基于知识库和CT影像的多器官疾病诊断智能系统的构建

Tetsuya Satos, N. Abe, Kazuaki Tanaka, Y. Kinoshita, Shoujie He
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引用次数: 7

摘要

放射诊断设备性能的提高,使获得详细的医学图像成为可能。本研究的目的是开发一种利用先进影像信息对各种内脏器官和疾病进行诊断的计算机辅助诊断系统。由于计算机辅助诊断系统必须对内脏器官的位置进行假设,为了使计算机辅助诊断系统工作,我们将脊柱作为位置推定的标志。从CT数据中识别每个脊柱的位置,并根据结果提取肺面积。我们认为,未来将多个器官的图像数据处理算法与器官位置推定相结合,计算机辅助诊断系统将有可能向放射科医生告知异常区域
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward Developing Multiple Organs and Diseases Diagnosing Intellectual System referring to Knowledge Base and CT Images
The performance improvement of radiation diagnosis devices makes it possible to get detailed medical images. The objective of this research is to develop a computer aided diagnosis system that uses advanced information of images for various kinds of internal organs and diseases. In order to make the computer aided diagnosis system do the work, as it must presume position of internal organs, the spine is used as a landmark of positional presumption. The position of each spine is recognized from the CT data, and the lungs area is extracted based on the result. We think it possible for the computer aided diagnosis system to inform radiologists about abnormality regions when the image data processing algorithm about several organs is integrated with positional presumption of organs in the future
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