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在笔形束扫描模式下能量分辨剂量成像技术的可行性。

Feasibility of energy-resolved dose imaging technique in pencil beam scanning mode.

机构信息

Department of Physics, Central University of Karnataka, Kalaburgi, Karnataka, India.

University of Maryland School of Medicine, Proton Therapy Cancer Treatment Center, United States of America.

出版信息

Biomed Phys Eng Express. 2020 Sep 29;6(6). doi: 10.1088/2057-1976/abb4ed.

Abstract

Proton energy-resolved dose imaging (pERDI) is a recently proposed technique to generate water equivalent path length (WEPL) images using a single detector. Owing to its simplicity in instrumentation, analysis and the possibility of using the in-room x-ray flat panels as detectors, this technique offers a promising avenue towards a clinically usable imaging system for proton therapy using scanned beams. The purpose of this study is to estimate the achievable accuracy in WEPL and Relative Stopping Power (RSP) using the pERDI technique and to assess the minimum dose required to achieve such accuracy. The novelty of this study is the first demonstration of the feasibility of pERDI technique in the pencil beam scanning (PBS) mode.A solid water wedge was placed in front of a 2D detector (Lynx). A library of energy-resolved dose functions (ERDF) was generated from the dose deposited in the detector by 50 PBS layers of energy varying from 100 MeV to 225 MeV. This set-up is further used to image the following configurations using the pERDI technique: stair-case shaped solid water phantom (configuration 1), electron density phantom (configuration 2) and head phantom (configuration 3). The result from configuration 1 was used to determine the achievable WEPL accuracy. The result from configuration 2 was used to estimate the relative uncertainty in RSP. Configuration 3 was used to evaluate the effect of range mixing on the WEPL. In all three cases, the variation of the accuracy with respect to dose, by varying the number of scanning layers, was also studied.An accuracy of 1 mm in WEPL was achieved using the Lynx detector with an imaging field of 10 PBS layers or more, which is equivalent to a total dose of 5 cGy. The RSP is measured with a precision better than 2% for all homogeneous inserts of tissue surrogates. The pERDI technique failed for tissues surrogates with total WEPL outside the calibration window (WEPL < 70 mm) like in the case of lung exhale and lung inhale. The imaging of an anthropomorphic head phantom, in the same condition, produced a WEPL radiograph and compared to the WEPL derived from CT using gamma index analysis. The gamma index failed in the heterogeneous areas due to range mixing.The pERDI technique is a promising clinically usable imaging modality for reducing range uncertainties and set-up errors in proton therapy. The first results have demonstrated that WEPL and RSP can be estimated with clinically acceptable accuracy using the Lynx detector. Similar accuracy is also expected with in-room flat-panel detectors but at significantly reduced imaging dose. Though the issue of range mixing is still to be addressed, we expect that a statistical moment analysis of the ERDFs can be implemented to filter out the regions with high gradient of range mixing.

摘要

质子能量分辨剂量成象(pERDI)是一种最近提出的技术,可使用单个探测器生成水当量路径长度(WEPL)图像。由于其在仪器、分析方面的简单性以及在室内使用 X 射线平板探测器作为探测器的可能性,该技术为使用扫描束的质子治疗开发临床可用的成像系统提供了有希望的途径。本研究的目的是使用 pERDI 技术估计 WEPL 和相对阻止本领(RSP)的可实现精度,并评估达到该精度所需的最小剂量。本研究的新颖之处在于首次展示了 pERDI 技术在铅笔束扫描(PBS)模式下的可行性。在二维探测器(Lynx)前放置一个固体水楔。通过 50 层 PBS 层沉积在探测器中的剂量,生成能量分辨剂量函数(ERDF)库,能量从 100 MeV 到 225 MeV 不等。在此设置中,进一步使用 pERDI 技术对以下配置进行成像:阶梯状固体水体模(配置 1)、电子密度体模(配置 2)和头部体模(配置 3)。从配置 1 获得的结果用于确定可实现的 WEPL 精度。从配置 2 获得的结果用于估计 RSP 的相对不确定度。配置 3 用于评估射程混合对 WEPL 的影响。在所有三种情况下,还研究了通过改变扫描层的数量来研究剂量与精度之间的变化关系。使用 Lynx 探测器,在 10 个 PBS 层或更多的成像场中,可实现 WEPL 精度达到 1 毫米,这相当于 5 cGy 的总剂量。对于所有同质组织替代物的插入物,RSP 的测量精度均优于 2%。对于总 WEPL 超出校准窗口(WEPL <70mm)的组织替代物,如肺呼气和肺吸气,pERDI 技术无法成像。在相同条件下对拟人头部体模进行成像,生成 WEPL 射线照片,并使用伽马指数分析与 CT 得出的 WEPL 进行比较。由于射程混合,在不均匀区域中伽马指数失败。pERDI 技术是一种有前途的临床可用成像方式,可用于降低质子治疗中的射程不确定性和设置误差。初步结果表明,使用 Lynx 探测器可以以临床可接受的精度估计 WEPL 和 RSP。在室内平板探测器中也可以获得类似的精度,但成像剂量大大降低。尽管射程混合问题仍有待解决,但我们期望可以实施 ERDF 的统计矩分析,以过滤出射程混合梯度较高的区域。

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