Purpose: 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.
@article{arxiv.0806.3708,
title = {Atlas-Based Prostate Segmentation Using an Hybrid Registration},
author = {Sébastien Martin and Vincent Daanen and Jocelyne Troccaz},
journal= {arXiv preprint arXiv:0806.3708},
year = {2008}
}
Comments
International Journal of Computer Assisted Radiology and Surgery (2008) 000-999