๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Magnetic resonance imaging in nonlinear fields with nonlinear reconstruction

โœ Scribed by Quang M. Tieng; Viktor Vegh


Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
831 KB
Volume
39B
Category
Article
ISSN
1552-5031

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Parallel imaging with nonlinear reconstr
โœ Florian Knoll; Christian Clason; Kristian Bredies; Martin Uecker; Rudolf Stollbe ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 915 KB

## Abstract A new approach based on nonlinear inversion for autocalibrated parallel imaging with arbitrary sampling patterns is presented. By extending the iteratively regularized Gaussโ€“Newton method with variational penalties, the improved reconstruction quality obtained from joint estimation of i

Magnetic resonance spectroscopic imaging
โœ Xiao-Ping Zhu; An-Tao Du; Geon-Ho Jahng; Brian J. Soher; Andrew A. Maudsley; Mic ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 432 KB

## Abstract A new method, based on a deformable shapeโ€intensity model (DSM), was developed to improve the signalโ€toโ€noise ratio (SNR) of multidimensional magnetic resonance spectroscopic imaging (MRSI) data sets without affecting spectral lineshapes and linewidths. Improvements with DSM, compared t

Undesired gradients in low-field magneti
โœ Rafi Ullah; Muhammad Sabieh Anwar ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 540 KB

## Abstract Magnetic resonance imaging (MRI) is a beautiful application of the phenomenon of nuclear magnetic resonance (NMR). Classically, the field strength is regarded as one measure of its quality because high field strength gives higher signal to noise ratios, better resolution and reduced sca

Padรฉ methods for reconstruction and feat
โœ Martina F. Callaghan; David J. Larkman; Joseph V. Hajnal ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 338 KB

## Abstract Methods utilizing Padรฉ approximants are investigated for implementation with magnetic resonance imaging data and are presented both for direct image reconstruction and for feature extraction. Padรฉ approximants are a numerical tool that can be used to accelerate the convergence of a slow