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一种具有亚像素精度的快速双模板卷积等中心评估算法。

A fast double template convolution isocenter evaluation algorithm with subpixel accuracy.

机构信息

Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts 02114, USA.

出版信息

Med Phys. 2011 Jan;38(1):223-7. doi: 10.1118/1.3524227.

Abstract

PURPOSE

To design a fast Winston Lutz (fWL) algorithm for accurate analysis of radiation isocenter from images without edge detection or center of mass calculations.

METHODS

An algorithm has been developed to implement the Winston Lutz test for mechanical/ radiation isocenter agreement using an electronic portal imaging device (EPID). The algorithm detects the position of the radiation shadow of a tungsten ball within a stereotactic cone. The fWL algorithm employs a double convolution to independently find the position of the sphere and cone centers. Subpixel estimation is used to achieve high accuracy. Results of the algorithm were compared to (1) a human observer with template guidance and (2) an edge detection/center of mass (edCOM) algorithm. Testing was performed with high resolution (0.05 mm/px, film) and low resolution (0.78 mm/px, EPID) image sets.

RESULTS

Sphere and cone center relative positions were calculated with the fWL algorithm for high resolution test images with an accuracy of 0.002 +/- 0.061 mm compared to 0.042 +/- 0.294 mm for the human observer, and 0.003 +/- 0.038 mm for the edCOM algorithm. The fWL algorithm required 0.01 s per image compared to 5 s for the edCOM algorithm and 20 s for the human observer. For lower resolution images the fWL algorithm localized the centers with an accuracy of 0.083 +/- 0.12 mm compared to 0.03 +/- 0.5514 mm for the edCOM algorithm.

CONCLUSIONS

A fast (subsecond) subpixel algorithm has been developed that can accurately determine the center locations of the ball and cone in Winston Lutz test images without edge detection or COM calculations.

摘要

目的

设计一种快速 Winston Lutz(fWL)算法,用于在无需边缘检测或质心计算的情况下,准确分析图像中的辐射等中心。

方法

开发了一种算法,用于使用电子射野影像装置(EPID)实现机械/辐射等中心一致性的 Winston Lutz 测试。该算法检测钨球辐射阴影在立体定向锥体内的位置。fWL 算法采用双卷积独立找到球体和锥体中心的位置。使用亚像素估计实现高精度。将算法的结果与(1)具有模板引导的人工观察者和(2)边缘检测/质心(edCOM)算法进行比较。使用高分辨率(0.05mm/像素、胶片)和低分辨率(0.78mm/像素、EPID)图像集进行测试。

结果

对于高分辨率测试图像,fWL 算法计算球体和锥体中心的相对位置,精度为 0.002 +/- 0.061mm,而人工观察者的精度为 0.042 +/- 0.294mm,edCOM 算法的精度为 0.003 +/- 0.038mm。与 edCOM 算法相比,fWL 算法每幅图像的处理时间为 0.01s,而 edCOM 算法为 5s,人工观察者为 20s。对于较低分辨率的图像,fWL 算法定位中心的精度为 0.083 +/- 0.12mm,而 edCOM 算法的精度为 0.03 +/- 0.5514mm。

结论

开发了一种快速(亚秒级)亚像素算法,可在无需边缘检测或 COM 计算的情况下,准确确定 Winston Lutz 测试图像中球和锥体的中心位置。

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