IPIP: A New Approach to Inverse Planning for HDR Brachytherapy by Directly Optimizing Dosimetric Indices
Timmy Siauw, Adam Cunha, Alper Atamturk, I-Chow Hsu, Jean Pouliot,, Ken Goldberg

TL;DR
This paper introduces IPIP, a novel optimization method for HDR brachytherapy planning that directly incorporates dosimetric criteria, achieving high target coverage with rapid computation in prostate cancer cases.
Contribution
The study develops IPIP, an inverse planning model that directly optimizes dosimetric indices, improving efficiency and accuracy over traditional iterative methods.
Findings
IPIP satisfied all dosimetric criteria after a single iteration.
Average target coverage was 95%.
Average computation time was 30.1 seconds.
Abstract
Purpose: Many planning methods for high dose rate (HDR) brachytherapy treatment planning require an iterative approach. A set of computational parameters are hypothesized that will give a dose plan that meets dosimetric criteria. A dose plan is computed using these parameters, and if any dosimetric criteria are not met, the process is iterated until a suitable dose plan is found. In this way, the dose distribution is controlled by abstract parameters. The purpose of this study is to improve HDR brachytherapy planning by developing a new approach that directly optimizes the dose distribution based on dosimetric criteria. Method: We develop Inverse Planning by Integer Program (IPIP), an optimization model for computing HDR brachytherapy dose plans and a fast heuristic for it. We used our heuristic to compute dose plans for 20 anonymized prostate cancer patient image data sets from our…
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