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METHOD AND SYSTEM FOR AUTOMATICALLY DETECTING LUNG NODULES FROM MULTI-SLICE HIGH RESOLUTION COMPUTED TOMOGRAPHY (MSHR CT) IMAGES

机译:自动从多层高分辨率CT图像中自动检测肺结节的方法和系统

摘要

A computer-assisted diagnosis method for assisting diagnosis of anatomical structures in a digital volumetric medical image of at least one lung includes identifying an anatomical structure of interest in the volumetric digital medical image. The anatomical structure of interest is automatically segmented, in real-time, in a predefined volume of interest (VOI). Quantitative measurements of the anatomical structure of interest are automatically computed, real-time. A result of the segmenting step and a result of the computing step are displayed, in real-time. A likelihood that the anatomical structure of interest corresponds to a disease or an area warranting further investigation is estimating, in real-time, based on predefined criteria and the quantitative measurements. A warning is generated, in real-time, when the likelihood is above a predefined threshold.
机译:一种用于辅助诊断至少一个肺的数字体医学图像中的解剖结构的计算机辅助诊断方法,包括识别该体数字医学图像中的感兴趣的解剖结构。感兴趣的解剖结构自动实时地以预定的感兴趣体积(VOI)进行分割。感兴趣的解剖结构的定量测量是自动实时计算的。实时显示分割步骤的结果和计算步骤的结果。基于预定义的标准和定量测量,实时估计感兴趣的解剖结构对应于疾病或需要进一步研究的区域的可能性。当可能性超过预定义的阈值时,会实时生成警告。

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