmarks

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Rogers, M., Graham, J., & Malik, R. (2000). Exploiting weak shape constraints to segment capillary images in microangiopathy. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000 - 3rd International Conference, Proceedings (Vol. 1935, pp. 717-726). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1935). Springer Verlag.

Exploiting weak shape constraints to segment capillary images in microangiopathy. / Rogers, M.; Graham, J.; Malik, Rayaz.

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000 - 3rd International Conference, Proceedings. Vol. 1935 Springer Verlag, 2000. p. 717-726 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1935).

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

Rogers, M, Graham, J & Malik, R 2000, Exploiting weak shape constraints to segment capillary images in microangiopathy. in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000 - 3rd International Conference, Proceedings. vol. 1935, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1935, Springer Verlag, pp. 717-726, 3rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2000, Pittsburgh, United States, 11/10/00.
Rogers M, Graham J, Malik R. Exploiting weak shape constraints to segment capillary images in microangiopathy. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000 - 3rd International Conference, Proceedings. Vol. 1935. Springer Verlag. 2000. p. 717-726. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Rogers, M. ; Graham, J. ; Malik, Rayaz. / Exploiting weak shape constraints to segment capillary images in microangiopathy. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000 - 3rd International Conference, Proceedings. Vol. 1935 Springer Verlag, 2000. pp. 717-726 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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