𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A statistical approach to SENSE regularization with arbitrary k-space trajectories

✍ Scribed by Leslie Ying; Bo Liu; Michael C. Steckner; Gaohong Wu; Min Wu; Shi-Jiang Li

Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
867 KB
Volume
60
Category
Article
ISSN
0740-3194

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

SENSE reconstruction suffers from an ill‐conditioning problem, which increasingly lowers the signal‐to‐noise ratio (SNR) as the reduction factor increases. Ill‐conditioning also degrades the convergence behavior of iterative conjugate gradient reconstructions for arbitrary trajectories. Regularization techniques are often used to alleviate the ill‐conditioning problem. Based on maximum a posteriori statistical estimation with a Huber Markov random field prior, this study presents a new method for adaptive regularization using the image and noise statistics. The adaptive Huber regularization addresses the blurry edges in Tikhonov regularization and the blocky effects in total variation (TV) regularization. Phantom and in vivo experiments demonstrate improved image quality and convergence speed over both the unregularized conjugate gradient method and Tikhonov regularization method, at no increase in total computation time. Magn Reson Med 60:414–421, 2008. © 2008 Wiley‐Liss, Inc.

📜 SIMILAR VOLUMES

A Method to measure arbitrary k-space tr
A Method to measure arbitrary k-space trajectories for rapid MR imaging
✍ Graeme F. Mason; Todd Harshbarger; Hoby P. Hetherington; Yantian Zhang; Gerald M 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 669 KB

## Abstract A method to measure arbitrary __k__‐space trajectories was developed to compensate for nonideal gradient performance during rapid magnetic resonance (MR) imaging with actively or nonactively shielded gradients at a magnetic field strength of 4.1 T. Accurate MR image reconstruction requi

A state space approach to forecasting th
A state space approach to forecasting the final vintage of revised data with an application to the index of industrial production
✍ K. D. Patterson 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 English ⚖ 928 KB

## Abstract There is considerable interest in the index of industrial production (IIP) as an indicator of the state of the UK's industrial base and, more generally, as a leading economic indicator. However, this index, in common with a number of key macroeconomic time series, is subject to revision