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公开(公告)号:US20160045180A1
公开(公告)日:2016-02-18
申请号:US14462014
申请日:2014-08-18
申请人: Michael Kelm , Yefeng Zheng
发明人: Michael Kelm , Yefeng Zheng
CPC分类号: A61B6/5235 , A61B5/7267 , A61B6/032 , A61B6/503 , A61B6/504 , A61B6/508 , A61B6/5217 , G06T7/0012 , G06T7/11 , G06T7/174 , G06T2207/10081 , G06T2207/30101 , G06T2207/30172
摘要: A pair of medical images is analysed, the pair including a first image, which is a contrasted scan of a part in a human or animal body, and a second image, which is a native scan of the same part of the human or animal body. Anatomic structures are identified within both the first image and the second image. By using those anatomic structures, centerlines of vessels in the first image are mapped to the second image. Candidate calcified plaques are extracted in the second image, and calcified plaques out of the candidate calcified plaques are identified by a machine learning classifier. The positional information of the centerlines in the second image is used for extracting the candidate calcified plaques in the second image and/or for identifying the calcified plaques out of the candidate calcified plaques by the machine learning classifier.
摘要翻译: 分析一对医学图像,该对包括第一图像,其是人或动物体中的一部分的对比扫描,以及第二图像,其是人或动物体的相同部分的本机扫描 。 在第一图像和第二图像内都识别解剖结构。 通过使用那些解剖结构,第一个图像中血管的中心线被映射到第二个图像。 在第二图像中提取候选钙化斑块,并且通过机器学习分类器鉴定候选钙化斑块中的钙化斑块。 第二图像中的中心线的位置信息用于提取第二图像中的候选钙化斑块和/或用于通过机器学习分类器识别候选钙化斑块中的钙化斑块。
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公开(公告)号:US20150313563A1
公开(公告)日:2015-11-05
申请号:US14266191
申请日:2014-04-30
申请人: Michael Kelm , Peng Wang , Andreas Meyer , Guillaume Dumont
发明人: Michael Kelm , Peng Wang , Andreas Meyer , Guillaume Dumont
CPC分类号: A61B6/481 , A61B6/12 , A61M25/09 , G06T7/277 , G06T2207/10016 , G06T2207/10121 , G06T2207/30021 , G06T2207/30101
摘要: A periodic time-varying model of a guide wire, other device, or vessel is created from higher contrast CINE acquisition. A multivariate curve regression is used for periodic, phase dependent motion modeling. This model is then used to locate or track the guide wire, other device or vessel in lower contrast fluoroscopy images during intervention.
摘要翻译: 引导线,其他设备或容器的周期时变模型是由较高对比度的CINE采集创建的。 多变量曲线回归用于周期性,相位运动建模。 然后,该模型用于在干预期间在较低对比度透视图像中定位或跟踪导丝,其他装置或血管。
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公开(公告)号:US09675310B2
公开(公告)日:2017-06-13
申请号:US14266191
申请日:2014-04-30
申请人: Michael Kelm , Peng Wang , Andreas Meyer , Guillaume Dumont
发明人: Michael Kelm , Peng Wang , Andreas Meyer , Guillaume Dumont
CPC分类号: A61B6/481 , A61B6/12 , A61M25/09 , G06T7/277 , G06T2207/10016 , G06T2207/10121 , G06T2207/30021 , G06T2207/30101
摘要: A periodic time-varying model of a guide wire, other device, or vessel is created from higher contrast CINE acquisition. A multivariate curve regression is used for periodic, phase dependent motion modeling. This model is then used to locate or track the guide wire, other device or vessel in lower contrast fluoroscopy images during intervention.
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