Literature DB >> 34811794

Generalized Bloch model: A theory for pulsed magnetization transfer.

Jakob Assländer1,2, Cem Gultekin3, Sebastian Flassbeck1,2, Steffen J Glaser4, Daniel K Sodickson1,2.   

Abstract

PURPOSE: The paper introduces a classical model to describe the dynamics of large spin-1/2 ensembles associated with nuclei bound in large molecule structures, commonly referred to as the semi-solid spin pool, and their magnetization transfer (MT) to spins of nuclei in water. THEORY AND METHODS: Like quantum-mechanical descriptions of spin dynamics and like the original Bloch equations, but unlike existing MT models, the proposed model is based on the algebra of angular momentum in the sense that it explicitly models the rotations induced by radiofrequency (RF) pulses. It generalizes the original Bloch model to non-exponential decays, which are, for example, observed for semi-solid spin pools. The combination of rotations with non-exponential decays is facilitated by describing the latter as Green's functions, comprised in an integro-differential equation.
RESULTS: Our model describes the data of an inversion-recovery magnetization-transfer experiment with varying durations of the inversion pulse substantially better than established models. We made this observation for all measured data, but in particular for pulse durations smaller than 300 μs. Furthermore, we provide a linear approximation of the generalized Bloch model that reduces the simulation time by approximately a factor 15,000, enabling simulation of the spin dynamics caused by a rectangular RF-pulse in roughly 2 μs.
CONCLUSION: The proposed theory unifies the original Bloch model, Henkelman's steady-state theory for MT, and the commonly assumed rotation induced by hard pulses (i.e., strong and infinitesimally short applications of RF-fields) and describes experimental data better than previous models.
© 2021 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MT; parameter mapping; qMT; quantitative MRI; quantitative magnetization transfer; relaxation; relaxometry

Mesh:

Year:  2021        PMID: 34811794      PMCID: PMC8810695          DOI: 10.1002/mrm.29071

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


  15 in total

1.  Quantitative imaging of magnetization transfer using an inversion recovery sequence.

Authors:  Daniel F Gochberg; John C Gore
Journal:  Magn Reson Med       Date:  2003-03       Impact factor: 4.668

2.  Magnetization transfer effects in multislice RARE sequences.

Authors:  P S Melki; R V Mulkern
Journal:  Magn Reson Med       Date:  1992-03       Impact factor: 4.668

3.  On the origin of apparent low tissue signals in balanced SSFP.

Authors:  O Bieri; K Scheffler
Journal:  Magn Reson Med       Date:  2006-11       Impact factor: 4.668

4.  Quantitative magnetization transfer imaging using balanced SSFP.

Authors:  M Gloor; K Scheffler; O Bieri
Journal:  Magn Reson Med       Date:  2008-09       Impact factor: 4.668

5.  Quantitative magnetization transfer imaging in human brain at 3 T via selective inversion recovery.

Authors:  Richard D Dortch; Ke Li; Daniel F Gochberg; E Brian Welch; Adrienne N Dula; Ashish A Tamhane; John C Gore; Seth A Smith
Journal:  Magn Reson Med       Date:  2011-05-23       Impact factor: 4.668

6.  Understanding pulsed magnetization transfer.

Authors:  S J Graham; R M Henkelman
Journal:  J Magn Reson Imaging       Date:  1997 Sep-Oct       Impact factor: 4.813

7.  Understanding aqueous and non-aqueous proton T1 relaxation in brain.

Authors:  Alan P Manning; Alex L MacKay; Carl A Michal
Journal:  J Magn Reson       Date:  2021-01-05       Impact factor: 2.229

8.  A model for magnetization transfer in tissues.

Authors:  C Morrison; R M Henkelman
Journal:  Magn Reson Med       Date:  1995-04       Impact factor: 4.668

9.  Quantitative interpretation of magnetization transfer.

Authors:  R M Henkelman; X Huang; Q S Xiang; G J Stanisz; S D Swanson; M J Bronskill
Journal:  Magn Reson Med       Date:  1993-06       Impact factor: 4.668

10.  Magnetization transfer contrast (MTC) and tissue water proton relaxation in vivo.

Authors:  S D Wolff; R S Balaban
Journal:  Magn Reson Med       Date:  1989-04       Impact factor: 4.668

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  1 in total

1.  Cramér-Rao bound-informed training of neural networks for quantitative MRI.

Authors:  Xiaoxia Zhang; Quentin Duchemin; Kangning Liu; Cem Gultekin; Sebastian Flassbeck; Carlos Fernandez-Granda; Jakob Assländer
Journal:  Magn Reson Med       Date:  2022-03-28       Impact factor: 3.737

  1 in total

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