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3D Absorbed Dose Reconstructed in the Patient from EPID Images for IMRT and VMAT Treatments

机译:3D吸收的剂量在患者中重建来自EPID图像的IMRT和VMAT治疗

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A back-projection method has been used in this study to reconstruct the 3D absorbed dose matrix in the patient from EPID images for IMRT and VMAT fields. Images were acquired with the Clinac 23iX aS-1000 imager (Varian) and a 6 MV beam. Then a calibration step was performed to transform the grey levels of the pixels into absorbed dose in water via a response function. Correction kernels were also used to correct for the scatter within the EPID. The dose was then back-projected into the patient for all EPID parallel planes for each gantry angle. Finally the total dose was obtained by summing the 3D dose associated for each gantry angulation. First, the 3D dose reconstruction algorithm was tested for 20 IMRT and VMAT prostate and head and neck treatments in a homogeneous cylindrical phantom. Then the algorithm was used for IMRT brain cancer plans on 20 real patients. The EPID reconstructed 3D dose distributions were then compared to the planned dose from TPS (Treatment Planning System, Eclipse Varian) with a 3D global gamma index of 3% and 3 mm criteria. The percentage of points of which the gamma index was larger than unity was greater than 97% for all IMRT treatments both in the phantom and in the patients and over 96% for all VMAT treatments checked in the cylindrical phantom. Our 3D reconstruction algorithm, validated for homogeneous medium, can be used to verify the dose distribution for IMRT and VMAT fields using in vivo EPID images.
机译:反投影方法已在本研究中被用来重建3D中从EPID图像用于IMRT和VMAT字段患者吸收剂量矩阵。图像用的Clinac 23iX AS-1000成像仪(瓦里安)和6 MV束获得的。然后进行校准步骤通过一个响应函数的像素的灰度级转换成吸收剂量于水中。更正内核也用于正确的EPID内分散。剂量然后背投影到患者为每个机架角度所有EPID平行平面内。最后,通过相加每个龙门角相关联的3D剂量获得的总剂量。首先,3D剂量重建算法进行20 IMRT和VMAT前列腺癌和头颈癌的治疗在均相圆柱形幻象测试。然后,用20名真正的病人IMRT脑癌计划的算法。所述EPID重建的3D剂量分布相比较,然后从TPS(治疗计划系统时,Eclipse瓦里安)的计划的剂量为3%和3mm标准三维全局伽马指数。点的其中的伽马指数为大于一的比例为两个在体模,并在患者和超过96%的所有治疗VMAT在圆柱形幻象检查了所有IMRT治疗大于97%。我们的3D重建算法,验证为均匀介质,可用于验证使用体内图像EPID IMRT和VMAT字段剂量分布。

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