基于功能成像的计算机辅助智能诊断系统

本文采用基于数字图像处理的理论与方法,实现了利用计算机系统进行智能阅片和自动分类病例的功能.该系统可以实现自动分析正常与病变全身骨SPECT图像,同时还可以推导出判断正常骨与病变骨的参数,并利用这些参数对病例进行分类.该系统成功地消除了SPECT全身骨显像中膀胱区域计数量过高对其他部分的影响,提高了SPECT全身骨图像的亮度、对比度和可读性.实现了计算机辅助智能阅片、自动分类病例.本文所用方法独立于SPECT设备以及放射性标记药剂,所有算法由计算机自动完成,并同时给出诊断分类结果.

Computer-aided intelligent diagnosis system based on the analysis to functional imaging

In this paper, the theory and method of digital image processing are applied to realize the function of intelligent observing images and automatic classification by computer. In this system, the whole body bone SPECT image from healthy persons and patients can be analyzed automatically, parameters judging healthy and diseased bone are derived and used to classify cases. By using this system, the influence on the other parts of human body in SPECT images due to large count quantity in bladder area is successfully eliminated. The brightness, contrast and readability are enhanced. It basically realized intelligent observing images and automatic classification by computer. The method in this paper is independent of SPECT equipments and radiation mark medicaments. All the operations are automatically done by computer and in the meantime, the diagnostic results are also given automatically.