Fast optimization and dose calculation in scanned ion beam therapy

被引:7
|
作者
Hild, S. [1 ,2 ,3 ,4 ]
Graeff, C. [5 ]
Trautmann, J. [5 ]
Kraemer, M. [5 ]
Zink, K. [4 ,6 ]
Durante, M. [5 ,7 ]
Bert, C. [2 ,3 ,5 ]
机构
[1] GSI Helmholtzzentrum Schwerionenforsch GmbH, Dept Biophys, D-64291 Darmstadt, Germany
[2] Univ Clin Erlangen, Dept Radiat Oncol, D-91054 Erlangen, Germany
[3] Friedrich Alexander Univ Erlangen Nurnberg FAU, D-91054 Erlangen, Germany
[4] Univ Appl Sci, Inst Med Phys & Radiat Protect, D-35390 Giessen, Germany
[5] GSI Helmholtzzentrum Schwerionenforsch GmbH, Dept Biophys, D-64289 Darmstadt, Germany
[6] Univ Hosp Giessen Marburg, Dept Radiotherapy & Radiooncol, D-35043 Marburg, Germany
[7] Tech Univ Darmstadt, Fac Phys, D-64289 Darmstadt, Germany
关键词
particle therapy; prostate cancer; adaptive treatment planning; fast dose calculation; RADIOTHERAPY; SYSTEM; CT; DESIGN; TUMORS; MODEL;
D O I
10.1118/1.4881522
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
Purpose: Particle therapy (PT) has advantages over photon irradiation on static tumors. An increased biological effectiveness and active target conformal dose shaping are strong arguments for PT. However, the sensitivity to changes of internal geometry complicates the use of PT for moving organs. In case of interfractionally moving objects adaptive radiotherapy (ART) concepts known from intensity modulated radiotherapy (IMRT) can be adopted for PT treatments. One ART strategy is to optimize a new treatment plan based on daily image data directly before a radiation fraction is delivered [treatment replanning (TRP)]. Optimizing treatment plans for PT using a scanned beam is a time consuming problem especially for particles other than protons where the biological effective dose has to be calculated. For the purpose of TRP, fast optimization and fast dose calculation have been implemented into the GSI in-house treatment planning system (TPS) TRiP98. Methods: This work reports about the outcome of a code analysis that resulted in optimization of the calculation processes as well as implementation of routines supporting parallel execution of the code. To benchmark the new features, the calculation time for therapy treatment planning has been studied. Results: Compared to the original version of the TPS, calculation times for treatment planning (optimization and dose calculation) have been improved by a factor of 10 with code optimization. The parallelization of the TPS resulted in a speedup factor of 12 and 5.5 for the original version and the code optimized version, respectively. Hence the total speedup of the new implementation of the authors' TPS yielded speedup factors up to 55. Conclusions: The improved TPS is capable of completing treatment planning for ion beam therapy of a prostate irradiation considering organs at risk in this has been overseen in the review process. Also see below 6 min. (C) 2014 American Association of Physicists in Medicine.
引用
收藏
页数:7
相关论文
共 50 条
  • [31] Quality assurance for a treatment planning system in scanned ion beam therapy
    Jäkel, O
    Hartmann, GH
    Karger, CP
    Heeg, P
    Rassow, J
    MEDICAL PHYSICS, 2000, 27 (07) : 1588 - 1600
  • [32] Fast semi-analytical algorithm for pencil beam dose distributions in ion therapy
    Hollmark, M
    Gudowska, L
    Belkic, D
    Brahme, A
    RADIOTHERAPY AND ONCOLOGY, 2004, 73 : S319 - S320
  • [33] A 4D dose computation method to investigate motion interplay effects in scanned ion beam prostate therapy
    Ammazzalorso, F.
    Jelen, U.
    PHYSICS IN MEDICINE AND BIOLOGY, 2014, 59 (11): : N91 - N99
  • [34] The effects of dose calculation accuracy on beam angle optimization
    Yu, C
    Earl, M
    Shepard, D
    MEDICAL PHYSICS, 2002, 29 (06) : 1258 - 1258
  • [35] Development and benchmarking of the first fast Monte Carlo engine for helium ion beam dose calculation: MonteRay
    Lysakovski, Peter
    Besuglow, Judith
    Kopp, Benedikt
    Mein, Stewart
    Tessonnier, Thomas
    Ferrari, Alfredo
    Haberer, Thomas
    Debus, Juergen
    Mairani, Andrea
    MEDICAL PHYSICS, 2023, 50 (04) : 2510 - 2524
  • [36] The GATE-RTion/IDEAL Independent Dose Calculation System for Light Ion Beam Therapy
    Grevillot, L.
    Boersma, D. J.
    Fuchs, H.
    Bolsa-Ferruz, M.
    Scheuchenpflug, L.
    Georg, D.
    Kronreif, G.
    Stock, M.
    FRONTIERS IN PHYSICS, 2021, 9
  • [37] Comparison of different detectors regarding the determination of beam width in scanned ion-beam therapy
    Lahrmann, S.
    Ackermann, B.
    Brons, S.
    Haberer, T.
    Horn, J.
    Latzel, H.
    Naumann, J.
    Peters, A.
    Schreiner, J.
    Jaekel, O.
    RADIOTHERAPY AND ONCOLOGY, 2015, 115 : S741 - S741
  • [38] Optimization algorithm for overlapping-field plans of scanned ion beam therapy with reduced sensitivity to range and setup uncertainties
    Inaniwa, Taku
    Kanematsu, Nobuyuki
    Furukawa, Takuji
    Noda, Koji
    PHYSICS IN MEDICINE AND BIOLOGY, 2011, 56 (06): : 1653 - 1669
  • [39] Fast Monte Carlo dose calculation in proton therapy
    Holmes, Jason
    Feng, Hongying
    Zhang, Lian
    Fix, Michael K.
    Jiang, Steve B.
    Liu, Wei
    PHYSICS IN MEDICINE AND BIOLOGY, 2024, 69 (17):
  • [40] A COMPUTER APPROACH TO DOSE CALCULATION FOR SUPPLEMENTARY BEAM THERAPY
    JAMESON, DG
    TREVELYAN, A
    BRITISH JOURNAL OF RADIOLOGY, 1969, 42 (493): : 57 - +