Giger M L, Doi K, MacMahon H, Nishikawa R M, Hoffmann K R, Vyborny C J, Schmidt R A, Jia H, Abe K, Chen X
Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, Medical College 2026, University of Chicago, IL 60637.
Radiographics. 1993 May;13(3):647-56. doi: 10.1148/radiographics.13.3.8316671.
Computer-aided diagnosis (CAD) involves a computerized analysis of radiographs that is used as a "second opinion" by the radiologist. The approach presented incorporates computer vision and artificial intelligence techniques and includes schemes for the analysis of lung nodules, interstitial infiltrates, and cardiomegaly seen on chest radiographs; masses and clustered microcalcifications on mammograms; and stenoses and blood flow on angiograms. The demonstration of various CAD schemes in chest radiography and mammography on a six-monitor workstation simulates one possible clinical implementation of CAD in radiology. Whether soft- or hard-copy display media are used, the radiologist can refer to the CAD results and still use the original radiograph for the final diagnosis. Although initial impressions of this simulated "intelligent" workstation are encouraging, CAD is still in a preliminary stage of development. Various methods for effectively and efficiently integrating CAD into a clinical radiology department are being investigated.
计算机辅助诊断(CAD)涉及对X光片进行计算机化分析,放射科医生将其用作“第二意见”。所提出的方法融合了计算机视觉和人工智能技术,包括用于分析胸部X光片上所见的肺结节、间质浸润和心脏肥大的方案;乳房X光片上的肿块和簇状微钙化;以及血管造影上的狭窄和血流。在六台显示器的工作站上展示胸部X光摄影和乳房X光摄影中的各种CAD方案,模拟了CAD在放射学中的一种可能的临床应用。无论使用软拷贝还是硬拷贝显示介质,放射科医生都可以参考CAD结果,同时仍使用原始X光片进行最终诊断。尽管对这个模拟的“智能”工作站的初步印象令人鼓舞,但CAD仍处于初步发展阶段。目前正在研究将CAD有效且高效地集成到临床放射科的各种方法。