Atlas-Based Prostate Segmentation Using an Hybrid Registration

dc.creatorMartin, Sébastien
dc.creatorDaanen, Vincent
dc.creatorTroccaz, Jocelyne
dc.date2008-06-23
dc.date.accessioned2026-07-07T12:19:39Z
dc.date.available2026-07-07T12:19:39Z
dc.descriptionPurpose: This paper presents the preliminary results of a semi-automatic method for prostate segmentation of Magnetic Resonance Images (MRI) which aims to be incorporated in a navigation system for prostate brachytherapy. Methods: The method is based on the registration of an anatomical atlas computed from a population of 18 MRI exams onto a patient image. An hybrid registration framework which couples an intensity-based registration with a robust point-matching algorithm is used for both atlas building and atlas registration. Results: The method has been validated on the same dataset that the one used to construct the atlas using the "leave-one-out method". Results gives a mean error of 3.39 mm and a standard deviation of 1.95 mm with respect to expert segmentations. Conclusions: We think that this segmentation tool may be a very valuable help to the clinician for routine quantitative image exploitation.
dc.descriptionInternational Journal of Computer Assisted Radiology and Surgery (2008) 000-999
dc.identifierhttps://arxiv.org/abs/0806.3708
dc.identifierhttp://arxiv.org/abs/0806.3708
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212831
dc.subjectOther Computer Science
dc.titleAtlas-Based Prostate Segmentation Using an Hybrid Registration
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