发明申请
US20170024634A1 Method for 2-D/3-D registration based on hierarchical pose regression
审中-公开
基于层次姿态回归的2-D / 3-D注册方法
- 专利标题： Method for 2-D/3-D registration based on hierarchical pose regression
- 专利标题（中）： 基于层次姿态回归的2-D / 3-D注册方法
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申请号： US15207033申请日： 2016-07-11
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公开(公告)号： US20170024634A1公开(公告)日： 2017-01-26
- 发明人: Shun Miao , Rui Liao , Zhen Wang
- 申请人： Siemens Medical Solutions USA, Inc. , The University of British Columbia
- 主分类号： G06K9/62
- IPC分类号： G06K9/62 ; G06N3/08 ; G06N3/04 ; G06K9/46 ; G06T7/00
摘要：
A method and apparatus for convolutional neural network (CNN) regression based 2D/3D registration of medical images is disclosed. A parameter space zone is determined based on transformation parameters corresponding to a digitally reconstructed radiograph (DRR) generated from the 3D medical image. Local image residual (LIR) features are calculated from local patches of the DRR and the X-ray image based on a set of 3D points in the 3D medical image extracted for the determined parameter space zone. Updated transformation parameters are calculated based on the LIR features using a hierarchical series of regressors trained for the determined parameter space zone. The hierarchical series of regressors includes a plurality of regressors each of which calculates updates for a respective subset of the transformation parameters.
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