An intelligent interactive segmentation method for the joint space in osteoarthritic ankles

S. D. Olabarriaga, A. V.M. Smeulders, A. C.A. Marijnissen, K. L. Vincken

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

Clinical reality is full of complex images that cannot be segmented automatically with current computer vision technology, requiring intensive user intervention. In [1] and [2] we proposed a framework for the systematic development of intelligent interactive segmentation techniques that aim at repeatable and predictable results obtained via efficient interaction. In this paper we apply this framework to segment the joint space boundary of osteoarthritic ankles. The solution is based on a heterogeneous boundary representation implemented with a new piece-wise deformable model. User intervention is necessary only when this model fails, being performed via specialized interactive tools. Results obtained by a non-medical user are presented, indicating improvement over the manual practice in terms of accuracy and repeatability.

Original languageEnglish
Title of host publicationInformation Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings
EditorsAndrew Todd-Pokropek, Attila Kuba, Martin Samal
PublisherSpringer-Verlag
Pages394-399
Number of pages6
ISBN (Print)3540661670, 9783540661672
Publication statusPublished - 1 Jan 1999
Event16th International conference on Information Processing in Medical Imaging, IPMI 1999 - Visegrad, Hungary
Duration: 28 Jun 19992 Jul 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1613
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International conference on Information Processing in Medical Imaging, IPMI 1999
Country/TerritoryHungary
CityVisegrad
Period28/06/992/07/99

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