2015 | OriginalPaper | Chapter
Automatic Prostate Brachytherapy Preplanning Using Joint Sparse Analysis
Authors : Saman Nouranian, Mahdi Ramezani, Ingrid Spadinger, William J. Morris, Septimiu E. Salcudean, Purang Abolmaesumi
Published in: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
Publisher: Springer International Publishing
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Prostate brachytherapy preplanning is the process of determining treatment target volume and arrangement of radioactive seeds w.r.t. the target volume prior to the implantation. Although preplanning is typically performed by a trained expert using a strict set of guidelines, the process remains highly subjective, resulting in significant user-dependent variability in the plans. In this work, we aim to reduce the preplanning variability by automating the seed arrangement process. We propose a novel framework which uses a retrospective treatment dataset to extract common radioactive seed patterns. The framework captures the inter-relation between the treatment volume delineation and seed arrangements through a joint sparse representation of retrospective data. This representation is used to estimate an initial seed arrangement for a new treatment volume, followed by a novel optimization process which captures the clinical guidelines, to fine-tune the seed arrangement. The proposed framework is evaluated on a dataset of 590 brachytherapy treatment cases by 5-fold cross validation. It achieves 86% success rate, when compared to the clinical guidelines and the actual plans.