Literature DB >> 8423715

Ni-DTPA doped agarose gel--a phantom material for Gd-DTPA enhancement measurements.

P S Tofts1, B Shuter, J M Pope.   

Abstract

In order to study the relationship between the concentration of Gd-DTPA in tissue, and the resulting changes in relaxation times and signal intensity, a phantom material that has similar relaxation times to tissue and that can be doped with Gd-DTPA is required. The "tissue-equivalent" material should not contain Gd; nor should it alter the relaxivities of Gd-DTPA from their values in aqueous solution (R1 = 4.5 sec-1 mM-1; R2 = 5.5 sec-1 mM-1 at 1.5 T). Conventional materials, based on CuSO4-, MnCl2-, or GdCl3/LaCl3-agarose mixtures, are not suitable, since Gd is displaced from the Gd-DTPA chelate. The new material, consisting of Ni-DTPA dissolved in agarose, is easy to prepare and does not interact with Gd-DTPA. Its relaxation times are stable; relaxivity R1 was within 4% of its aqueous value over 109 days. T1s have low dependence on temperature (0.2-1.0%/degrees C at 21 degrees C) and on field strength, allowing the material to be used as a relaxation time standard for quality assurance. Equations giving the concentration of Ni-DTPA and agarose to produce a required T1 and T2 are provided.

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Year:  1993        PMID: 8423715     DOI: 10.1016/0730-725x(93)90420-i

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


  7 in total

1.  Development and characterization of a dynamic lesion phantom for the quantitative evaluation of dynamic contrast-enhanced MRI.

Authors:  Melanie Freed; Jacco A de Zwart; Prasanna Hariharan; Matthew R Myers; Aldo Badano
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

2.  Precise measurement of renal filtration and vascular parameters using a two-compartment model for dynamic contrast-enhanced MRI of the kidney gives realistic normal values.

Authors:  Paul S Tofts; Marica Cutajar; Iosif A Mendichovszky; A Michael Peters; Isky Gordon
Journal:  Eur Radiol       Date:  2012-03-14       Impact factor: 5.315

3.  Steady-state first-pass perfusion (SSFPP): a new approach to 3D first-pass myocardial perfusion imaging.

Authors:  Shivraman Giri; Hui Xue; Andrei Maiseyeu; Randall Kroeker; Sanjay Rajagopalan; Richard D White; Sven Zuehlsdorff; Subha V Raman; Orlando P Simonetti
Journal:  Magn Reson Med       Date:  2013-02-25       Impact factor: 4.668

4.  Simultaneous myocardial strain and dark-blood perfusion imaging using a displacement-encoded MRI pulse sequence.

Authors:  Yuan Le; Ashley Stein; Colin Berry; Peter Kellman; Eric E Bennett; Joni Taylor; Katherine Lucas; Rael Kopace; Christophe Chefd'Hotel; Christine H Lorenz; Pierre Croisille; Han Wen
Journal:  Magn Reson Med       Date:  2010-09       Impact factor: 4.668

5.  Modified look-locker inversion recovery T1 mapping indices: assessment of accuracy and reproducibility between magnetic resonance scanners.

Authors:  Fabio S Raman; Nadine Kawel-Boehm; Neville Gai; Melanie Freed; Jing Han; Chia-Ying Liu; Joao A C Lima; David A Bluemke; Songtao Liu
Journal:  J Cardiovasc Magn Reson       Date:  2013-07-26       Impact factor: 5.364

6.  Magnetic resonance imaging phantoms for quality-control of myocardial T1 and ECV mapping: specific formulation, long-term stability and variation with heart rate and temperature.

Authors:  Vassilios S Vassiliou; Ee Ling Heng; Peter D Gatehouse; Jacqueline Donovan; Claire E Raphael; Shivraman Giri; Sonya V Babu-Narayan; Michael A Gatzoulis; Dudley J Pennell; Sanjay K Prasad; David N Firmin
Journal:  J Cardiovasc Magn Reson       Date:  2016-09-22       Impact factor: 5.364

Review 7.  Variability and Standardization of Quantitative Imaging: Monoparametric to Multiparametric Quantification, Radiomics, and Artificial Intelligence.

Authors:  Akifumi Hagiwara; Shohei Fujita; Yoshiharu Ohno; Shigeki Aoki
Journal:  Invest Radiol       Date:  2020-09       Impact factor: 10.065

  7 in total

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