Computer aided diagnosis of myocardial bull's eye map for detection of coronary artery lesion

计算机辅助诊断心肌牛眼图检测冠状动脉病变

• 批准号: 07670999
• 负责人: UEHARA Toshiisa
• 金额: $ 1.41万
• 依托单位: OSAKA UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1995
• 资助国家: 日本
• 起止时间: 1995 至 1996
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-07670999/
• 关键词: myocardial SPECT; extent, severity map; neuro-computer; Extent,Severity Map; Bull's Eye Map; Extent Map; Neurocomputer

Although exercise and redistribution Tl-201 myocardial SPECT is useful method for detection of coronary artery lesion, attenuation and Compton scatter make artifacts on myocardial image and obstruct correct diagnosis. Therefore, diagnostic accuracy of Tl-201 myocardial SPECT depends upon the skill of image interpreter. For more objective and correct diagnosis, quatintative analysis by Bull's eye display is usefull. Moreover, extent and severity map of Bull's eye display standardized by normal patients are more useful for objective and correct diagnosis than simple Bull's eye map. The interpretation of these extent and severity map is simple recognition of defect pattern and may be suitable for computer analysis.So far, Bull's eye map was made from quantitative circumferential analysis of myocardial short-axial SPECT,and the information of apical area was excluded. For creation of more correct Bull's eye map including apical area, we developed radial long axial SPECT for quantitative analysis, which was reconstracted from short axial SPECT.Normal pattern of Bull's eye map had gender difference, and we used 2 kinds of normal patterns for men and women. The initial learning for neurocomputer was not enough, because collection of clinical patients having normal coronary artery and 8 kinds of abnormal coronary lesion patterns (LAD,RCA,LCX,LAD+RCA,LAD+LCX,RCA+LCX,LAD+RCA+LCX lesions) was very difficult for limited periods. The diagnostic accuracy of neurocomputer was superior to interpretation by inexperienced docters, but inferior to that by skillful docters. Thus, the more training of neuro-computer by many patient's data will improve the diagnostic ability of neuro-computer and become a good computer aided diagnostic device in some time.

尽管运动和再分布T1 -201心肌SPECT是检测冠状动脉病变的有效方法，但衰减和康普顿散射使心肌图像产生伪影，妨碍正确诊断。因此，T1 -201心肌断层显像诊断的准确性取决于图像判读技术。为了更客观、正确地诊断，利用牛眼显示进行定量分析是有用的。此外，由正常人标准化的牛眼显示的范围和严重程度图比简单的牛眼图更有助于客观和正确的诊断。目前，牛眼图是由心肌短轴SPECT定量环周分析得到的，排除了心尖区的信息。为建立包括心尖区在内的更准确的牛眼图，我们将短轴SPECT重建成放射状长轴SPECT进行定量分析，牛眼图的正常图形有性别差异，我们采用男女两种正常图形。对神经计算机的初步学习还不够，因为在有限的时间内收集冠状动脉正常和8种异常冠状动脉病变模式（LAD、RCA、LCX、LAD+RCA、LAD+ LCX、RCA+LCX、LAD+RCA+LCX病变）的临床患者非常困难。神经计算机诊断的准确性上级于经验不足的医生，但低于熟练的医生。因此，通过大量的患者数据对神经计算机进行训练，将提高神经计算机的诊断能力，并在一定时间内成为一种良好的计算机辅助诊断设备。

项目成果

Uehara T: "Recent development and future expectation in nuclear cardiology" Jpn.J.Clinical Radiology. 41. 317-327 (1996)

Uehara T：“核心脏病学的最新发展和未来期望”Jpn.J.Clinical Radiology。