Intelligent Assistance in Diagnosis of Multi-dimensional Medical Images

本研究项目的目标是开发一个多器官、多疾病的CAD系统，该系统结合了人体解剖知识和各种疾病的诊断知识。人体解剖学数字地图集（DAHA）已经开发出来。在此基础上，开发了各种分割胸部和/或腹部三维CT图像器官的方法。它们包括支气管、肺区血管、横膈膜、心脏、冠状动脉、胃壁、肝脏、脾脏、左右肾、胆囊、胰腺、结肠、脾和肝之间的门静脉、食道、腹主动脉和下腔静脉。异常区域的特征取决于疾病的类型。为了识别这些异常，各种疾病的诊断知识是必不可少的。已经开发了一个关于胸部和/或腹部主要器官的诊断知识数据库，即诊断知识的数字表示（DRDK）。DANA和DRDK是大型数据库，可以通过几个研究小组的合作来实现。各种类型的分割方法、器官建模方法、病变检测方法、诊断方法等，必须集成到一个系统中，才能开发出多器官、多疾病的CAD系统。已经开发了一个可以集成所有这些插件单元的公共平台。它被称为冥王星。并在此平台上构建了一个多器官、多疾病综合CAD系统的原型。这些结果表明，研究项目的目标已经实现。

The objective of this research project is to develop a multi-organ, multi-disease CAD system that incorporates anatomical knowledge of the human body and diagnostic knowledge of various types of diseases.Digital atlases of human anatomy (DAHA) have been developed. Based on them various methods of segmentation of organs in the chest and/or abdominal 3D CT images have been developed. They include the bronchus, the blood vessels in the lung area, the diaphragm, the heart, the coronary artery, the stomach wall, the liver, the spleen, the left and right kidneys, the gallbladder, the pancreas, the colon, the portal vein (PV) between the spleen and liver, the esophagus, the abdominal aorta, and the inferior vena cava (IVC).The characteristics of abnormal regions depend on the type of disease. In order to identify these abnormalities, diagnostic knowledge of various types of diseases is essential. A database of such diagnostic knowledge on the major organs in chest and/or abdominal region, i. e. a digital representation of diagnostic knowledge (DRDK), has been developed.The DANA and the DRDK are large databases that can be achieved by the collaboration of several research groups. Various types of segmentation methods, organ modeling methods, lesion detection methods, diagnostic methods, etc., must be integrated into one system to develop a multi-organ, multi-disease CAD system. A common platform that can integrate all of those plug-in units has been developed. It is called Pluto. And a prototype of a comprehensive CAD system for multi-organ and multi-disease has been constructed on this platform.These results suggest that the goal of the research project has been achieved.