System and method for statistical shape model based segmentation of intravascular ultrasound and optical coherence tomography images
US7831078B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 18, 2007 |
| Grant date | Nov 9, 2010 |
| Priority date | — |
| Expiry date | Sep 7, 2029 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S128/922
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.