Atlas-Based Prostate Segmentation Using an Hybrid Registration

Sébastien Martin (1) , Vincent Daanen (1, 2) , Jocelyne Troccaz (3)

1 TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525
2 INSIDE - INtegrative research unit on Social and Individual DEvelopment
3 TIMC-IMAG-GMCAO - Gestes Medico-chirurgicaux Assistés par Ordinateur

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.

Mots clés: Atlas-based-Segmentation; prostate; MRI

Domaines: Autre [cs.OH]; Imagerie médicale; Ingénierie biomédicale

Sébastien Martin, Vincent Daanen, Jocelyne Troccaz. Atlas-Based Prostate Segmentation Using an Hybrid Registration. International Journal of Computer Assisted Radiology and Surgery, 2008, 3, pp.485-492. ⟨hal-00289854⟩