Comparison of MR acquisition strategies for super-resolution reconstruction using the Bayesian Mean Squared Error

Publication Type:

Conference Paper

Authors:

Michele Nicastro; Ben Jeurissen; Quinten Beirinckx; Celine Smekens; Dirk H J Poot; Jan Sijbers; Arnold Jan den Dekker

Source:

International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (2021)

Abstract:

In multi-slice super-resolution reconstruction (MS-SRR), a high resolution image, referred to as SRR image, is estimated from a series of multi-slice images with a low through-plane resolution. This work proposes a framework based on the Bayesian mean squared error of the Maximum A Posteriori estimator of a SRR image to compare the accuracy and precision of two commonly adopted MR acquisition strategies in MS-SRR. The first strategy consists in acquiring a set of multi-slice
images, where each image is shifted in the through-plane direction by a different, sub-pixel distance. The latter consists in acquiring a set of multi-slice images, where each image is rotated around the frequency or phase-encoding axis by a different rotation angle. Results show that MS-SRR based on rotated multi-slice images outperforms MS-SRR based on shifted multi-slice images in terms of accuracy, precision and mean squared error of the reconstructed image.

Research area: 
Magnetic Resonance Imaging