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Liver Imaging: Image Quality Evaluation and Comparison between Single and Dual Energy Protocols

机译:肝脏成像:图像质量评估以及单能量和双能量方案之间的比较

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Purpose: Some qualitative studies report a preference for blended dual-energy (DE) CT images over single energy (SE) images for liver CT imaging at the same dose. This is counter to theoretical expectations for simple tasks. We hypothesized that perhaps the broad spectrum of DE might be beneficial for a combination of tasks. We compare the CNR of SE and blended DE images for single and composite tasks, in part to see if they explain the preference. Methods: We simulated pre- and post-contrast SE abdominal CT imaging at various kVp but at constant average dose. Next, 80kVp and 140kVp scans with different dose allocations, dose matched to the SE images, were simulated. DE images were blended linearly with optimized blending ratios. The CNRs of liver against other soft tissues were used as a composite image quality metric for evaluation and comparison between the SE and DE protocols. In addition, the combination of the CNR of many tissue pairs pre- and post-contrast. Results: The CNR of pre-contrast single kVp imaging mostly increases with increasing tube voltage while 90kVp or lower energy yields higher CNR for post-contrast images, depending on the differential iodine concentration of each tissue. Similar trends are seen in the DE blended CNR curves. Results from the composite multi-CNR metric demonstrate that the SE protocol has better performance. Conclusions: Our study showed that an optimized SE protocol produces higher CNR, even for a range of tasks. This suggests that the reason for the radiologist preference must be something other than a fundamental advantage of DE.
机译:目的:一些定性研究报告,对于相同剂量的肝脏CT成像,混合双能(DE)CT图像优于单能(SE)图像。这与对简单任务的理论期望相反。我们假设,广泛的DE可能对组合任务有益。我们比较了SE和混合DE图像在单个任务和复合任务上的CNR,部分看它们是否能够解释偏好。方法:我们模拟了在不同kVp且平均剂量不变的情况下SE腹部CT造影前后的CT成像。接下来,对剂量与SE图像匹配的不同剂量分配的80kVp和140kVp扫描进行了模拟。将DE图像以优化的混合比例线性混合。肝脏对其他软组织的CNR用作复合图像质量指标,用于SE和DE方案之间的评估和比较。另外,许多组织对的CNR在对比之前和之后都相结合。结果:对比前单kVp成像的CNR随管电压的增加而增加,而90kVp或更低的能量产生的对比后图像的CNR更高,这取决于每个组织的碘浓度差异。在DE混合CNR曲线中可以看到类似的趋势。复合多CNR度量的结果表明SE协议具有更好的性能。结论:我们的研究表明,即使对于一系列任务,优化的SE协议也会产生更高的CNR。这表明放射线医生偏爱的原因一定不是DE的基本优势。

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