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 language | English |
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Title of host publication | Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings |
Editors | Andrew Todd-Pokropek, Attila Kuba, Martin Samal |
Publisher | Springer-Verlag |
Pages | 394-399 |
Number of pages | 6 |
ISBN (Print) | 3540661670, 9783540661672 |
Publication status | Published - 1 Jan 1999 |
Event | 16th International conference on Information Processing in Medical Imaging, IPMI 1999 - Visegrad, Hungary Duration: 28 Jun 1999 → 2 Jul 1999 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 1613 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 16th International conference on Information Processing in Medical Imaging, IPMI 1999 |
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Country/Territory | Hungary |
City | Visegrad |
Period | 28/06/99 → 2/07/99 |