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MR prior based automatic segmentation of the prostate in TRUS images for MR/TRUS data fusion

Authors :
Jocelyne Troccaz
Michael Baumann
Vincent Daanen
Sébastien Martin
Troccaz, Jocelyne
Technologies pour la santé - ACCES PERINEAL A LA PROSTATE ASSISTE PAR ORDINATEUR - - PROSPER2007 - ANR-07-TECS-0017 - TECSAN - VALID
Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525 (TIMC-IMAG)
VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)
Société KOELIS
entreprise
Gestes Medico-chirurgicaux Assistés par Ordinateur (TIMC-IMAG-GMCAO)
VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)
ANR-07-TECS-0017,PROSPER,ACCES PERINEAL A LA PROSTATE ASSISTE PAR ORDINATEUR(2007)
Source :
Proceedings of the IEEE International Symposium on Biomedical Imaging, IEEE International Symposium on Biomedical Imaging, ISBI'2010, IEEE International Symposium on Biomedical Imaging, ISBI'2010, Apr 2010, Rotterdam, Netherlands. pp.640-643, ISBI
Publication Year :
2010
Publisher :
HAL CCSD, 2010.

Abstract

International audience; The poor signal-to-noise ratio in transrectal ultrasound (TRUS) images makes the fully automatic segmentation of the prostate challenging and most approaches proposed in the literature still lack robustness and accuracy. However, it is relatively straightforward to obtain high quality segmentations in magnetic resonance (MR) images. In the context of MR to TRUS data fusion the information gathered in the MR images can hence provide a strong prior for US segmentation. In this paper, we describe a method to non-linearly register a patient specific mesh of the prostate build from MR images to TRUS volume. The MR prior provides shape and volume constraints that are used to guide the MR-to-TRUS surface deformation, in collaboration with a US image contour appearance model. The anatomical point correspondences between the MR and TRUS surfaces are obtained implicitly. The method was validated on 30 pairs of MR/TRUS patient exams and achieves a mean Dice value 0.85 and a mean surface error of 2.0 mm.

Details

Language :
English
Database :
OpenAIRE
Journal :
Proceedings of the IEEE International Symposium on Biomedical Imaging, IEEE International Symposium on Biomedical Imaging, ISBI'2010, IEEE International Symposium on Biomedical Imaging, ISBI'2010, Apr 2010, Rotterdam, Netherlands. pp.640-643, ISBI
Accession number :
edsair.doi.dedup.....3e45da54b143ea68a30205339bf959ab