Literature DB >> 22807160

Estimating T1 from multichannel variable flip angle SPGR sequences.

Joshua D Trzasko1, Petrice M Mostardi, Stephen J Riederer, Armando Manduca.   

Abstract

Quantitative estimation of T1 is a challenging but important task inherent to many clinical applications. The most commonly used paradigm for estimating T1 in vivo involves performing a sequence of spoiled gradient-recalled echo acquisitions at different flip angles, followed by fitting of an exponential model to the data. Although there has been substantial work comparing different fitting methods, there has been little discussion on how these methods should be applied for data acquired using multichannel receivers. In this note, we demonstrate that the manner in which multichannel data is handled can have a substantial impact on T1 estimation performance and should be considered equally as important as choice of flip angles or fitting strategy.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22807160      PMCID: PMC3657336          DOI: 10.1002/mrm.24401

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


  19 in total

1.  FLASH imaging: rapid NMR imaging using low flip-angle pulses. 1986.

Authors:  A Haase; J Frahm; D Matthaei; W Hänicke; K-D Merboldt
Journal:  J Magn Reson       Date:  2011-12       Impact factor: 2.229

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Authors:  P B Roemer; W A Edelstein; C E Hayes; S P Souza; O M Mueller
Journal:  Magn Reson Med       Date:  1990-11       Impact factor: 4.668

3.  Rapid high-resolution T(1) mapping by variable flip angles: accurate and precise measurements in the presence of radiofrequency field inhomogeneity.

Authors:  Hai-Ling Margaret Cheng; Graham A Wright
Journal:  Magn Reson Med       Date:  2006-03       Impact factor: 4.668

Review 4.  Modeling tracer kinetics in dynamic Gd-DTPA MR imaging.

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Journal:  J Magn Reson Imaging       Date:  1997 Jan-Feb       Impact factor: 4.813

5.  Adaptive non-local means denoising of MR images with spatially varying noise levels.

Authors:  José V Manjón; Pierrick Coupé; Luis Martí-Bonmatí; D Louis Collins; Montserrat Robles
Journal:  J Magn Reson Imaging       Date:  2010-01       Impact factor: 4.813

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Authors:  J Sijbers; A J den Dekker; J Van Audekerke; M Verhoye; D Van Dyck
Journal:  Magn Reson Imaging       Date:  1998       Impact factor: 2.546

7.  Age-related changes in the pediatric brain: proton T1 in healthy children and in children with sickle cell disease.

Authors:  R Grant Steen; Jason Schroeder
Journal:  Magn Reson Imaging       Date:  2003-01       Impact factor: 2.546

8.  A robust methodology for in vivo T1 mapping.

Authors:  Joëlle K Barral; Erik Gudmundson; Nikola Stikov; Maryam Etezadi-Amoli; Petre Stoica; Dwight G Nishimura
Journal:  Magn Reson Med       Date:  2010-10       Impact factor: 4.668

9.  Magnetic resonance relaxation time mapping in multiple sclerosis: normal appearing white matter and the "invisible" lesion load.

Authors:  S Barbosa; L D Blumhardt; N Roberts; T Lock; R H Edwards
Journal:  Magn Reson Imaging       Date:  1994       Impact factor: 2.546

10.  Linear least-squares method for unbiased estimation of T1 from SPGR signals.

Authors:  Lin-Ching Chang; Cheng Guan Koay; Peter J Basser; Carlo Pierpaoli
Journal:  Magn Reson Med       Date:  2008-08       Impact factor: 4.668

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  10 in total

1.  Maximum Likelihood Reconstruction for Magnetic Resonance Fingerprinting.

Authors:  Bo Zhao; Kawin Setsompop; Huihui Ye; Stephen F Cauley; Lawrence L Wald
Journal:  IEEE Trans Med Imaging       Date:  2016-02-18       Impact factor: 10.048

2.  Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels.

Authors:  Gopal Nataraj; Jon-Fredrik Nielsen; Clayton Scott; Jeffrey A Fessler
Journal:  IEEE Trans Med Imaging       Date:  2018-03-20       Impact factor: 10.048

3.  Robust and efficient pharmacokinetic parameter non-linear least squares estimation for dynamic contrast enhanced MRI of the prostate.

Authors:  Soudabeh Kargar; Eric A Borisch; Adam T Froemming; Akira Kawashima; Lance A Mynderse; Eric G Stinson; Joshua D Trzasko; Stephen J Riederer
Journal:  Magn Reson Imaging       Date:  2017-12-24       Impact factor: 2.546

4.  Fast and high-resolution quantitative mapping of tissue water content with full brain coverage for clinically-driven studies.

Authors:  Mohammad Sabati; Andrew A Maudsley
Journal:  Magn Reson Imaging       Date:  2013-09-17       Impact factor: 2.546

5.  Fast quantitative MRI as a nonlinear tomography problem.

Authors:  Alessandro Sbrizzi; Oscar van der Heide; Martijn Cloos; Annette van der Toorn; Hans Hoogduin; Peter R Luijten; Cornelis A T van den Berg
Journal:  Magn Reson Imaging       Date:  2017-11-09       Impact factor: 2.546

6.  Bias and SNR of T1 estimates derived from joint fitting of actual flip-angle and FLASH imaging data with variable flip angles.

Authors:  M Dylan Tisdall
Journal:  Proc Int Soc Magn Reson Med Sci Meet Exhib Int Soc Magn Reson Med Sci Meet Exhib       Date:  2017-04

7.  Model-based MR parameter mapping with sparsity constraints: parameter estimation and performance bounds.

Authors:  Bo Zhao; Fan Lam; Zhi-Pei Liang
Journal:  IEEE Trans Med Imaging       Date:  2014-05-09       Impact factor: 10.048

8.  NOVIFAST: A Fast Algorithm for Accurate and Precise VFA MRI Mapping.

Authors:  Gabriel Ramos-Llorden; Gonzalo Vegas-Sanchez-Ferrero; Marcus Bjork; Floris Vanhevel; Paul M Parizel; Raul San Jose Estepar; Arnold J den Dekker; Jan Sijbers
Journal:  IEEE Trans Med Imaging       Date:  2018-06-04       Impact factor: 10.048

9.  k-t FASTER: Acceleration of functional MRI data acquisition using low rank constraints.

Authors:  Mark Chiew; Stephen M Smith; Peter J Koopmans; Nadine N Graedel; Thomas Blumensath; Karla L Miller
Journal:  Magn Reson Med       Date:  2014-08-28       Impact factor: 4.668

10.  Optimal configuration for relaxation times estimation in complex spin echo imaging.

Authors:  Fabio Baselice; Giampaolo Ferraioli; Alessandro Grassia; Vito Pascazio
Journal:  Sensors (Basel)       Date:  2014-01-28       Impact factor: 3.576

  10 in total

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