Monte Carlo as a four-dimensional radiotherapy treatment-planning tool to account for respiratory motion

被引:74
作者
Keall, PJ
Siebers, JV
Joshi, S
Mohan, R
机构
[1] Virginia Commonwealth Univ, Dept Radiat Oncol, Richmond, VA 23298 USA
[2] Univ N Carolina, Chapel Hill, NC USA
[3] Univ Texas, MD Anderson Canc Ctr, Houston, TX 77030 USA
关键词
D O I
10.1088/0031-9155/49/16/011
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Four-dimensional (4D) radiotherapy is the explicit inclusion of the temporal changes in anatomy during the imaging, planning and delivery of radiotherapy. Temporal anatomic changes can occur for many reasons, though the focus of the current investigation was respiration motion for lung tumours. The aims of the current research were first to develop a 4D Monte Carlo methodology and second to apply this technique to an existing 4D treatment plan. A 4D CT scan consisting of a series of 3D CT image sets acquired at different respiratory phases was used. Deformable image registration was performed to map each CT set from the end-inhale respiration phase to the CT image sets corresponding with subsequent respiration phases. This deformable registration allowed the contours drawn on the end-inhale CT to be automatically drawn on the other respiratory phase CT image sets. A treatment plan was created on the end-inhale CT image set and then automatically created on each of the 3D CT image sets corresponding with subsequent respiration phases, based on the beam arrangement and dose prescription in the end-inhale plan. Dose calculation using Monte Carlo was simultaneously performed on each of the N (=8) 3D image sets with I IN fewer particles per calculation than for a 3D plan. The dose distribution from each respiratory phase CT image set was mapped back to the end-inhale CT image set for analysis. This use of deformable image registration to merge all the statistically noisy dose distributions back onto one CT image set effectively yielded a 4D Monte Carlo calculation with a statistical uncertainty equivalent to a 3D calculation, with a similar calculation time for the 3D and 4D methods. Monte Carlo as a dose calculation tool for 4D radiotherapy planning has two advantages: (1) higher accuracy for calculation in electronic disequilibrium conditions, such as those encountered during lung radiotherapy, and (2) if deformable image registration is used, the calculation time for Monte Carlo is independent of the number of 3D CT image sets constituting a 4D CT, unlike other algorithms for which the calculation time scales linearly with the number of 3D CT image sets constituting a 4D CT.
引用
收藏
页码:3639 / 3648
页数:10
相关论文
共 64 条
[1]  
[Anonymous], 1993, 50 ICRU
[2]  
[Anonymous], 1999, 62 ICRU
[3]   Effects of intra-fraction motion on IMRT dose delivery: statistical analysis and simulation [J].
Bortfeld, T ;
Jokivarsi, K ;
Goitein, M ;
Kung, J ;
Jiang, SB .
PHYSICS IN MEDICINE AND BIOLOGY, 2002, 47 (13) :2203-2220
[4]  
Briesmeister JF, 1997, LA13181 LOS AL NAT L
[5]   Volumetric transformation of brain anatomy [J].
Christensen, GE ;
Joshi, SC ;
Miller, MI .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1997, 16 (06) :864-877
[6]   Image-based dose planning of intracavitary brachytherapy: Registration of serial-imaging studies using deformable anatomic templates [J].
Christensen, GE ;
Carlson, B ;
Chao, KSC ;
Yin, P ;
Grigsby, PW ;
Nguyen, K ;
Dempsey, JF ;
Lerma, FA ;
Bae, KT ;
Vannier, MW ;
Williamson, JF .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2001, 51 (01) :227-243
[7]   Deformable templates using large deformation kinematics [J].
Christensen, GE ;
Rabbitt, RD ;
Miller, MI .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 1996, 5 (10) :1435-1447
[8]   The effects of intra-fraction organ motion on the delivery of intensity-modulated field with a multileaf collimator [J].
Chui, CS ;
Yorke, E ;
Hong, L .
MEDICAL PHYSICS, 2003, 30 (07) :1736-1746
[9]   Denoising of electron beam Monte Carlo dose distributions using digital filtering techniques [J].
Deasy, JO .
PHYSICS IN MEDICINE AND BIOLOGY, 2000, 45 (07) :1765-1779
[10]   Accelerating Monte Carlo simulations of radiation therapy dose distributions using wavelet threshold de-noising [J].
Deasy, JO ;
Wickerhauser, MV ;
Picard, M .
MEDICAL PHYSICS, 2002, 29 (10) :2366-2373