NDLI: Role of non-coplanar beams in IMRT

Content Provider	IEEE Xplore Digital Library
Author	Pugachev, A. Li, J.G. Boyer, A.L. Xing, L.
Copyright Year	2000
Description	Author affiliation: Sch. of Med., Stanford Univ., CA, USA (Pugachev, A.)
Abstract	The authors have investigated the benefits of using noncoplanar beams with optimized directions for intensity modulated radiation therapy. They have considered three typical cases of localized prostate cancer, nasopharyngeal cancer, and paraspinal treatment. Nine fields were used for each treatment. For all cases, three types of treatment plan optimization were done: (1) nine uniformly spaced coplanar beams with optimized beam intensity profiles; (2) beam orientations and beam profiles were optimized, but only coplanar beams were allowed; (3) similar to (2), except that non-coplanar beams were allowed during beam orientation optimization. Simulated annealing was used for beam orientation optimization and an iterative optimization algorithm was used for beam intensity profile optimization. For the localized prostate case, all three types of optimization described above resulted in a dose distribution of similar quality. For the nasopharyngeal case, optimized non-coplanar beams provided a significant improvement in GTV coverage. For the paraspinal case, orientation optimization of non-coplanar beams resulted in significant improvement of kidney sparing and In increased GTV coverage. It is concluded that the use of non-coplanar beams with optimized orientations presents a viable option to improve target coverage and critical structure sparing in complicated cases.
Starting Page	456
Ending Page	459
File Size	317749
Page Count	4
File Format	PDF
ISBN	0780364651
ISSN	1094687X
DOI	10.1109/IEMBS.2000.900774
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-07-23
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomedical applications of radiation Intensity modulation Simulated annealing Stochastic processes Optical modulation Prostate cancer Iterative algorithms Battery powered vehicles Distributed computing Sampling methods
Content Type	Text
Resource Type	Article

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