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- W2952333919 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." @default.
- W2952333919 created "2019-06-27" @default.
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- W2952333919 date "2008-06-23" @default.
- W2952333919 modified "2023-09-28" @default.
- W2952333919 title "Atlas-Based Prostate Segmentation Using an Hybrid Registration" @default.
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