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Contrast-Independent Liver-Fat Quantification from Spectral CT Exams

机译:来自光谱CT考试的对比无肝脂肪量化

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The diagnosis and treatment of fatty liver disease requires accurate quantification of the amount of fat in the liver. Image-based methods for quantification of liver fat are of increasing interest due to the high sampling error and invasiveness associated with liver biopsy, which despite these difficulties remains the gold standard. Current computed tomography (CT) methods for liverfat quantification are only semi-quantitative and infer the concentration of liver fat heuristically. Furthermore, these techniques are only applicable to images acquired without the use of contrast agent, even though contrast-enhanced CT imaging is more prevalent in clinical practice. In this paper, we introduce a method that allows for direct quantification of liver fat for both contrast-free and contrastenhanced CT images. Phantom and patient data are used for validation, and we conclude that our algorithm allows for highly accurate and repeatable quantification of liver fat for spectral CT.
机译:脂肪肝疾病的诊断和治疗需要准确定量肝脏中脂肪量的量化。由于与肝活检相关的高采样误差和侵袭性,基于图像的肝脏脂肪的定量方法增加了兴趣,这仍然存在这些困难仍然是金标准。目前的计算机断层扫描(CT)用于肝脏量化的方法仅是半定量的,并推断出启动肝脏脂肪的浓度。此外,这些技术仅适用于在不使用造影剂的情况下获得的图像,即使对比度增强的CT成像在临床实践中更为普遍。在本文中,我们介绍一种方法,该方法允许直接定量对比度和对比度CT图像的肝脏脂肪。幻影和患者数据用于验证,我们得出结论,我们的算法允许对光谱CT的肝脏脂肪的高度准确和可重复定量定量。

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