English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Identification of signal bias in the variable flip angle method by linear display of the algebraic Ernst equation

Helms, G., Dathe, H., Weiskopf, N., & Dechent, P. (2011). Identification of signal bias in the variable flip angle method by linear display of the algebraic Ernst equation. Magnetic Resonance in Medicine, 66(3), 669-677. doi:10.1002/mrm.22849.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Helms, Gunther1, Author
Dathe, Henning2, Author
Weiskopf, Nikolaus3, Author           
Dechent, Peter1, Author
Affiliations:
1MR Research in Neurology and Psychiatry, Department of Cognitive Neurology, University Medical Center, Göttingen, Germany, ou_persistent22              
2Biomechanics Group, Department of Orthodontics, University Medical Center, Göttingen, Germany, ou_persistent22              
3Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom, ou_persistent22              

Content

show
hide
Free keywords: T1-relaxation; Quantification; Ernst equation; Variable flip angle experiment
 Abstract: A novel linear parameterization for the variable flip angle method for longitudinal relaxation time T(1) quantification from spoiled steady state MRI is derived from the half angle tangent transform, τ, of the flip angle. Plotting the signal S at coordinates x=Sτ and y=S/τ, respectively, establishes a line that renders signal amplitude and relaxation term separately as y-intercept and slope. This representation allows for estimation of the respective parameter from the experimental data. A comprehensive analysis of noise propagation is performed. Numerical results for efficient optimization of longitudinal relaxation time and proton density mapping experiments are derived. Appropriate scaling allows for a linear presentation of data that are acquired at different short pulse repetition times, TR << T1 thus increasing flexibility in the data acquisition by removing the limitation of a single pulse repetition time. Signal bias, like due to slice-selective excitation or imperfect spoiling, can be readily identified by systematic deviations from the linear plot. The method is illustrated and validated by 3T experiments on phantoms and human brain.

Details

show
hide
Language(s): eng - English
 Dates: 2011-09-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1002/mrm.22849
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Magnetic Resonance in Medicine
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 66 (3) Sequence Number: - Start / End Page: 669 - 677 Identifier: ISSN: 0740-3194
CoNE: https://pure.mpg.de/cone/journals/resource/954925538149