Literature DB >> 15065237

Inversion recovery TrueFISP: quantification of T(1), T(2), and spin density.

Peter Schmitt1, Mark A Griswold, Peter M Jakob, Markus Kotas, Vikas Gulani, Michael Flentje, Axel Haase.   

Abstract

A novel procedure is proposed to extract T(1), T(2), and relative spin density from the signal time course sampled with a series of TrueFISP images after spin inversion. Generally, the recovery of the magnetization during continuous TrueFISP imaging can be described in good approximation by a three parameter monoexponential function S(t) = S(stst)(1-INV exp(-t/T(*) (1)). This apparent relaxation time T(*) (1) <or= T(1) depends on the flip angle as well as on both T(1) and T(2). Here, it is shown that the ratio T(1)/T(2) can be directly extracted from the inversion factor INV, which describes the relation of the signal value extrapolated to t = 0 and the steady-state signal. Analytical expressions are given for the derivation of T(1), T(2), and relative spin density directly from the fit parameters. Phantom results show excellent agreement with single point reference measurements. In human volunteers T(1), T(2), and spin density maps in agreement with literature values were obtained. Copyright 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15065237     DOI: 10.1002/mrm.20058

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


  72 in total

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Journal:  J Magn Reson Imaging       Date:  2012-01-26       Impact factor: 4.813

2.  Ultrafast compartmentalized relaxation time mapping with linear algebraic modeling.

Authors:  Yi Zhang; Xiaoyang Liu; Jinyuan Zhou; Paul A Bottomley
Journal:  Magn Reson Med       Date:  2017-04-11       Impact factor: 4.668

3.  MR fingerprinting Deep RecOnstruction NEtwork (DRONE).

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Journal:  Magn Reson Med       Date:  2018-04-06       Impact factor: 4.668

Review 4.  Inferring brain tissue composition and microstructure via MR relaxometry.

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5.  MR fingerprinting using fast imaging with steady state precession (FISP) with spiral readout.

Authors:  Yun Jiang; Dan Ma; Nicole Seiberlich; Vikas Gulani; Mark A Griswold
Journal:  Magn Reson Med       Date:  2014-12-09       Impact factor: 4.668

6.  Preclinical MR fingerprinting (MRF) at 7 T: effective quantitative imaging for rodent disease models.

Authors:  Ying Gao; Yong Chen; Dan Ma; Yun Jiang; Kelsey A Herrmann; Jason A Vincent; Katherine M Dell; Mitchell L Drumm; Susann M Brady-Kalnay; Mark A Griswold; Chris A Flask; Lan Lu
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7.  Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting.

Authors:  Zhenghan Fang; Yong Chen; Mingxia Liu; Lei Xiang; Qian Zhang; Qian Wang; Weili Lin; Dinggang Shen
Journal:  IEEE Trans Med Imaging       Date:  2019-02-13       Impact factor: 10.048

8.  MR fingerprinting using the quick echo splitting NMR imaging technique.

Authors:  Yun Jiang; Dan Ma; Renate Jerecic; Jeffrey Duerk; Nicole Seiberlich; Vikas Gulani; Mark A Griswold
Journal:  Magn Reson Med       Date:  2016-02-28       Impact factor: 4.668

9.  Automated patient-specific optimization of three-dimensional double-inversion recovery magnetic resonance imaging.

Authors:  Refaat E Gabr; Xiaojun Sun; Amol S Pednekar; Ponnada A Narayana
Journal:  Magn Reson Med       Date:  2015-03-11       Impact factor: 4.668

Review 10.  Cardiac imaging techniques for physicians: late enhancement.

Authors:  Peter Kellman; Andrew E Arai
Journal:  J Magn Reson Imaging       Date:  2012-09       Impact factor: 4.813

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