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Research on pseudo-CT imaging technique based on an ultrasound deformation field with binary mask in radiotherapy

机译:基于二元掩模超声变形场的放射治疗伪CT成像技术研究

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摘要

This study aimed to investigate the reliability of pseudo-computed tomography (pseudo-CT) imaging based on ultrasound (US) deformation fields under different binary masks in radiotherapy.We used 3-dimensional (3D) CT and US images, including those acquired during CT simulation positioning, and cone-beam CT (CBCT) and US images acquired 1 week after treating 3 patients with cervical cancer. Image data of 3 different layers were selected from the US images, and 3D CT images of each patient were selected. For US image registration, the following were created and applied: binary masks of the region of interest overlapping (ROIO) between the US image based on simulation positioning and US image for positioning verification, region of interest (ROI), whole overlapping (wholeO), and whole imaging region (whole). Accordingly, the deformation field was obtained and applied to CT images (CTsim), and different pseudo-CT images were acquired. Similarities between the pseudo-CT and CBCT images were compared, and registration accuracies between pseudo-CT images under different binary masks and CTsim were compared and discussed.A pair t test was conducted to normalized mutual information values of the registration accuracy between the pseudo-CT image based on ROIO binary mask and CTsim with other methods (P < .05), and the difference was statistically significant. A pair t test of normalized gray mean-squared errors was also performed (P < .05), and the difference was statistically significant. The similarity function means between pseudo-CT, that is, based on ROIO, ROI, wholeO, whole, and no binary mask, and CBCT were 0.9084, 0.8365, 0.7800, 0.6830, and 0.5518, respectively.Pseudo-CT based on ROIO binary mask best matched with CTsim and achieved the highest similarity with CBCT.
机译:这项研究旨在探讨在放射治疗中在不同二元掩模下基于超声(US)变形场的伪计算机断层扫描(pseudo-CT)成像的可靠性。我们使用了3维(3D)CT和US图像,包括在在对3例宫颈癌患者进行治疗1周后,进行了CT模拟定位以及锥束CT(CBCT)和US图像。从US图像中选择3个不同层的图像数据,并选择每个患者的3D CT图像。对于美国图像注册,创建并应用了以下内容:基于模拟定位的美国图像和用于位置验证的美国图像之间的感兴趣区域重叠(ROIO)的二进制蒙版,感兴趣区域(ROI),整个重叠(wholeO) ,以及整个成像区域(整个)。因此,获得了变形场并将其应用于CT图像(CTsim),并且获得了不同的伪CT图像。比较了伪CT和CBCT图像之间的相似性,比较并讨论了不同二元掩模下的伪CT图像与CTsim之间的配准精度。进行了t检验,对伪伪图像之间的配准精度进行了标准化的互信息值。基于ROIO二进制掩码和CTsim等方法的CT图像(P <0.05),差异有统计学意义。还进行了归一化灰色均方误差的t检验(P <0.05),差异具有统计学意义。基于ROIO的伪CT之间的相似度函数意味着ROI,ROI,wholeO,整体和无二进制掩码,而CBCT分别为0.9084、0.8365、0.7800、0.6830和0.5518。与CTsim最匹配的面罩,与CBCT的相似度最高。

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