Evaluation of CBCT scatter correction using deep convolutional neural networks for head and neck adaptive proton therapy.
Evaluation of CBCT scatter correction using deep convolutional neural networks for head and neck adaptive proton therapy.
复制标题
使用深度卷积神经网络对 CBCT 散射校正进行头颈部自适应质子治疗的评估。
DOI：
10.1088/1361-6560/ab9fcb
复制
发表时间：
2020-12-04
影响因子：
3.5
通讯作者：
Sharp GC
中科院分区：
文献类型：
--
作者：
Lalonde A;Winey B;Verburg J;Paganetti H;Sharp GC
自适应质子治疗（APT）是治疗头颈部肿瘤的一种很有前途的方法。APT的一个关键要素是患者在治疗位置的每日体积成像。这种数据可以用锥形束计算机断层扫描（CBCT）采集，尽管散射伪影使未校正的CBCT图像不适合质子治疗剂量计算。这项工作的目的是评估U形深卷积神经网络（U-Net）的性能，以执行基于投影的散射校正，并在头部和颈部APT的背景下对CBCT图像进行快速准确的剂量计算。使用GPU加速的Monte Carlo（MC）代码模拟了48名头颈部患者的CBCT投影。训练U-Net以从原始投影再现基于MC投影的散射校正。使用CT和CBCT图像的拟人头部模型的散射校正的准确性进行实验评估。通过比较无散射、未校正和散射校正CBCT图像上计算的质子治疗剂量分布，评估了该方法用于头颈部APT的潜力。最后，剂量计算精度估计实验患者图像使用以前验证的经验散射校正作为参考。无散射和散射校正图像之间的平均和平均绝对HU差分别为-0.8和13.4 HU，而未校正图像的平均和平均绝对HU差分别为-28.6和69.6 HU。在头部体模中，在参考CT和校正CBCT中计算的质子范围的均方根差为0.73 mm。在无散射图像中优化并在散射校正图像中重新计算的质子治疗计划的平均2%/2 mm伽马通过率为98.89%。在实验CBCT患者图像中，所提出的方法和参考方法之间的3%/3 mm通过率达到98.72%。所有CBCT投影体积均能在5秒内校正。
Adaptive proton therapy (APT) is a promising approach for the treatment of head and neck cancers. One crucial element of APT is daily volumetric imaging of the patient in the treatment position. Such data can be acquired with cone-beam computed tomography (CBCT), although scatter artifacts make uncorrected CBCT images unsuitable for proton therapy dose calculation. The purpose of this work is to evaluate the performance of a U-shape deep convolutive neural network (U-Net) to perform projection-based scatter correction and enable fast and accurate dose calculation on CBCT images in the context of head and neck APT. CBCT projections are simulated for a cohort of 48 head and neck patients using a GPU accelerated Monte Carlo (MC) code. A U-Net is trained to reproduce MC projection-based scatter correction from raw projections. The accuracy of the scatter correction is experimentally evaluated using CT and CBCT images of an anthropomorphic head phantom. The potential of the method for head and neck APT is assessed by comparing proton therapy dose distributions calculated on scatter-free, uncorrected and scatter-corrected CBCT images. Finally, dose calculation accuracy is estimated in experimental patient images using a previously validated empirical scatter correction as reference. The mean and mean absolute HU differences between scatter-free and scatter-corrected images are −0.8 and 13.4 HU, compared to −28.6 and 69.6 HU for the uncorrected images. In the head phantom, the root-mean square difference of proton ranges calculated in the reference CT and corrected CBCT is 0.73 mm. The average 2%/2 mm gamma pass rate for proton therapy plans optimized in the scatter free images and re-calculated in the scatter-corrected ones is 98.89%. In experimental CBCT patient images, a 3%/3 mm passing rate of 98.72% is achieved between the proposed method and the reference one. All CBCT projection volume could be corrected in less than 5 seconds.
登录
查看更多内容
影响因子：
3.8
作者：
Harms J;Lei Y;Wang T;Zhang R;Zhou J;Tang X;Curran WJ;Liu T;Yang X
通讯作者：
Yang X
影响因子：
3.1
作者：
Nenoff, Lena;Matter, Michael;Albertini, Francesca
通讯作者：
Albertini, Francesca
影响因子：
3.5
作者：
Kurz, Christopher;Maspero, Matteo;van den Berg, Cornelis A. T.
通讯作者：
van den Berg, Cornelis A. T.
影响因子：
3.5
作者：
Botas, P.;Kim, J.;Paganetti, H.
通讯作者：
Paganetti, H.
影响因子：
3.5
作者：
Kyriakou, Yiannis;Kalender, Willi
通讯作者：
Kalender, Willi