Determination of beam intensity in a single step for IMRT inverse planning

被引:3
|
作者
Chuang, KS [1 ]
Chen, TJ
Kuo, SC
Jan, ML
Hwang, IM
Chen, S
Lin, YC
Wu, J
机构
[1] Natl Tsing Hua Univ, Dept Nucl Sci, Hsinchu 30043, Taiwan
[2] Kaohsiung Med Univ, Sch Med Technol, Kaohsiung, Taiwan
[3] Provincial Tao Yuan Gen Hosp, Dept Radiat Oncol, Tao Yuan, Taiwan
来源
PHYSICS IN MEDICINE AND BIOLOGY | 2003年 / 48卷 / 03期
关键词
D O I
10.1088/0031-9155/48/3/302
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In intensity modulated radiotherapy (IMRT), targets are treated by multiple beams at different orientations each with spatially-modulated beam intensities. This approach spreads the normal tissue dose to a greater volume and produces a higher dose conformation to the target. In general, inverse planning is used for IMRT treatment planning. The inverse planning requires iterative calculation of dose distribution in order to optimize the intensity profile for each beam and is very computation intensive. In this paper, we propose a single-step method utilizing a figure of merit (FoM) to estimate the beam intensities for IMRT treatment planning. The FoM of a ray is defined as the ratio between the delivered tumour dose and normal tissue dose and is a good index for the dose efficacy of the ray. To maximize the beam utility, it is natural to irradiate the tumour with intensity of each ray proportional to the value of the FoM. The nonuniform beam intensity profiles are then fixed and the weights of the beam are determined iteratively in order to yield a uniform tumour dose. In this study, beams are employed at equispaced angles around the patient. Each beam with its field size that just covers the tumour is divided into a fixed number of beamlets. The FoM is calculated for each beamlet and this value is assigned to be the beam intensity. Various weighting factors are incorporated in the FoM computation to accommodate different clinical considerations. Two clinical datasets are used to test the feasibility of the algorithm. The resultant dose-volume histograms of this method are presented and compared to that of conformal therapy. Preliminary results indicate that this method reduces the critical organ doses at a small expense of uniformity in tumour dose distribution. This method estimates the beam intensity in one single step and the computation time is extremely fast and can be finished in less than one minute using a regular PC.
引用
下载
收藏
页码:293 / 306
页数:14
相关论文
共 50 条
  • [31] Beam angle optimization for IMRT treatment planning
    Pesola, K
    Alakuijala, J
    Helminen, H
    Pyyry, J
    RADIOTHERAPY AND ONCOLOGY, 2005, 76 : S172 - S172
  • [32] Comparison of IMRT planning with two-step and one-step optimization: a way to simplify IMRT
    Ludlum, E.
    Xia, P.
    PHYSICS IN MEDICINE AND BIOLOGY, 2008, 53 (03): : 807 - 821
  • [33] Optimizing beam angles for IMRT treatment planning
    Pesola, K.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2006, 66 (03): : S680 - S680
  • [34] Intrinsic smooth intensity pattern for beamlet-based IMRT inverse planning from a simultaneous projection algorithm
    Xiao, Y
    Censor, Y
    Michalski, D
    Galvin, J
    MEDICAL PHYSICS, 2002, 29 (06) : 1254 - 1255
  • [35] A Comparison of Treatment Planning and Delivery of VMAT Using Anatomy-Based and Fluence-Based Inverse Planning with Step and Shoot IMRT
    Rao, M.
    Wong, T.
    Cao, D.
    Chen, F.
    Ye, J.
    Mehta, V.
    Shepard, D.
    MEDICAL PHYSICS, 2009, 36 (06)
  • [36] Intensity-modulated radiation therapy (IMRT) and inverse treatment planning for tumors of the head and neck region in the daily clinical routine: Preliminary results of the "step and shoot" approach
    Muenter, MW
    Thilmann, CJ
    Haering, P
    Rhein, B
    Bortfeld, T
    Schlegel, T
    RADIOLOGY, 2001, 221 : 466 - 466
  • [37] A function approximation approach to the segmentation step in IMRT planning
    Kiesel, Antje
    OR SPECTRUM, 2012, 34 (01) : 181 - 198
  • [38] A function approximation approach to the segmentation step in IMRT planning
    Antje Kiesel
    OR Spectrum, 2012, 34 : 181 - 198
  • [39] Inverse IMRT planning with commercial software: a comparison of the pinnacle and plato planning algorithms
    Mayles, H
    Cassapi, L
    Mayles, P
    Scott, A
    Syndikus, I
    Wolff, T
    RADIOTHERAPY AND ONCOLOGY, 2003, 68 : S70 - S70
  • [40] OPTIMISATION OF BEAM ORIENTATIONS FOR INTENSITY MODULATED RADIOTHERAPY (IMRT)
    Gerard, K.
    Marchesi, V.
    Franceries, X.
    Husson, F.
    Noel, A.
    Kafrouni, H.
    Aletti, P.
    RADIOTHERAPY AND ONCOLOGY, 2008, 88 : S420 - S420