Universität zu Köln

Gerlach, Stefan ORCID: 0000-0002-8992-444X, Hofmann, Theresa, Fuerweger, Christoph and Schlaefer, Alexander ORCID: 0000-0001-9201-8854 (2022). AI-based optimization for US-guided radiation therapy of the prostate. Int. J. Comput. Assist. Radiol. Surg., 17 (11). S. 2023 - 2033. HEIDELBERG: SPRINGER HEIDELBERG. ISSN 1861-6429

Full text not available from this repository.

Abstract

Objectives Fast volumetric ultrasound presents an interesting modality for continuous and real-time intra-fractional target tracking in radiation therapy of lesions in the abdomen. However, the placement of the ultrasound probe close to the target structures leads to blocking some beam directions. Methods To handle the combinatorial complexity of searching for the ultrasound-robot pose and the subset of optimal treatment beams, we combine CNN-based candidate beam selection with simulated annealing for setup optimization of the ultrasound robot, and linear optimization for treatment plan optimization into an AI-based approach. For 50 prostate cases previously treated with the CyberKnife, we study setup and treatment plan optimization when including robotic ultrasound guidance. Results The CNN-based search substantially outperforms previous randomized heuristics, increasing coverage from 93.66 to 97.20% on average. Moreover, in some cases the total MU was also reduced, particularly for smaller target volumes. Results after AI-based optimization are similar for treatment plans with and without beam blocking due to ultrasound guidance. Conclusions AI-based optimization allows for fast and effective search for configurations for robotic ultrasound-guided radiation therapy. The negative impact of the ultrasound robot on the plan quality can successfully be mitigated resulting only in minor differences.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Gerlach, Stefan UNSPECIFIED orcid.org/0000-0002-8992-444X UNSPECIFIED Hofmann, Theresa UNSPECIFIED UNSPECIFIED UNSPECIFIED Fuerweger, Christoph UNSPECIFIED UNSPECIFIED UNSPECIFIED Schlaefer, Alexander UNSPECIFIED orcid.org/0000-0001-9201-8854 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-669015
DOI:	10.1007/s11548-022-02664-6
Journal or Publication Title:	Int. J. Comput. Assist. Radiol. Surg.
Volume:	17
Number:	11
Page Range:	S. 2023 - 2033
Date:	2022
Publisher:	SPRINGER HEIDELBERG
Place of Publication:	HEIDELBERG
ISSN:	1861-6429
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language MOTION COMPENSATION; GUIDANCE; DESIGN Multiple languages Engineering, Biomedical; Radiology, Nuclear Medicine & Medical Imaging; Surgery Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/66901