Full Monte Carlo-Based Biologic Treatment Plan Optimization System for Intensity Modulated Carbon Ion Therapy on Graphics Processing Unit.
Purpose: One of the major benefits of carbon ion therapy is enhanced biological effectiveness at the Bragg peak region. For intensity modulated carbon ion therapy (IMCT), it is desirable to use Monte Carlo (MC) methods to compute the properties of each pencil beam spot for treatment planning, becaus...
| Published in: | International Journal of Radiation Oncology, Biology, Physics Vol. 100; no. 1; pp. 235 - 244 |
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| Main Authors: | , , , , , , , , , |
| Format: | research Journal Article |
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Pergamon Press - An Imprint of Elsevier Science
Jan2018
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=126559106&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 126559106 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03603016 1ZQ jtl: International Journal of Radiation Oncology, Biology, Physics issn: 03603016 maglogo: N pubinfo: dt: Jan2018 vid: 100 iid: 1 pid: 2410 pub: Pergamon Press - An Imprint of Elsevier Science artinfo: ui: 126559106 126559106 NLM29079118 126559106 10.1016/j.ijrobp.2017.09.002 NLM29079118 126559106 ppf: 235 ppct: 9 formats: tig: atl: Full Monte Carlo-Based Biologic Treatment Plan Optimization System for Intensity Modulated Carbon Ion Therapy on Graphics Processing Unit. aug: au: Qin, Nan Shen, Chenyang Tian, Zhen Pompos, Arnold Jiang, Steve B. Jia, Xun Tsai, Min-Yu Pinto, Marco Dedes, Georgios Parodi, Katia affil: Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas sug: subj: Radiotherapy, Computer-Assisted Methods Radiotherapy, Conformal Methods Radiotherapy Methods Systems Analysis Therapeutics Methods Radiation Dosage Male Radiotherapy, Conformal Standards Radiotherapy, Computer-Assisted Standards Body Regions Radiotherapy Standards Linear Regression Therapeutics Standards User-Computer Interface Pancreatic Neoplasms Pancreatic Neoplasms Radiotherapy Prostatic Neoplasms Radiotherapy Algorithms Prostatic Neoplasms Human Funding Source Male ab: Purpose: One of the major benefits of carbon ion therapy is enhanced biological effectiveness at the Bragg peak region. For intensity modulated carbon ion therapy (IMCT), it is desirable to use Monte Carlo (MC) methods to compute the properties of each pencil beam spot for treatment planning, because of their accuracy in modeling physics processes and estimating biological effects. We previously developed goCMC, a graphics processing unit (GPU)-oriented MC engine for carbon ion therapy. The purpose of the present study was to build a biological treatment plan optimization system using goCMC.Methods and Materials: The repair-misrepair-fixation model was implemented to compute the spatial distribution of linear-quadratic model parameters for each spot. A treatment plan optimization module was developed to minimize the difference between the prescribed and actual biological effect. We used a gradient-based algorithm to solve the optimization problem. The system was embedded in the Varian Eclipse treatment planning system under a client-server architecture to achieve a user-friendly planning environment. We tested the system with a 1-dimensional homogeneous water case and 3 3-dimensional patient cases.Results: Our system generated treatment plans with biological spread-out Bragg peaks covering the targeted regions and sparing critical structures. Using 4 NVidia GTX 1080 GPUs, the total computation time, including spot simulation, optimization, and final dose calculation, was 0.6 hour for the prostate case (8282 spots), 0.2 hour for the pancreas case (3795 spots), and 0.3 hour for the brain case (6724 spots). The computation time was dominated by MC spot simulation.Conclusions: We built a biological treatment plan optimization system for IMCT that performs simulations using a fast MC engine, goCMC. To the best of our knowledge, this is the first time that full MC-based IMCT inverse planning has been achieved in a clinically viable time frame. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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