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用于提高锥束计算机断层扫描图像质量和剂量计算准确性的双能成像方法。

Dual-energy imaging method to improve the image quality and the accuracy of dose calculation for cone-beam computed tomography.

作者信息

Men Kuo, Dai Jianrong, Chen Xinyuan, Li Minghui, Zhang Ke, Huang Peng

机构信息

National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.

National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.

出版信息

Phys Med. 2017 Apr;36:110-118. doi: 10.1016/j.ejmp.2017.03.023. Epub 2017 Apr 4.

DOI:10.1016/j.ejmp.2017.03.023
PMID:28410679
Abstract

PURPOSE

To improve the image quality and accuracy of dose calculation for cone-beam computed tomography (CT) images through implementation of a dual-energy cone-beam computed tomography method (DE-CBCT), and evaluate the improvement quantitatively.

METHODS

Two sets of CBCT projections were acquired using the X-ray volumetric imaging (XVI) system on a Synergy (Elekta, Stockholm, Sweden) system with 120kV (high) and 70kV (low) X-rays, respectively. Then, the electron density relative to water (relative electron density (RED)) of each voxel was calculated using a projection-based dual-energy decomposition method. As a comparison, single-energy cone-beam computed tomography (SE-CBCT) was used to calculate RED with the Hounsfield unit-RED calibration curve generated by a CIRS phantom scan with identical imaging parameters. The imaging dose was measured with a dosimetry phantom. The image quality was evaluated quantitatively using a Catphan 503 phantom with the evaluation indices of the reproducibility of the RED values, high-contrast resolution (MTF), uniformity, and signal-to-noise ratio (SNR). Dose calculation of two simulated volumetric-modulated arc therapy plans using an Eclipse treatment-planning system (Varian Medical Systems, Palo Alto, CA, USA) was performed on an Alderson Rando Head and Neck (H&N) phantom and a Pelvis phantom. Fan-beam planning CT images for the H&N and Pelvis phantom were set as the reference. A global three-dimensional gamma analysis was used to compare dose distributions with the reference. The average gamma values for targets and OAR were analyzed with paired t-tests between DE-CBCT and SE-CBCT.

RESULTS

In two scans (H&N scan and body scan), the imaging dose of DE-CBCT increased by 1.0% and decreased by 1.3%. It had a better reproducibility of the RED values (mean bias: 0.03 and 0.07) compared with SE-CBCT (mean bias: 0.13 and 0.16). It also improved the image uniformity (57.5% and 30.1%) and SNR (9.7% and 2.3%), but did not affect the MTF. Gamma analyses of the 3D dose distribution with criteria of 1%/1mm showed a pass rate of 99.0-100% and 85.3-97.6% for DE-CBCT and 73.5-99.1% and 80.4-92.7% for SE-CBCT. The average gamma values were reduced significantly by DE-CBCT (p< 0.05). Gamma index maps showed that matching of the dose distribution between CBCT-based and reference was improved by DE-CBCT.

CONCLUSIONS

DE-CBCT can achieve both better image quality and higher accuracy of dose calculation, and could be applied to adaptive radiotherapy.

摘要

目的

通过实施双能锥束计算机断层扫描方法(DE-CBCT)来提高锥束计算机断层扫描(CT)图像的质量和剂量计算的准确性,并对这种改进进行定量评估。

方法

使用X射线容积成像(XVI)系统在Synergy(医科达,斯德哥尔摩,瑞典)系统上分别以120kV(高)和70kV(低)X射线获取两组CBCT投影。然后,使用基于投影的双能分解方法计算每个体素相对于水的电子密度(相对电子密度(RED))。作为比较,使用单能锥束计算机断层扫描(SE-CBCT)通过由具有相同成像参数的CIRS体模扫描生成的亨氏单位-RED校准曲线来计算RED。使用剂量测定体模测量成像剂量。使用Catphan 503体模通过RED值的可重复性、高对比度分辨率(MTF)、均匀性和信噪比(SNR)等评估指标对图像质量进行定量评估。在Alderson Rando头颈部(H&N)体模和骨盆体模上使用Eclipse治疗计划系统(瓦里安医疗系统公司,帕洛阿尔托,加利福尼亚州,美国)对两个模拟容积调强弧形治疗计划进行剂量计算。将H&N和骨盆体模的扇形束计划CT图像设置为参考。使用全局三维伽马分析将剂量分布与参考进行比较。通过DE-CBCT和SE-CBCT之间的配对t检验分析靶区和危及器官的平均伽马值。

结果

在两次扫描(H&N扫描和体部扫描)中,DE-CBCT的成像剂量分别增加了1.0%和减少了1.3%。与SE-CBCT(平均偏差:0.13和0.16)相比,它具有更好的RED值可重复性(平均偏差:0.03和0.07)。它还改善了图像均匀性(分别为57.5%和30.1%)和SNR(分别为9.7%和2.3%),但不影响MTF。以1%/1mm为标准的3D剂量分布伽马分析显示,DE-CBCT的通过率为99.0 - 100%和85.3 - 97.6%,SE-CBCT的通过率为73.5 - 99.1%和80.4 - 92.7%。DE-CBCT使平均伽马值显著降低(p < 0.05)。伽马指数图显示,DE-CBCT改善了基于CBCT的剂量分布与参考之间的匹配。

结论

DE-CBCT可以实现更好的图像质量和更高的剂量计算准确性,并可应用于自适应放疗。

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