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Method and system for automatic classification of lesions in breast MRI

机译:在乳房MRI中自动分类病变的方法和系统

摘要

A method for classifying a lesion in an MRI includes acquiring a pre-contrast MR image. A magnetic contrast agent is administered. A set of post-contrast MR images are acquired. The acquired pre-contrast and post-contrast MR images are displayed. A manually entered value is received for a size of a lesion manually identified within the pre-contrast and post-contrast MR images. A manually entered value for an absorption/washout profile is received of the manually identified lesion. A risk of malignancy for the manually identified lesion is automatically determined based on the received size value and absorption/washout profile.
机译:用于在MRI中对病变进行分类的方法包括获取造影前MR图像。施用磁性造影剂。采集一组对比后的MR图像。显示所获取的对比度前和对比度后的MR图像。接收针对在造影前和造影后MR图像内手动识别的病变大小的人工输入的值。接收手动识别的病变的吸收/冲洗曲线的手动输入值。基于接收到的大小值和吸收/清除曲线,可以自动确定手动识别的病变的恶性风险。

著录项

  • 公开/公告号US9218656B2

    专利类型

  • 公开/公告日2015-12-22

    原文格式PDF

  • 申请/专利权人 GERARDO HERMOSILLO VALADEZ;

    申请/专利号US20080244049

  • 发明设计人 GERARDO HERMOSILLO VALADEZ;

    申请日2008-10-02

  • 分类号A61B5/055;G06K9;G06T7;A61B5;G06F19;

  • 国家 US

  • 入库时间 2022-08-21 14:29:29

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