An algorithm for systematic selection of beam directions for IMRT

被引:29
作者
Gaede, S [1 ]
Wong, E
Rasmussen, H
机构
[1] Univ Western Ontario, Dept Appl Math, London, ON N6A 5B9, Canada
[2] London Reg Canc Ctr, Dept Phys, London, ON N6A 4L6, Canada
[3] Univ Western Ontario, Dept Oncol, London, ON, Canada
关键词
intensity modulated radiation therapy; inverse treatment planning; beam direction optimization;
D O I
10.1118/1.1636572
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Selection of the number of beams and their directions can be an important problem in radiation therapy, especially when a tumor surrounds a critical organ or is surrounded by multiple critical organs. Beam directions, in this sense, are chosen to not only avoid critical organs, but also to achieve better target dose uniformity. In intensity-modulated radiation therapy (IMRT), optimization of beam directions is further complicated due to the dependence of one beam direction on its corresponding beamlet intensities and the beamlet intensities of all other beam directions. The result is an excessively enlarged search space, even when the number of beams is small (two to three). Until now, only a handful of publications exist regarding beam direction optimization in IMRT. Here, we report a new systematic approach that determines a suitable number of "more optimal" beam directions without optimizing a complicated objective function or resorting to brute force. We start by assuming that beam directions chosen for an N-beam plan are candidates for beam directions in the search for an (N+1)-beam plan. Knowing that beam directions in an N-beam plan are not always the best choices for the (N+1)-beam plan, we introduce into the beam direction selection process an analysis of the beamlet weights of every beam direction set sampled. If the relative weights of any particular beam compared to other beams are insignificant and hence have no significant effect on the quality of the treatment plan, then we eliminate this beam from the plan. The algorithm terminates basically when the relative weights of the last beam compared to other beams are insignificant or the replacement of an eliminated beam does not improve the plan. This concept was applied to three two-dimensional phantoms and each plan was compared to a standard equally spaced IMRT plan in terms of dose distributions, dose-volume histograms, and objective function values. The results show improvements in both target dose uniformity and critical organ sparing often with a fewer number of beams than standard equally spaced beam plans. (C) 2004 American Association of Physicists in Medicine.
引用
收藏
页码:376 / 388
页数:13
相关论文
共 27 条
[1]  
[Anonymous], 1993, WILEY INTERSCIENCE S
[2]   Estimation of the incidence of late bladder and rectum complications after high-dose (70-78 Gy) conformal radiotherapy for prostate cancer, using dose-volume histograms [J].
Boersma, LJ ;
van den Brink, M ;
Bruce, AM ;
Shouman, T ;
Gras, L ;
te Velde, A ;
Lebesque, JV .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 1998, 41 (01) :83-92
[3]   Optimized planning using physical objectives and constraints [J].
Bortfeld, T .
SEMINARS IN RADIATION ONCOLOGY, 1999, 9 (01) :20-+
[4]   OPTIMIZATION OF BEAM ORIENTATIONS IN RADIATION-THERAPY - SOME THEORETICAL CONSIDERATIONS [J].
BORTFELD, T ;
SCHLEGEL, W .
PHYSICS IN MEDICINE AND BIOLOGY, 1993, 38 (02) :291-304
[5]   Optimum beam configurations in tomographic intensity modulated radiation therapy [J].
Braunstein, M ;
Levine, RY .
PHYSICS IN MEDICINE AND BIOLOGY, 2000, 45 (02) :305-328
[6]   Optimization of intensity modulated beams with volume constraints using two methods: Cost function minimization and projections onto convex sets [J].
Cho, PS ;
Lee, S ;
Marks, RJ ;
Oh, SH ;
Sutlief, SG ;
Phillips, MH .
MEDICAL PHYSICS, 1998, 25 (04) :435-443
[7]   Multiple local minima in radiotherapy optimization problems with dose-volume constraints [J].
Deasy, JO .
MEDICAL PHYSICS, 1997, 24 (07) :1157-1161
[8]   TOLERANCE OF NORMAL TISSUE TO THERAPEUTIC IRRADIATION [J].
EMAMI, B ;
LYMAN, J ;
BROWN, A ;
COIA, L ;
GOITEIN, M ;
MUNZENRIDER, JE ;
SHANK, B ;
SOLIN, LJ ;
WESSON, M .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 1991, 21 (01) :109-122
[9]   A continuous penalty function method for inverse treatment planning [J].
Hristov, DH ;
Fallone, BG .
MEDICAL PHYSICS, 1998, 25 (02) :208-223
[10]   Variation method for inverse treatment planning [J].
Liu, Y ;
Yin, FF ;
Gao, QH .
MEDICAL PHYSICS, 1999, 26 (03) :356-363