Literature DB >> 26756673

Quantitative T1 and proton density mapping with direct calculation of radiofrequency coil transmit and receive profiles from two-point variable flip angle data.

Simon Baudrexel1,2, Sarah C Reitz1,2, Stephanie Hof1,2, René-Maxime Gracien1,2, Vinzenz Fleischer3,4, Hilga Zimmermann3,4, Amgad Droby3,4, Johannes C Klein1,2, Ralf Deichmann1.   

Abstract

Quantitative T1 mapping of brain tissue is frequently based on the variable flip angle (VFA) method, acquiring spoiled gradient echo (GE) datasets at different excitation angles. However, accurate T1 calculation requires a knowledge of the sensitivity profile B1 of the radiofrequency (RF) transmit coil. For an additional derivation of proton density (PD) maps, the receive coil sensitivity profile (RP) must also be known. Mapping of B1 and RP increases the experiment duration, which may be critical when investigating patients. In this work, a method is presented for the direct calculation of B1 and RP from VFA data. Thus, quantitative maps of T1 , PD, B1 and RP can be obtained from only two spoiled GE datasets. The method is based on: (1) the exploitation of the linear relationship between 1/PD and 1/T1 in brain tissue and (2) the assumption of smoothly varying B1 and RP, so that a large number of data points can be fitted across small volume elements where B1 and RP are approximately constant. The method is tested and optimized on healthy subjects.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  B1 mapping; T1 mapping; proton density; quantitative MRI (qMRI); radiofrequency (RF); receive sensitivity; transmit sensitivity; water content

Mesh:

Substances:

Year:  2016        PMID: 26756673     DOI: 10.1002/nbm.3460

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  9 in total

1.  Evaluating quantitative proton-density-mapping methods.

Authors:  Aviv Mezer; Ariel Rokem; Shai Berman; Trevor Hastie; Brian A Wandell
Journal:  Hum Brain Mapp       Date:  2016-06-06       Impact factor: 5.038

2.  A new algebraic method for quantitative proton density mapping using multi-channel coil data.

Authors:  Dietmar Cordes; Zhengshi Yang; Xiaowei Zhuang; Karthik Sreenivasan; Virendra Mishra; Le H Hua
Journal:  Med Image Anal       Date:  2017-06-23       Impact factor: 8.545

3.  Flexible proton density (PD) mapping using multi-contrast variable flip angle (VFA) data.

Authors:  Sara Lorio; Tim M Tierney; Amy McDowell; Owen J Arthurs; Antoine Lutti; Nikolaus Weiskopf; David W Carmichael
Journal:  Neuroimage       Date:  2018-11-19       Impact factor: 6.556

4.  A Single-Scan, Rapid Whole-Brain Protocol for Quantitative Water Content Mapping With Neurobiological Implications.

Authors:  Ana-Maria Oros-Peusquens; Ricardo Loução; Zaheer Abbas; Vincent Gras; Markus Zimmermann; N J Shah
Journal:  Front Neurol       Date:  2019-12-20       Impact factor: 4.003

5.  Sensitive detection of extremely small iron oxide nanoparticles in living mice using MP2RAGE with advanced image co-registration.

Authors:  Joong H Kim; Stephen Dodd; Frank Q Ye; Andrew K Knutsen; Duong Nguyen; Haitao Wu; Shiran Su; Simone Mastrogiacomo; Thomas J Esparza; Rolf E Swenson; David L Brody
Journal:  Sci Rep       Date:  2021-01-08       Impact factor: 4.996

6.  A 3D two-point method for whole-brain water content and relaxation time mapping: Comparison with gold standard methods.

Authors:  Melissa Schall; Markus Zimmermann; Elene Iordanishvili; Yun Gu; N Jon Shah; Ana-Maria Oros-Peusquens
Journal:  PLoS One       Date:  2018-08-30       Impact factor: 3.240

7.  Quantitative MRI provides markers of intra-, inter-regional, and age-related differences in young adult cortical microstructure.

Authors:  Daniel Carey; Francesco Caprini; Micah Allen; Antoine Lutti; Nikolaus Weiskopf; Geraint Rees; Martina F Callaghan; Frederic Dick
Journal:  Neuroimage       Date:  2017-12-05       Impact factor: 6.556

8.  hMRI - A toolbox for quantitative MRI in neuroscience and clinical research.

Authors:  Karsten Tabelow; Evelyne Balteau; John Ashburner; Martina F Callaghan; Bogdan Draganski; Gunther Helms; Ferath Kherif; Tobias Leutritz; Antoine Lutti; Christophe Phillips; Enrico Reimer; Lars Ruthotto; Maryam Seif; Nikolaus Weiskopf; Gabriel Ziegler; Siawoosh Mohammadi
Journal:  Neuroimage       Date:  2019-01-21       Impact factor: 6.556

9.  Towards in vivo g-ratio mapping using MRI: Unifying myelin and diffusion imaging.

Authors:  Siawoosh Mohammadi; Martina F Callaghan
Journal:  J Neurosci Methods       Date:  2020-10-28       Impact factor: 2.390

  9 in total

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