Literature DB >> 18306398

Cartesian SENSE and k-t SENSE reconstruction using commodity graphics hardware.

Michael S Hansen1, David Atkinson, Thomas S Sorensen.   

Abstract

This study demonstrates that modern commodity graphics cards (GPUs) can be used to perform fast Cartesian SENSE and k-t SENSE reconstruction. Specifically, the SENSE inversion is accelerated by up to two orders of magnitude and is no longer the time-limiting step. The achieved reconstruction times are now well below the acquisition times, thus enabling real-time, interactive SENSE imaging, even with a large number of receive coils. The fast GPU reconstruction is also beneficial for datasets that are not acquired in real time. We demonstrate that it can be used for interactive adjustment of regularization parameters for k-t SENSE in the same way that one would adjust window and level settings. This enables a new way of performing imaging reconstruction, where the user chooses the setting of tunable reconstruction parameters, in real time, depending on the context in which the images are interpreted. (c) 2008 Wiley-Liss, Inc.

Mesh:

Year:  2008        PMID: 18306398     DOI: 10.1002/mrm.21523

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  19 in total

1.  Correction of B 0-induced geometric distortion variations in prospective motion correction for 7T MRI.

Authors:  Uten Yarach; Chaiya Luengviriya; Daniel Stucht; Frank Godenschweger; Peter Schulze; Oliver Speck
Journal:  MAGMA       Date:  2016-02-09       Impact factor: 2.310

2.  Fast reduction of undersampling artifacts in radial MR angiography with 3D total variation on graphics hardware.

Authors:  Florian Knoll; Markus Unger; Clemens Diwoky; Christian Clason; Thomas Pock; Rudolf Stollberger
Journal:  MAGMA       Date:  2010-03-30       Impact factor: 2.310

Review 3.  Non-Cartesian parallel imaging reconstruction.

Authors:  Katherine L Wright; Jesse I Hamilton; Mark A Griswold; Vikas Gulani; Nicole Seiberlich
Journal:  J Magn Reson Imaging       Date:  2014-01-10       Impact factor: 4.813

4.  Algebraic reconstruction technique for parallel imaging reconstruction of undersampled radial data: application to cardiac cine.

Authors:  Shu Li; Cheong Chan; Jason P Stockmann; Hemant Tagare; Ganesh Adluru; Leo K Tam; Gigi Galiana; R Todd Constable; Sebastian Kozerke; Dana C Peters
Journal:  Magn Reson Med       Date:  2014-04-18       Impact factor: 4.668

Review 5.  A survey of GPU-based acceleration techniques in MRI reconstructions.

Authors:  Haifeng Wang; Hanchuan Peng; Yuchou Chang; Dong Liang
Journal:  Quant Imaging Med Surg       Date:  2018-03

6.  Reconstruction of dynamic contrast enhanced magnetic resonance imaging of the breast with temporal constraints.

Authors:  Liyong Chen; Matthias C Schabel; Edward V R DiBella
Journal:  Magn Reson Imaging       Date:  2010-04-13       Impact factor: 2.546

Review 7.  Magnetic Resonance Sequences and Rapid Acquisition for MR-Guided Interventions.

Authors:  Adrienne E Campbell-Washburn; Anthony Z Faranesh; Robert J Lederman; Michael S Hansen
Journal:  Magn Reson Imaging Clin N Am       Date:  2015-08-12       Impact factor: 2.266

8.  Model-based iterative reconstruction for single-shot EPI at 7T.

Authors:  Uten Yarach; Myung-Ho In; Itthi Chatnuntawech; Berkin Bilgic; Frank Godenschweger; Hendrik Mattern; Alessandro Sciarra; Oliver Speck
Journal:  Magn Reson Med       Date:  2017-02-10       Impact factor: 4.668

9.  Temporally constrained reconstruction applied to MRI temperature data.

Authors:  Nick Todd; Ganesh Adluru; Allison Payne; Edward V R DiBella; Dennis Parker
Journal:  Magn Reson Med       Date:  2009-08       Impact factor: 4.668

10.  Improved fat-water reconstruction algorithm with graphics hardware acceleration.

Authors:  David H Johnson; Sreenath Narayan; Chris A Flask; David L Wilson
Journal:  J Magn Reson Imaging       Date:  2010-02       Impact factor: 4.813

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