Method and system utilizing parameter-less filter for substantially reducing streak and or noise in computer tomography (CT) images
US8965144B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | May 8, 2013 |
| Grant date | Feb 24, 2015 |
| Priority date | — |
| Expiry date | May 8, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20008
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Photon starvation causes streaks and noise and seriously impairs the diagnostic value of the CT imaging. To reduce streaks and noise, a new scheme of adaptive Gaussian filtering relies on the diffusion-derived scale-space concept in one embodiment of the current invention. In scale-space view, filtering by Gaussians of different sizes is similar to decompose the data into a sequence of scales. As the scale measure, the variance of the filter linearly relates to the noise standard deviation of a predetermined noise model in the new filtering method. The new filter has only one optional parameter that remains stable once tuned. Although single-pass processing using the new filter generally achieves desired results, iterations are optionally performed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.