Atlas-based prostate segmentation using an hybrid registration
S Martin, V Daanen, J Troccaz - International Journal of Computer …, 2008 - Springer
S Martin, V Daanen, J Troccaz
International Journal of Computer Assisted Radiology and Surgery, 2008•SpringerPurpose 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 …
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 …
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.
Springer