Development of a Calorimeter for Clinical Proton Therapy Beams

Development of a Calorimeter for Clinical Proton Therapy Beams
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临床质子治疗束量热计的开发

DOI:
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发表时间:
2017
期刊:
影响因子:
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通讯作者:
H. F. Wong
H. F. Wong
中科院分区:
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文献类型:
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作者:
H. F. Wong

文献摘要

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质子治疗是传统X射线放射治疗癌症的一种有前途的替代方法,特别是在深度和接近关键结构的区域。质子治疗的一致性使得深度剂量计算至关重要,以免错误计算导致错过靶体积,特别是在远端边缘。X射线计算机断层扫描被用作测量通过患者的光子吸收以进行常规放射治疗,但是光子和带电粒子相互作用的不同性质可能导致范围计算误差。假设质子具有足够高的能量以穿过被成像的体积,则可以使用质子而不是光子来对患者进行成像。这就要求能够以良好的分辨率确定质子在通过体积后的路径和剩余能量。最初为SuperNEMO热量计开发的光学模块显示出临床应用的潜力,并正在被改造为质子热量计。本报告介绍了研究,以提高这些模块的能量分辨率,以期使用它们的质子为基础的三维断层扫描。本报告介绍了研究,以提高这些模块的能量分辨率,以期使用它们的质子为基础的三维断层扫描。脉冲形状分析和应用χ^2滤波器的目的是减少记录波形数据中的堆积事件。虽然拟合是成功的,但它并没有导致任何研究数据集的能量分辨率显著提高。
Proton therapy is a promising alternative to conventional X-ray radiotherapy in the treatment of cancer, particularly in regions at depth and close to critical structures. The conformity of proton therapy makes depth-dose calculations crucial, lest miscalculations lead to missing the target volume, especially at distal edges. X-ray computed tomography is used as a measure of absorption of photons through a patient for conventional radiotherapy, but the differing natures of photon and charged particle interaction can result in range calculation errors. Provided protons are of high enough energy to pass through the volume being imaged, it is possible to image the patient using protons rather than photons. This requires that the path and residual energy of the protons after passing through a volume can be determined with good resolution. An optical module developed initially for the SuperNEMO calorimeter shows potential for clinical applications and is being adapted for use as a proton calorimeter. This report describes studies to characterise the energy resolution of these modules with a view to using them for proton-based 3D tomography. This report describes studies to characterise the energy resolution of these modules with a view to using them for proton-based 3D tomography. Pulse-shape analysis and application of χ^2 filters were used with the aim of reducing pile-up events in recorded waveform data. While the fitting was successful, it did not result in a significantly improved energy resolution for any of the datasets investigated.