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Kyle MacNeil

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Proceedings Article | 8 March 2019 Paper

Application of open-source computational tools to focal laser ablation of the prostate

Kyle MacNeil, Aritrick Chatterjee, Clare Tempany, Aytekin Oto, Andriy Fedorov

Proceedings Volume 10951, 109511S (2019) https://doi.org/10.1117/12.2512999

KEYWORDS: Tumors, Image segmentation, Prostate, Image registration, Laser ablation, Magnetic resonance imaging, Prostate cancer, 3D acquisition, Cancer

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Standard treatment of prostate cancer has traditionally been invasive and radical, with the whole gland being treated, even in those instances of localized prostate cancer. The ongoing development of computational tools and improvements to MRI techniques has led to an increase in research exploring alternative treatment solutions. The goal of this study was to investigate the application of open-source computational tools to MR guided Prostate Cancer Focal Laser Ablation (PCaFLA). To this end, we explore the use of image registration tools within 3D Slicer to assess target coverage with the treated ablation zone. Three different registration tools were investigated for registration between a planning MRI (day of procedure MRI examination prior to ablation) and a post-treatment MRI (day of procedure MRI examination immediately after ablation). Prostate whole gland, focal tumor volume ROI, and ablation zone were segmented manually for each case. Overlap between the ablation zone and tumor ROI was quantified using volume overlap measures and directed Hausdorff distance (HD) metrics and experimental results were reported. Experimental results demonstrate the ability to apply open-source computational tools to investigate outcomes of focal laser ablation of the prostate from imaging. This study provides a preliminary evaluation of the utility of open-source computational tools in intra-procedural feedback and post-treatment assessment for focal therapy.

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