Fused monochromatic imaging acquired by single source dual energy CT in hepatocellular carcinoma during arterial phase: an initial experience
Fused monochromatic imaging acquired by single source dual energy CT in hepatocellular carcinoma during arterial phase: an initial experience
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单源双能CT对肝细胞癌动脉期融合单色成像的初步体会
DOI：
10.3978/j.issn.1000-9604.2014.08.15
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发表时间：
2014-08-01
影响因子：
5.1
通讯作者：
Shan, Jun
中科院分区：
文献类型：
--
作者：
Gao, Shun-Yu;Zhang, Xiao-Peng;Shan, Jun
目的：探讨单源双能CT（ssDECT）对动脉期肝细胞癌（HCC）患者使用单源双能CT（ssDECT）进行肝脏肿瘤检出和勾画是否能够提高单幅和融合单色图像的效果。方法：回顾性纳入在北京肿瘤医院接受ssDECT扫描的57例HCC患者。在动脉期以 5 keV 间隔重建 21 组 40 至 140 keV 的单色图像。选择肝脏肿瘤的最佳对比噪声比（CNR）单色图像和最低噪声单色图像进行图像融合。我们分别评估了最佳 CNR 单色图像、最低噪声单色图像和融合单色图像的图像质量。评价指标包括解剖结构的空间分辨率、噪声水平、肿瘤的对比度和CNR。结果：在动脉期，65 keV单色图像能够最清晰地显示肝脏的解剖结构，图像噪声最低。 HCC肿瘤的最佳CNR单色图像是50keV单色图像，其中肝肿瘤的内部结构特征显示得最清晰、细致。对于肿瘤检测，融合单色图像和 50 keV 单色图像具有相似的性能，并且比 65 keV 单色图像更敏感。结论：我们通过融合 HCC 肿瘤的最佳 CNR 单色图像和最低噪声单色图像，获得了良好的动脉期图像。融合图像更清晰地显示肝脏肿瘤和解剖结构，这可能有助于识别更多、更小的 HCC 肿瘤。
Objective: To explore whether single and fused monochromatic images can improve liver tumor detection and delineation by single source dual energy CT (ssDECT) in patients with hepatocellular carcinoma (HCC) during arterial phase.Methods: Fifty-seven patients with HCC who underwent ssDECT scanning at Beijing Cancer Hospital were enrolled retrospectively. Twenty-one sets of monochromatic images from 40 to 140 keV were reconstructed at 5 keV intervals in arterial phase. The optimal contrast-noise ratio (CNR) monochromatic images of the liver tumor and the lowest-noise monochromatic images were selected for image fusion. We evaluated the image quality of the optimal-CNR monochromatic images, the lowest-noise monochromatic images and the fused monochromatic images, respectively. The evaluation indicators included the spatial resolution of the anatomical structure, the noise level, the contrast and CNR of the tumor.Results: In arterial phase, the anatomical structure of the liver can be displayed most clearly in the 65-keV monochromatic images, with the lowest image noise. The optimal-CNR monochromatic images of HCC tumor were 50-keV monochromatic images in which the internal structural features of the liver tumors were displayed most clearly and meticulously. For tumor detection, the fused monochromatic images and the 50-keV monochromatic images had similar performances, and were more sensitive than 65-keV monochromatic images.Conclusions: We achieved good arterial phase images by fusing the optimal-CNR monochromatic images of the HCC tumor and the lowest-noise monochromatic images. The fused images displayed liver tumors and anatomical structures more clearly, which is potentially helpful for identifying more and smaller HCC tumors.