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首页> 外文期刊>日本放射线技术学会杂志 >Development of a Semi-automated Superimposing Image Verification System Using a Template Matching Algorithm in Radiotherapy
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Development of a Semi-automated Superimposing Image Verification System Using a Template Matching Algorithm in Radiotherapy

机译：模板匹配算法在放射治疗中半自动叠加图像验证系统的开发

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摘要

To analyze shifts in the isocenter of images, we developed a semi-automated superimposing image-verification system that is capable of automatically quantifying shifts in the isocenter through image analysis with a personal computer (PC). The accuracy and usefulness of this software were examined through a comparison of nine portal images with a simulation image and by comparing nine portal images with a DRR image, using a human pelvic phantom. The difference between the known magnitude of shift and the magnitude of shift detected with this method was analyzed as detection error. When the portal images were compared with the simulation image, the 95% confidence interval (95% CI)of detection errors (mean±SD) was 0.57 ± 0.36 mm(95% CI: 0.49-0.65 mm). When the portal images were compared with the DRR image, the respective figures were 0.68±0.38 mm (95% CI: 0.59-0.77 mm). No significant difference was noted between these two categories of comparison (N.S). The absolute detection error (mean±SD) in all directions was 0.34+0.34 mm for the comparison of portal images with the simulation image and 0.41±0.36 mm for the comparison of portal images with the DRR image. This system seems to be appropriate for verification of the treatment field by improving the accuracy of radiotherapy as a method of computer-assisted landmark recognition during image comparison.
机译：为了分析图像等中心线的偏移，我们开发了一种半自动叠加图像验证系统，该系统能够通过使用个人计算机（PC）进行图像分析来自动量化等中心线的偏移。通过使用人类骨盆体模将九个门图像与模拟图像进行比较，以及将九个门图像与DRR图像进行比较，来检查该软件的准确性和实用性。分析已知的偏移量与使用该方法检测到的偏移量之间的差作为检测误差。当将门户图像与模拟图像进行比较时，检测误差的95％置信区间（95％CI）（平均值±SD）为0.57±0.36 mm（95％CI：0.49-0.65 mm）。当将门户图像与DRR图像进行比较时，各自的数字为0.68±0.38mm（95％CI：0.59-0.77mm）。这两类比较（N.S）之间没有发现显着差异。对于门户图像与模拟图像的比较，在所有方向上的绝对检测误差（平均值±SD）为0.34 + 0.34mm，对于门户图像与DRR图像的比较，为0.41±0.36mm。该系统似乎适合于通过提高放射治疗的准确性来验证治疗领域，该方法是在图像比较过程中使用计算机辅助进行地标识别的一种方法。

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