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    • 8. 发明申请
    • AUTOMATIC CALIBRATION OF COMPUTER AIDED DIAGNOSIS BASED ON RETROSPECTIVE EXAMINATION
    • 基于回顾性检查的计算机辅助诊断的自动校准
    • WO2009035573A1
    • 2009-03-19
    • PCT/US2008/010505
    • 2008-09-08
    • SIEMENS MEDICAL SOLUTIONS USA, INC.SHINAGAWA, YoshihisaHERMOSILLO VALADEZ, Gerardo
    • SHINAGAWA, YoshihisaHERMOSILLO VALADEZ, Gerardo
    • G06T7/00
    • G06T7/0012
    • A method for automatic detection of lesions within a medical image include acquiring medical image data (S31). Regions of suspicion are automatically identified within the medical image data (S32). It is automatically determined whether each identified region of suspicion is of a benign state, is of a suspicious state that requires a biopsy, or is of an indeterminate state that requires subsequent imaging after a particular length of time (S33). When an identified region of suspicion is determined to be of an indeterminate state, the determination is automatically reconsidered in light of a calibration factor that biases the automatic determination towards either a benign state or a suspicious state (S36). The calibration factor may be based on data collected from follow-up examinations that reveal whether a lesion previously characterized as indeterminate was actually a benign or malignant lesion (S38) or on additional diagnostic information including prior image data or non-image data.
    • 医疗图像内的病变的自动检测方法包括取得医用图像数据(S31)。 在医学图像数据内自动识别怀疑区域(S32)。 自动确定每个识别的怀疑区域是否是良性状态,是否需要活组织检查的可疑状态,或者是在特定时间段之后需要后续成像的不确定状态(S33)。 当识别到的怀疑区域被确定为不确定状态时,根据将自动判定偏向良性状态或可疑状态的校准因子自动重新确定(S36)。 校正因子可以基于从随访检查收集的数据,其揭示先前特征为不确定性的病变实际上是良性或恶性病变(S38)或包括先前图像数据或非图像数据的附加诊断信息。