Logeswaran Rajasvaran
Faculty of Engineering, Multimedia University, Cyberjaya, 63100, Malaysia.
J Digit Imaging. 2008 Jun;21(2):235-42. doi: 10.1007/s10278-007-9029-4. Epub 2007 Mar 8.
Automated computer analysis of magnetic resonance cholangiopancreatography (MRCP) (a focused magnetic resonance imaging sequence for the pancreatobiliary region of the abdomen) images for biliary diseases is a difficult problem because of the large inter- and intrapatient variations in the images, varying acquisition settings, and characteristics of the images, defeating most attempts to produce computer-aided diagnosis systems. This paper proposes a system capable of automated preliminary diagnosis of several diseases affecting the bile ducts in the liver, namely, dilation, stones, tumor, and cyst. The system first identifies the biliary ductal structure present in the MRCP images, and then proceeds to determine the presence or absence of the diseases. Tested on a database of 593 clinical images, the system, which uses visual-based features, has shown to be successful in delivering good performance of 70-90% even in the presence of multiple diseases, and may be useful in aiding medical practitioners in routine MRCP examinations.
磁共振胰胆管造影(MRCP)(一种针对腹部胰胆管区域的聚焦磁共振成像序列)图像用于胆道疾病的自动计算机分析是一个难题,因为图像在患者之间和患者内部存在很大差异、采集设置不同以及图像特征各异,这使得大多数生成计算机辅助诊断系统的尝试都以失败告终。本文提出了一种能够对影响肝脏胆管的几种疾病进行自动初步诊断的系统,即胆管扩张、结石、肿瘤和囊肿。该系统首先识别MRCP图像中存在的胆管结构,然后确定疾病的存在与否。在一个包含593张临床图像的数据库上进行测试,该使用基于视觉特征的系统即使在存在多种疾病的情况下也成功展现出70% - 90%的良好性能,并且可能有助于医生进行常规MRCP检查。