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融合千伏计算机断层扫描(kV-CT)和兆伏锥形束计算机断层扫描(MV-CBCT)互补优势的混合模态双能成像:概念提出与临床验证

Hybrid modality dual-energy imaging aggregating complementary advantages of kV-CT and MV-CBCT: concept proposal and clinical validation.

作者信息

Qi Junfeng, Yu Shutong, Dong Zhengkun, Liu Jiang, Deng Juan, Mei Guojian, Yin Chuou, Li Qiao, Li Tian, Wang Shi, Zhang Yibao

机构信息

Department of Engineering Physics, Tsinghua University, Haidian District, Beijing, P. R. China, Beijing, Beijing, 100084, CHINA.

Peking University Health Science Center Institute of Medical Technology, Haidian District, Beijing, 100084, P. R. China, Beijing, 100142, CHINA.

出版信息

Phys Med Biol. 2024 Oct 8. doi: 10.1088/1361-6560/ad84b1.

Abstract

Megavoltage cone-beam CT (MV-CBCT) is advantageous in metal artifact reduction during Image-Guided Radiotherapy (IGRT), although it is limited by poor soft tissue contrast. This study proposed and evaluated a novel hybrid modality dual-energy (DE) imaging method combining the complementary advantages of kV-CT and MV-CBCT. Approach: The kV-CT and MV-CBCT images were acquired on a planning CT scanner and a Halcyon linear accelerator respectively. After rigid registration, images of basis materials were generated using the iterative decomposition method in the volumetric images. The decomposition accuracy was quantitatively evaluated on a Gammex 1472 phantom. The performance of contrast enhancement and metal artifact reduction in virtual monochromatic images were evaluated on both phantom and patient studies. Main results: Using the proposed method, the mean percentage errors for RED and SPR were 0.90% and 0.81%, outperforming the clinical single-energy mapping method with mean errors of 1.28% and 1.07%, respectively. The contrasts of soft-tissue insets were enhanced by a factor of 2~3 at 40 keV compared to kV-CT. The standard deviation in the metal artifact area was reduced by ~67%, from 42 HU (kV-CT) to 14 HU (150 keV monochromatic). The head and neck patient test showed that the percent error of soft-tissue RED in the metal artifact area was reduced from 18.1% (HU-RED conversion) to less than 1.0% (the proposed method), which was equivalent to the maximum dosimetric difference of 28.7% based on the patient-specific plan. Significance: Without hardware modification or extra imaging dose, the proposed hybrid modality method enabled kV-MV DE imaging, providing improved accuracy of quantitative analysis, soft-tissue contrast and metal artifact suppression for more accurate IGRT.&#xD.

摘要

兆伏级锥形束CT(MV-CBCT)在图像引导放射治疗(IGRT)期间减少金属伪影方面具有优势,尽管它受到软组织对比度差的限制。本研究提出并评估了一种结合千伏CT(kV-CT)和MV-CBCT互补优势的新型混合模态双能(DE)成像方法。

方法

kV-CT图像和MV-CBCT图像分别在计划CT扫描仪和Halcyon直线加速器上采集。刚性配准后,使用体积图像中的迭代分解方法生成基物质图像。在Gammex 1472体模上对分解精度进行了定量评估。在体模和患者研究中评估了虚拟单色图像中对比度增强和金属伪影减少的性能。

主要结果

使用所提出的方法,RED和SPR的平均百分比误差分别为0.90%和0.81%,优于临床单能映射方法,其平均误差分别为1.28%和1.07%。与kV-CT相比,在40 keV时软组织插入物的对比度提高了2至3倍。金属伪影区域的标准差降低了约67%,从42 HU(kV-CT)降至14 HU(150 keV单色)。头颈患者测试表明,金属伪影区域中软组织RED的百分比误差从18.1%(HU-RED转换)降至小于1.0%(所提出的方法),这相当于基于患者特定计划的最大剂量差异为28.7%。

意义

无需硬件修改或额外的成像剂量,所提出的混合模态方法实现了kV-MV DE成像,为更精确的IGRT提供了更高的定量分析准确性、软组织对比度和金属伪影抑制。

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