首页> 外国专利> Image processing console calibrating method for e.g. identifying pulmonary tumor of patient, involves generating calibrated function defining luminous intensity threshold for outlining tumor by mathematical approximation of parameters

Image processing console calibrating method for e.g. identifying pulmonary tumor of patient, involves generating calibrated function defining luminous intensity threshold for outlining tumor by mathematical approximation of parameters

机译:图像处理控制台的校准方法,例如识别患者的肺部肿瘤,涉及生成校准函数,该函数定义通过参数的数学近似来概述肿瘤的发光强度阈值

摘要

The method involves measuring surfaces of different pulmonary cancerous nodules on corresponding computed tomography images obtained by a coupled positron emission tomography (PET) or computed tomography imaging machine (1). PET images of the nodules are obtained. A threshold luminosity value defining a contour on each PET image is determined. A luminous intensity parameter on each PET image is automatically measured inside the contour. A calibrated function defining a luminous intensity threshold for outlining a tumor is generated by mathematical approximation of the parameters. The pulmonary cancerous nodules are upper lobe nodules of lungs of patients.
机译:该方法涉及在通过耦合正电子发射断层摄影(PET)或计算机断层摄影成像机(1)获得的相应的计算机断层摄影图像上测量不同的肺癌结节的表面。获得结核的PET图像。确定在每个PET图像上定义轮廓的阈值发光度值。在轮廓内部自动测量每个PET图像上的发光强度参数。通过参数的数学近似来生成定义用于概述肿瘤的发光强度阈值的校准函数。肺癌结节是患者肺的上叶结节。

著录项

  • 公开/公告号FR2946172A1

    专利类型

  • 公开/公告日2010-12-03

    原文格式PDF

  • 申请/专利权人 MOUSSALLEM MAZEN;HOSPICES CIVILS DE LYON;

    申请/专利号FR20100056677

  • 发明设计人 MOUSSALLEM MAZEN;

    申请日2010-08-19

  • 分类号G06T7;A61B6/03;G01T1/164;

  • 国家 FR

  • 入库时间 2022-08-21 17:45:53

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