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
  • [11] Feature-based plan adaptation for fast treatment planning in scanned ion beam therapy
    Chen, Wenjing
    Gemmel, Alexander
    Rietzel, Eike
    PHYSICS IN MEDICINE AND BIOLOGY, 2013, 58 (04): : 1013 - 1025
  • [12] Searching for optimized selection of Monte Carlo dose calculation parameters for scanned beam proton therapy in RayStation
    Kim, Heejung
    Chung, Kwangzoo
    Han, Youngyih
    Park, Won
    Park, Hee Chul
    Lim, Do Hoon
    Choi, Doo Ho
    JOURNAL OF THE KOREAN PHYSICAL SOCIETY, 2023, 83 (07) : 572 - 580
  • [13] Fast spot order optimization to increase dose rates in scanned particle therapy FLASH treatments
    Wase, Viktor
    Widenfalk, Oscar
    Nilsson, Rasmus
    Falth, Claes
    Fredriksson, Albin
    PHYSICS IN MEDICINE AND BIOLOGY, 2025, 70 (02):
  • [14] Management of organ motion in scanned ion beam therapy
    Christoph Bert
    Klaus Herfarth
    Radiation Oncology, 12
  • [15] Searching for optimized selection of Monte Carlo dose calculation parameters for scanned beam proton therapy in RayStation
    Heejung Kim
    Kwangzoo Chung
    Youngyih Han
    Won Park
    Hee Chul Park
    Do Hoon Lim
    Doo Ho Choi
    Journal of the Korean Physical Society, 2023, 83 : 572 - 580
  • [16] Management of organ motion in scanned ion beam therapy
    Bert, Christoph
    Herfarth, Klaus
    RADIATION ONCOLOGY, 2017, 12
  • [17] Adjustment procedure for beam alignment in scanned ion-beam therapy
    Saraya, Y.
    Takeshita, E.
    Furukawa, T.
    Hara, Y.
    Mizushima, K.
    Saotome, N.
    Tansho, R.
    Shirai, T.
    Noda, K.
    JOURNAL OF THE KOREAN PHYSICAL SOCIETY, 2016, 69 (06) : 948 - 952
  • [18] Adjustment procedure for beam alignment in scanned ion-beam therapy
    Y. Saraya
    E. Takeshita
    T. Furukawa
    Y. Hara
    K. Mizushima
    N. Saotome
    R. Tansho
    T. Shirai
    K. Noda
    Journal of the Korean Physical Society, 2016, 69 : 948 - 952
  • [19] Four-Dimensional Patient Dose Reconstruction for Scanned Ion Beam Therapy of Moving Liver Tumors
    Richter, Daniel
    Saito, Nami
    Chaudhri, Naved
    Haertig, Martin
    Ellerbrock, Malte
    Jaekel, Oliver
    Combs, Stephanie E.
    Habermehl, Daniel
    Herfarth, Klaus
    Durante, Marco
    Bert, Christoph
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2014, 89 (01): : 175 - 181
  • [20] MITIGATION OF RESIDUAL MOTION EFFECTS IN SCANNED ION BEAM THERAPY
    Richter, D.
    Steidl, P.
    Trautmann, J.
    Schwarzkopf, A.
    Kraemer, M.
    Gemmel, A.
    Naumann, J.
    Panse, R.
    Saito, N.
    Jaekel, O.
    Durante, M.
    Bert, C.
    RADIOTHERAPY AND ONCOLOGY, 2010, 96 : S72 - S73