Literature DB >> 12878262

Bi-exponential proton transverse relaxation rate (R2) image analysis using RF field intensity-weighted spin density projection: potential for R2 measurement of iron-loaded liver.

Paul R Clark1, Wanida Chua-anusorn, Timothy G St Pierre.   

Abstract

A bi-exponential proton transverse relaxation rate (R(2)) image analysis technique has been developed that enables the discrimination of dual compartment transverse relaxation behavior in systems with rapid transverse relaxation enhancement. The technique is particularly well suited to single spin-echo imaging studies where a limited number of images are available for analysis. The bi-exponential R(2) image analysis is facilitated by estimation of the initial proton spin density signal within the region of interest weighted by the RF field intensities. The RF field intensity-weighted spin density map is computed by solving a boundary value problem presented by a high spin density, long T(2) material encompassing the region for analysis. The accuracy of the bi-exponential R(2) image analysis technique is demonstrated on a simulated dual compartment manganese chloride phantom system with relaxation rates and relative population densities between the two compartments similar to the bi-exponential transverse relaxation behavior expected of iron loaded liver. Results from analysis of the phantoms illustrate the potential of bi-exponential R(2) image analysis with RF field intensity-weighted spin density projection for quantifying transverse relaxation enhancement as it occurs in liver iron overload.

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Year:  2003        PMID: 12878262     DOI: 10.1016/s0730-725x(03)00080-8

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  19 in total

Review 1.  Magnetic resonance imaging quantification of liver iron.

Authors:  Claude B Sirlin; Scott B Reeder
Journal:  Magn Reson Imaging Clin N Am       Date:  2010-08       Impact factor: 2.266

2.  MRI R2 and R2* mapping accurately estimates hepatic iron concentration in transfusion-dependent thalassemia and sickle cell disease patients.

Authors:  John C Wood; Cathleen Enriquez; Nilesh Ghugre; J Michael Tyzka; Susan Carson; Marvin D Nelson; Thomas D Coates
Journal:  Blood       Date:  2005-04-28       Impact factor: 22.113

Review 3.  Magnetic resonance imaging measurement of iron overload.

Authors:  John C Wood
Journal:  Curr Opin Hematol       Date:  2007-05       Impact factor: 3.284

4.  Multicomponent T2 relaxation studies of the avian egg.

Authors:  Dimitris Mitsouras; Robert V Mulkern; Stephan E Maier
Journal:  Magn Reson Med       Date:  2015-06-02       Impact factor: 4.668

5.  Magnetic susceptibility as a B0 field strength independent MRI biomarker of liver iron overload.

Authors:  Diego Hernando; Rachel J Cook; Carol Diamond; Scott B Reeder
Journal:  Magn Reson Med       Date:  2013-06-25       Impact factor: 4.668

Review 6.  Topics on quantitative liver magnetic resonance imaging.

Authors:  Yì Xiáng J Wáng; Xiaoqi Wang; Peng Wu; Yajie Wang; Weibo Chen; Huijun Chen; Jianqi Li
Journal:  Quant Imaging Med Surg       Date:  2019-11

Review 7.  Quantification of liver iron with MRI: state of the art and remaining challenges.

Authors:  Diego Hernando; Yakir S Levin; Claude B Sirlin; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2014-03-03       Impact factor: 4.813

8.  In vivo differentiation of two vessel wall layers in lower extremity peripheral vein bypass grafts: application of high-resolution inner-volume black blood 3D FSE.

Authors:  Dimitris Mitsouras; Christopher D Owens; Michael S Conte; Hale Ersoy; Mark A Creager; Frank J Rybicki; Robert V Mulkern
Journal:  Magn Reson Med       Date:  2009-09       Impact factor: 4.668

Review 9.  Magnetic resonance imaging assessment of excess iron in thalassemia, sickle cell disease and other iron overload diseases.

Authors:  John C Wood; Nilesh Ghugre
Journal:  Hemoglobin       Date:  2008       Impact factor: 0.849

10.  Quantitative assessment of iron accumulation in the deep gray matter of multiple sclerosis by magnetic field correlation imaging.

Authors:  Y Ge; J H Jensen; H Lu; J A Helpern; L Miles; M Inglese; J S Babb; J Herbert; R I Grossman
Journal:  AJNR Am J Neuroradiol       Date:  2007-09-24       Impact factor: 3.825

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