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Volumn 31, Issue 5, 2004, Pages 1158-1165

A new smoothing procedure to reduce delivery segments for static MLC-based IMRT planning

Author keywords

[No Author keywords available]

Indexed keywords

COST FUNCTIONS; DISEASES; SIMULATED ANNEALING;

EID: 2442656579     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.1713279     Document Type: Article
Times cited : (38)

References (12)
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  • 2
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  • 3
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    • Inverse planning with constraints to generate smoothed intensity-modulated beams
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    • Webb, S.1    Convery, D.J.2    Evans, P.M.3
  • 4
    • 0037036519 scopus 로고    scopus 로고
    • The use of mixed-integer programming for inverse treatment planning with pre-defined field segments
    • G. Bednarz, D. Michalski, C. Houser, M. S. Huq, Y. Xiao, P. R. Anne, and J. M. Galvin, "The use of mixed-integer programming for inverse treatment planning with pre-defined field segments," Phys. Med. Biol. 47, 2235-2245 (2002).
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  • 5
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    • (2002) Med. Phys. , vol.29 , pp. 1007-1018
    • Shepard, D.M.1    Earl, M.A.2    Li, X.A.3    Naqvi, S.4    Yu, C.5
  • 6
    • 0031868367 scopus 로고    scopus 로고
    • Multileaf collimator leaf sequencing algorithm for intensity modulated beams with multiple static segments
    • P. Xia and L. J. Verhey, "Multileaf collimator leaf sequencing algorithm for intensity modulated beams with multiple static segments," Med. Phys. 25, 1424-1434 (1998).
    • (1998) Med. Phys. , vol.25 , pp. 1424-1434
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  • 7
    • 0034985156 scopus 로고    scopus 로고
    • Inverse planning algorithms for external beam radiation therapy
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  • 8
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    • T. Bortfeld, "Optimized planning using physical objectives and constraints," Semin Radiat. Oncol. 9, 20-34 (1999).
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  • 9
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    • Application of constrained least-squares techniques to IMRT treatment planning
    • S. M. Crooks and L. Xing, "Application of constrained least-squares techniques to IMRT treatment planning," Int. J. Radiat. Oncol., Biol., Phys. 54, 1217-1224 (2002).
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  • 11
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  • 12
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    • NOMOS Corporation, Cranberry, PA
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.