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基于锥形束 CT 图像的前列腺定位:相似性度量精度评估。

Prostate localization on daily cone-beam computed tomography images: accuracy assessment of similarity metrics.

机构信息

Department of Radiation Oncology, Henry Ford Health System, Detroit, MI 48202, USA.

出版信息

Int J Radiat Oncol Biol Phys. 2010 Jul 15;77(4):1257-65. doi: 10.1016/j.ijrobp.2009.09.068. Epub 2010 Apr 6.

Abstract

PURPOSE

To evaluate different similarity metrics (SM) using natural calcifications and observation-based measures to determine the most accurate prostate and seminal vesicle localization on daily cone-beam CT (CBCT) images.

METHODS AND MATERIALS

CBCT images of 29 patients were retrospectively analyzed; 14 patients with prostate calcifications (calcification data set) and 15 patients without calcifications (no-calcification data set). Three groups of test registrations were performed. Test 1: 70 CT/CBCT pairs from calcification dataset were registered using 17 SMs (6,580 registrations) and compared using the calcification mismatch error as an endpoint. Test 2: Using the four best SMs from Test 1, 75 CT/CBCT pairs in the no-calcification data set were registered (300 registrations). Accuracy of contour overlays was ranked visually. Test 3: For the best SM from Tests 1 and 2, accuracy was estimated using 356 CT/CBCT registrations. Additionally, target expansion margins were investigated for generating registration regions of interest.

RESULTS

Test 1-Incremental sign correlation (ISC), gradient correlation (GC), gradient difference (GD), and normalized cross correlation (NCC) showed the smallest errors (mu +/- sigma: 1.6 +/- 0.9 approximately 2.9 +/- 2.1 mm). Test 2-Two of the three reviewers ranked GC higher. Test 3-Using GC, 96% of registrations showed <3-mm error when calcifications were filtered. Errors were left/right: 0.1 +/- 0.5mm, anterior/posterior: 0.8 +/- 1.0mm, and superior/inferior: 0.5 +/- 1.1 mm. The existence of calcifications increased the success rate to 97%. Expansion margins of 4-10 mm were equally successful.

CONCLUSION

Gradient-based SMs were most accurate. Estimated error was found to be <3 mm (1.1 mm SD) in 96% of the registrations. Results suggest that the contour expansion margin should be no less than 4 mm.

摘要

目的

使用自然钙化和基于观察的测量值来评估不同的相似性度量(SM),以确定在日常锥形束 CT(CBCT)图像上最准确的前列腺和精囊定位。

方法与材料

回顾性分析了 29 例患者的 CBCT 图像;14 例患者有前列腺钙化(钙化数据集),15 例患者无钙化(无钙化数据集)。进行了三组测试注册。测试 1:使用 17 种 SM 对来自钙化数据集的 70 对 CT/CBCT 进行注册(6580 次注册),并以钙化不匹配误差作为终点进行比较。测试 2:使用来自测试 1 的前四种最佳 SM,对无钙化数据集中的 75 对 CT/CBCT 进行注册(300 次注册)。轮廓叠加的准确性进行了视觉排名。测试 3:对于测试 1 和 2 中的最佳 SM,使用 356 对 CT/CBCT 进行了注册,以估计准确性。此外,还研究了目标扩展边界,以生成注册感兴趣区域。

结果

测试 1-增量符号相关(ISC)、梯度相关(GC)、梯度差(GD)和归一化互相关(NCC)显示出最小的误差(mu+/-sigma:1.6+/-0.9 大约 2.9+/-2.1mm)。测试 2-三位评审员中的两位将 GC 排名更高。测试 3-使用 GC,当过滤钙化时,96%的注册显示<3mm 的误差。误差为左/右:0.1+/-0.5mm,前/后:0.8+/-1.0mm,上/下:0.5+/-1.1mm。钙化的存在将成功率提高到 97%。4-10mm 的扩展边界同样成功。

结论

基于梯度的 SM 最准确。在 96%的注册中,估计误差<3mm(1.1mm SD)。结果表明,轮廓扩展边界应不小于 4mm。

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