Meeting Banner
Abstract #3624

An Image Domain Low Rank Model for Calibrationless Reconstruction of Images with Slowly Varying Phase

Evan Levine 1,2 and Brian Hargreaves 2

1 Electrical Engineering, Stanford University, Stanford, CA, United States, 2 Radiology, Stanford University, Stanford, CA, United States

Calibrationless constrained reconstruction methods employing low-rank models have attracted recent attention due to their high accuracy and sampling flexibility. Recently, k-space-based methods LORAKS and P-LORAKS were proposed for calibrationless reconstruction of images with slowly varying phase from single-channel and multi-channel parallel imaging data. For the same settings, we propose an image-domain locally low rank model to exploit slow phase variation. The model can be used to augment other image-domain constrained reconstruction models to exploit slow phase variation with little overhead.

This abstract and the presentation materials are available to members only; a login is required.

Join Here