Electronic stool subtraction using quadratic regression and intelligent morphology
US8564593B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 22, 2008 |
| Grant date | Oct 22, 2013 |
| Priority date | — |
| Expiry date | Jun 3, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30028
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An improved method for processing image voxel data representative of 3-dimensional images of a colon to remove the effects of tagged stool. The method uses parabolic curve intensity-gradient models at a transition between two material types as a function of the fraction of the two materials for each of a plurality of two-material type classes, including a gas-tissue transition model, a gas-stool transition model and a stool-tissue transition model. The voxels are classified into one of a plurality of substance classes including tagged stool, gas, tissue and unknown classes. The unknown class voxels are processed to classify the unknown class voxels into one of the two-material type classes. The two-material type class voxels are processed to determine the fractions of materials in each voxel. The intensity of the two-material type class voxels is then adjusted as a function of the fraction of the materials in the voxels.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.