Monte Carlo based modulated electron beam treatment planning using a few-leaf electron collimator - Feasibility study

Physics in Medicine and Biology

Volumn 50, Issue 5, 2005, Pages 847-857

  Al Yahya, Khalid ^a   Hristov, Dimitre ^b   Verhaegen, Frank ^a   Seuntjens, Jan ^a  

^a MCGILL UNIVERSITY   (Canada)

^b SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; MODULATION; MONTE CARLO METHODS; OPTICAL COLLIMATORS; OPTIMIZATION; PARTICLE ACCELERATORS; PATIENT TREATMENT; RISK MANAGEMENT;

ARTIFICIAL TARGETS; DOSE DISTRIBUTION; FEW-LEAF ELECTRON COLLIMATORS (FLEC); ORGANS AT RISK (OAR);

ELECTRON BEAMS;

WATER;

ALGORITHM; CANCER RADIOTHERAPY; COLLIMATOR; CONFERENCE PAPER; ELECTRON; ELECTRON BEAM; ENERGY; FEW LEAF ELECTRON COLLIMATOR; HEAD AND NECK TUMOR; MONTE CARLO METHOD; PHANTOM; PHOTON; PRIORITY JOURNAL; TREATMENT PLANNING;

EID: 16444376943     PISSN: 00319155     EISSN: None     Source Type: Journal    
DOI: 10.1088/0031-9155/50/5/009     Document Type: Conference Paper

References (14)

1. Bielajew A F, Rogers D W O, Cygler J and Battista J J 1987 A comparison of electron pencil beam and Monte Carlo calculational methods The Use of Computers in Radiation Therapy ed I A D Bruinvis (Amsterdam: Elsevier)
2. Fippel M 1999 Fast Monte Carlo dose calculation for photon beams based on VMC electron algorithm Med. Phys. 26 1466-75
3. Hogstrom K R, Boyd R A, Antolak J A, Svatos M M, Faddegon B A and Rosenman J G 2004 Dosimetry of a prototype retractable eMLC for fixed-beam electron therapy Med. Phys. 31 443-62
4. Hristov D, Stavrev P, Sham E and Fallone B G 2002 On the implementation of dose-volume objectives in gradient algorithms for inverse treatment planning Med. Phys. 29 845-56
5. Kawrakow I and Fippel M 2000 Investigation of variance reduction techniques for Monte Carlo photon dose calculation using XVMC Phys. Med. Biol. 45 2163-83
6. Kawrakow I, Fippel M and Friedrich K 1996 3D electron dose calculation using a voxel based Monte Carlo algorithm Med. Phys. 23 445-57
7. Lee M C, Jiang S B, Deng J, Li J S and Ma C-M 2001 Monte Carlo-based treatment planning for modulated electron beam radiation therapy Phys. Med. Biol. 46 2177-99
8. Lee M C, Jiang S B and Ma C-M 2000 Monte Carlo and experimental investigations of multileaf collimated electron beams for modulated electron radiotherapy Med. Phys. 27 2708-18
9. Ma C M, Ding M, Li J S, Lee M C, Pawlicki T and Deng J 2003 A comparative dosimetric study on tangential photon beams, intensity modulated radiation therapy (IMRT) and modulated electron radiotherapy (MERT) for breast cancer treatment Phys. Med. Biol. 48 909-24
10. Ma C M, Faddegon B A, Rogers D W O and Mackie T R 1997 Accurate characterization of Monte Carlo calculated electron beams for radiotherapy Med. Phys. 24 401-6
11. Ma C M, Pawlicki T, Lee M C, Jiang S B, Li J S, Deng J, Yi B, Mok E and Boyer A L 2000 Energy- and intensity-modulated electron beam radiotherapy for breast cancer Phys. Med. Biol. 45 2947-67
12. Ravindran B P, Singh R R, Brindha S and Sathyan S 2002 Manual multi-leaf collimator for electron beam shaping-a feasibility study Phys. Med. Biol. 47 4389-96
13. Rogers D W O, Faddegon B A, Ding G X, Ma C M, We J and Mackie T R 1995 BEAM: a Monte Carlo code to simulate radiotherapy treatment units Med. Phys. 22 503-24
14. Sait S M and Youssef H 1999 Iterative Computer Algorithms with Applications in Engineering: Solving Combinatorial Optimization Problems (Los Alamitos, CA: Angela Burgess)