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Proceedings Paper

A novel atlas-based approach for MRI prostate segmentation using multiscale points of interest
Author(s): Charlens Álvarez; Fabio Martínez; Eduardo Romero
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Paper Abstract

Accurate segmentation of the prostate and organs at risk is the fundamental guide for planning any radiotherapy. Such task is currently performed using a manual delineation of the organ on the MRI, a highly time consuming responsibility which in addition introduces inter and intra expert variability. Automatic MRI segmentation is a very challenging goal because of the large organ variability and the proximity of the neighboring organs. This work presents an automatic atlas-based segmentation strategy that selects the most probable template from a database using a robust multiscale similarity analysis. Once that probable template is selected, the associated segmentation is non-rigidly registered to the new MRI. The proposed method takes advantage of both the interindividual shape variation and intra-individual salient point representation. Results show that the method produces reliable segmentations, obtaining an average Dice Coefficient of 72% when comparing with the expert manual segmentation under a leave-one-out scheme with the training database.

Paper Details

Date Published: 19 November 2013
PDF: 6 pages
Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 89220O (19 November 2013);
Show Author Affiliations
Charlens Álvarez, Univ. Nacional de Colombia (Colombia)
Fabio Martínez, Univ. Nacional de Colombia (Colombia)
Eduardo Romero, Univ. Nacional de Colombia (Colombia)


Published in SPIE Proceedings Vol. 8922:
IX International Seminar on Medical Information Processing and Analysis
Jorge Brieva; Boris Escalante-Ramírez, Editor(s)

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