A novel atlas-based approach for MRI prostate segmentation using multiscale points of interest

Charlens Álvarez; Fabio Martínez; Eduardo Romero

doi:10.1117/12.2035462

19 November 2013 A novel atlas-based approach for MRI prostate segmentation using multiscale points of interest

Charlens Álvarez, Fabio Martínez, Eduardo Romero

Author Affiliations +

Proceedings Volume 8922, IX International Seminar on Medical Information Processing and Analysis; 89220O (2013) https://doi.org/10.1117/12.2035462
Event: IX International Seminar on Medical Information Processing and Analysis, 2013, Mexico City, Mexico

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.

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Charlens Álvarez, Fabio Martínez, and Eduardo Romero "A novel atlas-based approach for MRI prostate segmentation using multiscale points of interest", Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 89220O (19 November 2013); https://doi.org/10.1117/12.2035462

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