Image segmentation
US8160357B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Jul 30, 2010 |
| Grant date | Apr 17, 2012 |
| Priority date | — |
| Expiry date | Jul 30, 2030 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S128/924
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
According to one embodiment there is provided a method of selecting a plurality of M atlases from among a larger group of N candidate atlases to form a multi-atlas data set to be used for computer automated segmentation of novel image data sets to mark objects of interest therein. A set of candidate atlases is used containing a reference image data set and segmentation data. Each of the candidate atlases is segmented against the others in a leave-one-out strategy, in which the candidate atlases are used as training data for each other. For each candidate atlas in turn, the following is carried out: registering; segmenting; computing an overlap; computing a value of the similarity measure for each of the registrations; and obtaining a set of regression parameters by performing a regression with the similarity measure being the independent variable and the overlap being the dependent variable. The M atlases are then selected from among all the N candidate atlases to form the multi-atlas data set, the M atlases being those atlases determined to collectively provide the highest aggregate overlap over all the training data image sets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.