De-noising of real-time dynamic magnetic resonance images by the combined application of karhunen-loeve transform (KLT) and wavelet filtering
US9269127B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2014 |
| Grant date | Feb 23, 2016 |
| Priority date | — |
| Expiry date | Apr 10, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A hybrid filtering method called Karhunen Loeve Transform-Wavelet (KW) filtering is presented to de-noise dynamic cardiac magnetic resonance images that simultaneously takes advantage of the intrinsic spatial and temporal redundancies of real-time cardiac cine. This filtering technique combines a temporal Karhunen-Loeve transform (KLT) and spatial adaptive wavelet filtering. KW filtering has four steps. The first is applying the KLT along the temporal direction, generating a series of “eigenimages”. The second is applying Marcenko-Pastur (MP) law to identify and discard the noise-only eigenimages. The third applying a 2-D spatial wavelet filter with adaptive threshold to each eigenimage to define the wavelet filter strength for each of the eigenimages based on the noise variance and standard deviation of the signal. Lastly, the inverse KLT is applied to the filtered eigenimages to generate a new series of cine images with reduced image noise.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.