Cirrhosis is a liver disease that is considered to be among the most common diseases in healthcare. Due to its non-invasive nature, ultrasound (US) imaging is a widely accepted technology for the diagnosis of this disease. This research work proposed a method for discriminating the cirrhotic liver from normal liver through US images. The liver US images were obtained from the radiologist. The radiologist also specified the region of interest (ROI) from these images, and then the proposed method was applied to it. Two parameters were extracted from the US images through differences in intensity of neighboring pixels. Then, these parameters can be used to train a classifier by which cirrhotic region of test patient can be detected. A 2-D array was created by the difference in intensity of the neighboring pixels. From this array, two parameters were calculated. The decision was taken by checking these parameters. The validation of the proposed tool was done on 80 images of cirrhotic and 30 images of normal liver, and classification accuracy of 98.18% was achieved. The result was also verified by the radiologist. The results verified its possibility and applicability for high-performance cirrhotic liver discrimination.

中文翻译：

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强度差技术通过超声成像检测肝硬化

肝硬化是一种肝脏疾病，被认为是医疗保健中最常见的疾病之一。由于其非侵入性，超声（US）成像是诊断该疾病的一种广泛接受的技术。这项研究工作提出了一种通过US图像区分肝硬化肝与正常肝的方法。肝脏US图像是从放射科医生那里获得的。放射科医生还从这些图像中指定了感兴趣的区域（ROI），然后将所提出的方法应用于该区域。通过相邻像素强度的差异从美国图像中提取了两个参数。然后，这些参数可用于训练分类器，通过该分类器可以检测出受试患者的肝硬化区域。通过相邻像素的强度差异创建了二维阵列。从这个数组中 计算了两个参数。通过检查这些参数来做出决定。对80例肝硬化图像和30例正常肝图像进行了验证，该分类工具的分类准确率达到98.18％。放射科医生也对结果进行了验证。结果证实了其对高性能肝硬化肝鉴别的可能性和适用性。