DePuey E G, Garcia E V, Ezquerra N F
Department of Radiology, Emory University School of Medicine, Atlanta, GA 30322.
AJR Am J Roentgenol. 1989 Jun;152(6):1161-8. doi: 10.2214/ajr.152.6.1161.
Three-dimensional reconstruction techniques including bull's-eye polar-coordinate maps, surface rendering, and surface modeling have been developed that help interpreting physicians assimilate complex 3-D tomographic data. Comparison of patient data with normal files highlights myocardial perfusion abnormalities, thus facilitating their recognition. In addition, AI systems that use heuristically defined rules derived from an expert knowledge base assist inexperienced observers in drawing conclusions regarding scan abnormalities.
已经开发出包括靶心极坐标图、表面渲染和表面建模在内的三维重建技术，有助于解读医生理解复杂的三维断层扫描数据。将患者数据与正常档案进行比较，突出显示心肌灌注异常，从而便于识别这些异常。此外，利用从专家知识库得出的启发式定义规则的人工智能系统，协助缺乏经验的观察者就扫描异常得出结论。
