Patch based reconstruction of undersampled data (PROUD) for high signal-to-noise ratio and high frame rate contrast enhanced liver imaging.

ABSTRACT:

Purpose

High spatial-temporal four-dimensional imaging with large volume coverage is necessary to accurately capture and characterize liver lesions. Traditionally, parallel imaging and adapted sampling are used toward this goal, but they typically result in a loss of signal to noise. Furthermore, residual under-sampling artifacts can be temporally varying and complicate the quantitative analysis of contrast enhancement curves needed for pharmacokinetic modeling. We propose to overcome these problems using a novel patch-based regularization approach called Patch-based Reconstruction Of Under-sampled Data (PROUD).

Theory and methods

PROUD produces high frame rate image reconstructions by exploiting the strong similarities in spatial patches between successive time frames to ov

SUBMITTER: Cooper MA 

PROVIDER: S-EPMC4458243 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature