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Atlas-based prostate segmentation using an hybrid registration

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

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.

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Authors and Affiliations

  1. Laboratoire TIMC-IMAG, équipe GMCAO, CNRS-UJF, Institut d’Ingénierie de l’Information de Santé, 38706, La Tronche Cedex, France

    Sébastien Martin & Jocelyne Troccaz

  2. KOELIS, 5 avenue du Grand Sablon, 38700, La Tronche, France

    Vincent Daanen

Authors
  1. Sébastien Martin
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  2. Vincent Daanen
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  3. Jocelyne Troccaz
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Corresponding author

Correspondence to Sébastien Martin.

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Martin, S., Daanen, V. & Troccaz, J. Atlas-based prostate segmentation using an hybrid registration. Int J CARS 3, 485–492 (2008). https://doi.org/10.1007/s11548-008-0247-0

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  • DOI: https://doi.org/10.1007/s11548-008-0247-0

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