Composite geometric modeling for directional brachytherapy: a novel approach for capsule placement optimization

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Authors: Yu. G. Stoyan, Georgiy Yaskov, Andrii Chuhai, Yelyzaveta Yaskova, M. O. Shcherbyna
Cited by: 1
References: 16

Abstract

This study presents a novel geometric modeling approach for directional brachytherapy, focusing on optimizing capsule placement within anatomically complex target regions. The proposed method introduces composite capsule representations, combining cylindrical bodies with spherical radiation zones, and employs normalized phi-functions to enforce spatial and angular constraints. A hybrid optimization strategy is developed, integrating online and offline packing techniques to construct and refine feasible configurations incrementally. The mathematical formulation treats the placement problem as an identical item packing problem (IIPP), incorporating nonlinear programming to manage capsule interactions and orientation control. Computational experiments were conducted across four examples with varying capsule counts, geometric parameters, and constraint settings. Results demonstrate the method’s adaptability to different anatomical conditions and effectiveness in non-parallel alignment. The approach supports anatomically conformal treatment planning.

Fields of Study & Subjects

Soft Robotics and Applications Surgical Simulation and Training 3D Shape Modeling and Analysis

Publication details

Journal / source
CEUR Workshop Proceedings, Vol-4159: Proceedings of the 2nd International Workshop on Bioinformatics and Applied Information Technologies for medical purpose (BAITmp 2025)
Publisher
CEUR-WS.org
Pages
67–77
Publication date
7 February 2026