Cassetta Roberto, Piersimoni Pierluigi, Riboldi Marco, Giacometti Valentina, Bashkirov Vladmir, Baroni Guido, Ordonez Caesar, Coutrakon George, Schulte Reinhard
Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano University, 20133, Milan, Italy.
Department of Biomedical Physics in Radiation Oncology, German Cancer Research Center, 69120, Heidelberg, Germany.
J Appl Clin Med Phys. 2019 Apr;20(4):83-90. doi: 10.1002/acm2.12565. Epub 2019 Apr 1.
Proton CT (pCT) has the ability to reduce inherent uncertainties in proton treatment by directly measuring the relative proton stopping power with respect to water, thereby avoiding the uncertain conversion of X-ray CT Hounsfield unit to relative stopping power and the deleterious effect of X- ray CT artifacts. The purpose of this work was to further evaluate the potential of pCT for pretreatment positioning using experimental pCT data of a head phantom.
The performance of a 3D image registration algorithm was tested with pCT reconstructions of a pediatric head phantom. A planning pCT simulation scan of the phantom was obtained with 200 MeV protons and reconstructed with a 3D filtered back projection (FBP) algorithm followed by iterative reconstruction and a representative pretreatment pCT scan was reconstructed with FBP only to save reconstruction time. The pretreatment pCT scan was rigidly transformed by prescribing random errors with six degrees of freedom or deformed by the deformation field derived from a head and neck cancer patient to the pretreatment pCT reconstruction, respectively. After applying the rigid or deformable image registration algorithm to retrieve the original pCT image before transformation, the accuracy of the registration was assessed. To simulate very low-dose imaging for patient setup, the proton CT images were reconstructed with 100%, 50%, 25%, and 12.5% of the total number of histories of the original planning pCT simulation scan, respectively.
The residual errors in image registration were lower than 1 mm and 1° of magnitude regardless of the anatomic directions and imaging dose. The mean residual errors ranges found for rigid image registration were from -0.29 ± 0.09 to 0.51 ± 0.50 mm for translations and from -0.05 ± 0.13 to 0.08 ± 0.08 degrees for rotations. The percentages of sub-millimetric errors found, for deformable image registration, were between 63.5% and 100%.
This experimental head phantom study demonstrated the potential of low-dose pCT imaging for 3D image registration. Further work is needed to confirm the value pCT for pretreatment image-guided proton therapy.
质子计算机断层扫描(pCT)能够通过直接测量质子相对于水的相对阻止本领来减少质子治疗中固有的不确定性,从而避免将X射线计算机断层扫描(CT)的亨氏单位不确定地转换为相对阻止本领以及X射线CT伪影的有害影响。本研究的目的是利用头部体模的实验性pCT数据进一步评估pCT在预处理定位方面的潜力。
使用儿科头部体模的pCT重建图像测试了一种三维图像配准算法的性能。用200兆电子伏特质子对体模进行计划pCT模拟扫描,并使用三维滤波反投影(FBP)算法重建,随后进行迭代重建;为节省重建时间,仅用FBP重建了一次具有代表性的预处理pCT扫描图像。分别通过规定具有六个自由度的随机误差对预处理pCT扫描图像进行刚性变换,或通过源自一名头颈癌患者的变形场使其变形至预处理pCT重建图像。在应用刚性或可变形图像配准算法以检索变换前的原始pCT图像后,评估配准的准确性。为模拟用于患者摆位的极低剂量成像,分别用原始计划pCT模拟扫描历史总数的100%、50%、25%和12.5%重建质子CT图像。
无论解剖方向和成像剂量如何,图像配准中的残余误差均低于1毫米和1°量级。刚性图像配准的平均残余误差范围为平移时从-0.29±0.09至0.51±0.50毫米,旋转时从-0.05±0.13至0.08±0.08度。对于可变形图像配准,亚毫米误差的百分比在63.5%至100%之间。
这项头部体模实验研究证明了低剂量pCT成像用于三维图像配准的潜力。需要进一步开展工作以确认pCT在预处理图像引导质子治疗中的价值。