发明授权
US07831078B2 System and method for statistical shape model based segmentation of intravascular ultrasound and optical coherence tomography images
有权
用于基于统计形态模型的血管内超声和光学相干断层扫描图像分割的系统和方法
- 专利标题: System and method for statistical shape model based segmentation of intravascular ultrasound and optical coherence tomography images
- 专利标题(中): 用于基于统计形态模型的血管内超声和光学相干断层扫描图像分割的系统和方法
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申请号: US11779413申请日: 2007-07-18
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公开(公告)号: US07831078B2公开(公告)日: 2010-11-09
- 发明人: Gozde Unal , Susann Bucher , Gregory G. Slabaugh , Tong Fang
- 申请人: Gozde Unal , Susann Bucher , Gregory G. Slabaugh , Tong Fang
- 申请人地址: US PA Malvern
- 专利权人: Siemens Medical Solutions USA, Inc.
- 当前专利权人: Siemens Medical Solutions USA, Inc.
- 当前专利权人地址: US PA Malvern
- 主分类号: G06K9/00
- IPC分类号: G06K9/00
摘要:
A method for segmenting intravascular images includes acquiring a series of digitized images acquired from inside a vessel, each said image comprising a plurality of intensities corresponding to a 2-dimensional grid of pixels, providing a precomputed set of shapes for modeling contours of vessel wall boundaries, wherein a contour can be expressed as a sum of a mean shape and a inner product of shape modes and shape weights, initializing a boundary contour for one of said set of images, initializing said shape weights by projecting a contour into said shape modes, updating said shape weights from differential equations of said shape weights, and computing a contour by summing said mean shape and said inner product of shape modes and updated shape weights.
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