System and method for improved real-time cine imaging
AssigneeThe Ohio State University Research Foundation
InventorsYu Ding, Orlando P. Simonetti, Yiu-Cho Chung
Life of this patent
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Abstract
A cine imaging filter and method of use that includes a denoising image-filter based on the Karhunen-Loeve transform along the temporal direction to take advantage of the high temporal correlation among images. The cine imaging filter may further include the application of a simple formula describing the quantitative noise reduction capabilities of the KLT filter as a function of eigenimage cutoff. Additionally, the filter may validate its accuracy in numerical simulation and in in-vivo real time cine images. Furthermore, exemplary embodiments of the cine imaging filter may employ a technique to automatically select the optimal eigenimage cutoff to maximize noise reduction with minimal effect on image information.
Claims18
A method of filtering a set of dynamic images, comprising:
- constructing a first matrix of images from the set of dynamic images;
- applying a transform matrix comprised of eigenvectors to the first matrix to construct a series of eigenimages, the eigenimages each having an associated eigenvalue;
- determining an eigenvalue threshold value;
- discarding eigenimages having an associated eigenvalue below the eigenvalue threshold value, wherein discarded eigenimages contain uncorrelated noise;
- and
- determining a filtered set of dynamic images from a number of remaining eigenimages in the series of eigenimages.
A tangible computer readable medium comprising computer executable instructions that when executed by a computing device perform a method of filtering a set of dynamic images, comprising:
- constructing a first matrix of images from the set of dynamic images;
- applying a transform matrix comprised of eigenvectors to the first matrix to construct a series of eigenimages, the eigenimages each having an associated eigenvalue;
- determining an eigenvalue threshold value;
- discarding eigenimages having an associated eigenvalue below the eigenvalue threshold value, wherein discarded eigenimages contain uncorrelated noise;
- and
- determining a filtered set of dynamic images from a number of remaining eigenimages.
An apparatus for filtering a set of dynamic images, comprising:
- a processor;
- a memory;
- software executing on the processor an in the memory to perform:
- constructing a first matrix of images from the set of dynamic images;
- applying a transform matrix comprised of eigenvectors to the first matrix to construct a series of eigenimages, the eigenimages each having an associated eigenvalue;
- determining an eigenvalue threshold value;
- discarding eigenimages having an associated eigenvalue below the eigenvalue threshold value;
- and
- determining a filtered set of dynamic images from a number of remaining eigenimages,
- wherein discarded eigenimages contain uncorrelated noise.
Dependencies are inferred from the claim text.