IMRT dose shaping with regionally variable penalty scheme

被引:32
作者
Cotrutz, C [1 ]
Xing, L [1 ]
机构
[1] Stanford Univ, Sch Med, Dept Radiat Oncol, Stanford, CA 94305 USA
关键词
IMRT; dose optimization; importance factors; inverse planning;
D O I
10.1118/1.1556610
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
A commonly known deficiency of currently available inverse planning systems is the difficulty in fine-tuning the final dose distribution. In practice, it is not uncommon that just a few unsatisfactory regions in the planning target volume or an organ at risk prevent an intensity modulated radiation therapy (IMRT) plan from being clinically acceptable. The purpose of this work is to introduce a mechanism for controlling the regional doses after a conventional IMRT plan is obtained and to demonstrate its clinical utility. Two types of importance factors are introduced in the objective function to model the tradeoffs of different clinical objectives. The first is the conventional structure-dependent importance factor, which quantifies the interstructure tradeoff. The second type is the voxel-dependent importance factor which "modulates" the importance of different voxels within a structure. The planning proceeds in two major steps. First a conventional inverse planning is performed, where the structure-dependent importance factors are determined in a trial-and-error fashion. The next level of planning involves fine-tuning the regional doses to meet specific clinical requirements. To achieve this, the voxels where doses need to be modified are identified either graphically on the isodose layouts, or on the corresponding dose-volume histogram (DVH) curves. The importance value of these voxels is then adjusted to increase/decrease the penalty at the corresponding regions. The technique is applied to two clinical cases. It was found that both tumor hot spots and critical structure maximal doses can be easily controlled by varying the regional penalty. One to three trials were sufficient for the conventionally optimized dose distributions to be adjusted to meet clinical expectation. Thus introducing the voxel-dependent penalty scheme provides an effective means for IMRT dose distributions painting and sculpting. (C) 2003 American Association of Physicists in Medicine.
引用
收藏
页码:544 / 551
页数:8
相关论文
共 20 条
[1]   METHODS OF IMAGE-RECONSTRUCTION FROM PROJECTIONS APPLIED TO CONFORMATION RADIOTHERAPY [J].
BORTFELD, T ;
BURKELBACH, J ;
BOESECKE, R ;
SCHLEGEL, W .
PHYSICS IN MEDICINE AND BIOLOGY, 1990, 35 (10) :1423-1434
[2]   Optimized radiation therapy based on radiobiological objectives [J].
Brahme, A .
SEMINARS IN RADIATION ONCOLOGY, 1999, 9 (01) :35-47
[3]   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
[4]   Development in a Windows environment of a radiation treatment planning system for personal computers [J].
Cotrutz, C ;
Kappas, C ;
Theodorakos, Y ;
Makris, C ;
Mohan, R .
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 1998, 56 (03) :261-272
[5]   A multiobjective gradient-based dose optimization algorithm for external beam conformal radiotherapy [J].
Cotrutz, C ;
Lahanas, M ;
Kappas, C ;
Baltas, D .
PHYSICS IN MEDICINE AND BIOLOGY, 2001, 46 (08) :2161-2175
[6]   A COMPARISON OF 3 INVERSE TREATMENT PLANNING-ALGORITHMS [J].
HOLMES, T ;
MACKIE, TR .
PHYSICS IN MEDICINE AND BIOLOGY, 1994, 39 (01) :91-106
[7]   CLINICALLY RELEVANT OPTIMIZATION OF 3-D CONFORMAL TREATMENTS [J].
MOHAN, R ;
MAGERAS, GS ;
BALDWIN, B ;
BREWSTER, LJ ;
KUTCHER, GJ ;
LEIBEL, S ;
BURMAN, CM ;
LING, CC ;
FUKS, Z .
MEDICAL PHYSICS, 1992, 19 (04) :933-944
[8]   DOSE-VOLUME CONSIDERATIONS WITH LINEAR-PROGRAMMING OPTIMIZATION [J].
MORRILL, SM ;
LANE, RG ;
WONG, JA ;
ROSEN, II .
MEDICAL PHYSICS, 1991, 18 (06) :1201-1210
[9]   Maximum likelihood as a common computational framework in tomotherapy [J].
Olivera, GH ;
Shepard, DM ;
Reckwerdt, PJ ;
Ruchala, K ;
Zachman, J ;
Fitchard, EE ;
Mackie, TR .
PHYSICS IN MEDICINE AND BIOLOGY, 1998, 43 (11) :3277-3294
[10]   TREATMENT PLAN OPTIMIZATION USING LINEAR-PROGRAMMING [J].
ROSEN, II ;
LANE, RG ;
MORRILL, SM ;
BELLI, JA .
MEDICAL PHYSICS, 1991, 18 (02) :141-152