Literature DB >> 16888776

Feasibility of dynamic susceptibility contrast perfusion MR imaging at 3T using a standard quadrature head coil and eight-channel phased-array coil with and without SENSE reconstruction.

Janine M Lupo1, Michael C Lee, Eric T Han, Soonmee Cha, Susan M Chang, Mitchel S Berger, Sarah J Nelson.   

Abstract

PURPOSE: To investigate changes in image and dynamic signal-to-noise ratios (SNRs) of the DeltaR2* curve, as well as magnetic susceptibility-induced artifacts between a standard quadrature head coil and an eight-channel phased-array coil with and without sensitivity-encoding (SENSE) at 3T, compared to the current clinical standard head coil acquisition at 1.5T.
MATERIALS AND METHODS: Dynamic susceptibility contrast (DSC) perfusion MRI was performed on 80 brain tumor patients using a gradient-echo, echo-planar imaging (EPI) sequence. Image and dynamic SNR were compared between 1.5T and 3T field strengths, a quadrature and eight-channel phased-array coil, and a conventional vs. partially parallel EPI acquisition with SENSE reconstruction. The amount of geometric distortion and signal dropout was quantified and compared between conventional and SENSE EPI acquisitions within the same exam at 3T.
RESULTS: An initial 2.6-fold elevation in dynamic SNR was observed in normal-appearing white matter when doubling the field strength (P < 0.001), with an additional 1.7-fold increase found when employing an eight-channel phased-array coil (P < 0.002). Compared to the standard 3T eight-channel coil acquisition, the implementation of SENSE reduced the number of voxels experiencing large anterior shifts in the phase-encode direction, lowered the volume of signal dropout by 2.0-11.5%, and allowed a 1.4-fold increase in slice coverage, while only decreasing the dynamic SNR by 22%.
CONCLUSION: SENSE EPI at 3T yielded a significant improvement in dynamic SNR over the 1.5T acquisitions. A significant reduction in magnetic susceptibility-induced artifacts was achieved with SENSE EPI compared to the standard EPI eight-channel coil acquisition at 3T.

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Year:  2006        PMID: 16888776     DOI: 10.1002/jmri.20673

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  9 in total

1.  Evaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapy.

Authors:  Suja Saraswathy; Forrest W Crawford; Kathleen R Lamborn; Andrea Pirzkall; Susan Chang; Soonmee Cha; Sarah J Nelson
Journal:  J Neurooncol       Date:  2008-09-23       Impact factor: 4.130

2.  Multiparametric characterization of grade 2 glioma subtypes using magnetic resonance spectroscopic, perfusion, and diffusion imaging.

Authors:  Wei Bian; Inas S Khayal; Janine M Lupo; Colleen McGue; Scott Vandenberg; Kathleen R Lamborn; Susan M Chang; Soonmee Cha; Sarah J Nelson
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

3.  Evaluation of a multiple spin- and gradient-echo (SAGE) EPI acquisition with SENSE acceleration: applications for perfusion imaging in and outside the brain.

Authors:  Jack T Skinner; Ryan K Robison; Christopher P Elder; Allen T Newton; Bruce M Damon; C Chad Quarles
Journal:  Magn Reson Imaging       Date:  2014-08-29       Impact factor: 2.546

4.  Quantitative analysis of spatial distortions of diffusion techniques at 3T.

Authors:  Duan Xu; Michael C Lee; Julio Carballido-Gamio; Matthew Barkovich; Sharmila Majumdar; Daniel B Vigneron; Sarah J Nelson
Journal:  Magn Reson Imaging       Date:  2010-01-21       Impact factor: 2.546

Review 5.  Advanced techniques using contrast media in neuroimaging.

Authors:  Jean-Christophe Ferré; Mark S Shiroishi; Meng Law
Journal:  Magn Reson Imaging Clin N Am       Date:  2012-09-25       Impact factor: 2.266

6.  Multicenter, double-blind, randomized, intra-individual crossover comparison of gadobenate dimeglumine and gadopentetate dimeglumine in MRI of brain tumors at 3 tesla.

Authors:  Zoran Rumboldt; Howard A Rowley; Fred Steinberg; Joseph A Maldjian; Jordi Ruscalleda; Lars Gustafsson; Stefano Bastianello
Journal:  J Magn Reson Imaging       Date:  2009-04       Impact factor: 4.813

7.  Relationship of pre-surgery metabolic and physiological MR imaging parameters to survival for patients with untreated GBM.

Authors:  Forrest W Crawford; Inas S Khayal; Colleen McGue; Suja Saraswathy; Andrea Pirzkall; Soonmee Cha; Kathleen R Lamborn; Susan M Chang; Mitchel S Berger; Sarah J Nelson
Journal:  J Neurooncol       Date:  2008-11-15       Impact factor: 4.130

8.  Uninterpretable Dynamic Susceptibility Contrast-Enhanced Perfusion MR Images in Patients with Post-Treatment Glioblastomas: Cross-Validation of Alternative Imaging Options.

Authors:  Young Jin Heo; Ho Sung Kim; Ji Eun Park; Choong-Gon Choi; Sang Joon Kim
Journal:  PLoS One       Date:  2015-08-21       Impact factor: 3.240

9.  Analysis of heterogeneity in T2-weighted MR images can differentiate pseudoprogression from progression in glioblastoma.

Authors:  Thomas C Booth; Timothy J Larkin; Yinyin Yuan; Mikko I Kettunen; Sarah N Dawson; Daniel Scoffings; Holly C Canuto; Sarah L Vowler; Heide Kirschenlohr; Michael P Hobson; Florian Markowetz; Sarah Jefferies; Kevin M Brindle
Journal:  PLoS One       Date:  2017-05-17       Impact factor: 3.240

  9 in total

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