Literature DB >> 7776877

A model for magnetization transfer in tissues.

C Morrison1, R M Henkelman.   

Abstract

Magnetization transfer in several tissues is measured and successfully modeled using a two-pool model of exchange. The line shape for the semi-solid pool is characterized by a superLorentzian and the liquid pool by a Lorentzian. The tissues investigated were white and gray matter, optic nerve, muscle, and liver. All tissues the authors studied are characterized by the same model but differ in the parameter values of the model. Blood and cerebral spinal fluid (CSF) were also investigated. The two-pool model with a Lorentzian line shape for both the semi-solid and liquid pools modeled the magnetization transfer in blood. In CSF, as expected, there is no measurable exchange of magnetization. The T2B associated with the semi-solid pool was short (approximately 10 microseconds) for all tissues indicating a fairly rigid semi-solid pool. In addition characterization of the line shape as superLorentzian indicates molecules such as integral membrane proteins or lipids in membranes are likely molecules participating in the exchange. Conversely, in blood large globular proteins are indicated due to the Lorentzian nature of the semi-solid pool and a T2B approximately 300 microseconds.

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Year:  1995        PMID: 7776877     DOI: 10.1002/mrm.1910330404

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


  78 in total

1.  Multi-angle ratiometric approach to measure chemical exchange in amide proton transfer imaging.

Authors:  Zhongliang Zu; Vaibhav A Janve; Ke Li; Mark D Does; John C Gore; Daniel F Gochberg
Journal:  Magn Reson Med       Date:  2011-12-08       Impact factor: 4.668

Review 2.  Methodology of diffusion-weighted, diffusion tensor and magnetisation transfer imaging.

Authors:  S J Price; D J Tozer; J H Gillard
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

3.  A new approach for on-resonance magnetization transfer parameter optimization.

Authors:  D Grenier; S Deval; A Briguet
Journal:  MAGMA       Date:  1998-12       Impact factor: 2.310

4.  Optimization of on-resonant magnetization transfer contrast in coronary vein MRI.

Authors:  Christian T Stoeck; Peng Hu; Dana C Peters; Kraig V Kissinger; Beth Goddu; Lois Goepfert; Long Ngo; Warren J Manning; Sebastian Kozerke; Reza Nezafat
Journal:  Magn Reson Med       Date:  2010-12       Impact factor: 4.668

5.  Dynamics of paramagnetic agents by off-resonance rotating frame technique in the presence of magnetization transfer effect.

Authors:  Huiming Zhang; Yang Xie
Journal:  J Magn Reson       Date:  2006-11-22       Impact factor: 2.229

6.  Magnetization transfer effects on the efficiency of flow-driven adiabatic fast passage inversion of arterial blood.

Authors:  Luis Hernandez-Garcia; David P Lewis; Bradford Moffat; Craig A Branch
Journal:  NMR Biomed       Date:  2007-12       Impact factor: 4.044

7.  Magnetization transfer in liposome and proteoliposome samples that mimic the protein and lipid composition of myelin.

Authors:  Weiqi Yang; Jae-Seung Lee; Maureen Leninger; Johannes Windschuh; Nathaniel J Traaseth; Alexej Jerschow
Journal:  NMR Biomed       Date:  2019-05-06       Impact factor: 4.044

Review 8.  Advanced MRI strategies for assessing spinal cord injury.

Authors:  Seth A Smith; James J Pekar; Peter C M van Zijl
Journal:  Handb Clin Neurol       Date:  2012

9.  Relayed nuclear Overhauser enhancement sensitivity to membrane Cho phospholipids.

Authors:  Zhongliang Zu; Eugene C Lin; Elizabeth A Louie; Junzhong Xu; Hua Li; Jingping Xie; Christopher L Lankford; Eduard Y Chekmenev; Scott D Swanson; Mark D Does; John C Gore; Daniel F Gochberg
Journal:  Magn Reson Med       Date:  2020-04-03       Impact factor: 4.668

10.  Investigation of optimizing and translating pH-sensitive pulsed-chemical exchange saturation transfer (CEST) imaging to a 3T clinical scanner.

Authors:  Phillip Zhe Sun; Thomas Benner; Ashok Kumar; A Gregory Sorensen
Journal:  Magn Reson Med       Date:  2008-10       Impact factor: 4.668

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