Literature DB >> 16532356

Quantitative diffusion tensor MR imaging of the brain: field strength related variance of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) scalars.

Thierry A G M Huisman1, Thomas Loenneker, Gerd Barta, Matthias E Bellemann, Juergen Hennig, Joachim E Fischer, Kamil A Il'yasov.   

Abstract

The objectives were to study the "impact" of the magnetic field strength on diffusion tensor imaging (DTI) metrics and also to determine whether magnetic-field-related differences in T2-relaxation times of brain tissue influence DTI measurements. DTI was performed on 12 healthy volunteers at 1.5 and 3.0 Tesla (within 2 h) using identical DTI scan parameters. Apparent diffusion coefficient (ADC) and fractional anisotropy (FA) values were measured at multiple gray and white matter locations. ADC and FA values were compared and analyzed for statistically significant differences. In addition, DTI measurements were performed at different echo times (TE) for both field strengths. ADC values for gray and white matter were statistically significantly lower at 3.0 Tesla compared with 1.5 Tesla (% change between -1.94% and -9.79%). FA values were statistically significantly higher at 3.0 Tesla compared with 1.5 Tesla (% change between +4.04 and 11.15%). ADC and FA values are not significantly different for TE=91 ms and TE=125 ms. Thus, ADC and FA values vary with the used field strength. Comparative clinical studies using ADC or FA values should consequently compare ADC or FA results with normative ADC or FA values that have been determined for the field strength used.

Mesh:

Year:  2006        PMID: 16532356     DOI: 10.1007/s00330-006-0175-8

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  43 in total

1.  Diffusion tensor MRI assesses corticospinal tract damage in ALS.

Authors:  C M Ellis; A Simmons; D K Jones; J Bland; J M Dawson; M A Horsfield; S C Williams; P N Leigh
Journal:  Neurology       Date:  1999-09-22       Impact factor: 9.910

2.  High-b-value diffusion-weighted MR imaging of adult brain: image contrast and apparent diffusion coefficient map features.

Authors:  M C DeLano; T G Cooper; J E Siebert; M J Potchen; K Kuppusamy
Journal:  AJNR Am J Neuroradiol       Date:  2000 Nov-Dec       Impact factor: 3.825

3.  Diffusion tensor MR imaging of the brain: effect of diffusion weighting on trace and anisotropy measurements.

Authors:  E R Melhem; R Itoh; L Jones; P B Barker
Journal:  AJNR Am J Neuroradiol       Date:  2000 Nov-Dec       Impact factor: 3.825

4.  Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI.

Authors:  S Skare; M Hedehus; M E Moseley; T Q Li
Journal:  J Magn Reson       Date:  2000-12       Impact factor: 2.229

5.  Anisotropic noise propagation in diffusion tensor MRI sampling schemes.

Authors:  P G Batchelor; D Atkinson; D L G Hill; F Calamante; A Connelly
Journal:  Magn Reson Med       Date:  2003-06       Impact factor: 4.668

6.  Diffusion tensor MR imaging of the human brain.

Authors:  C Pierpaoli; P Jezzard; P J Basser; A Barnett; G Di Chiro
Journal:  Radiology       Date:  1996-12       Impact factor: 11.105

7.  Diffusion-weighted MR imaging of the hippocampus and temporal white matter in Alzheimer's disease.

Authors:  H Hanyu; H Sakurai; T Iwamoto; M Takasaki; H Shindo; K Abe
Journal:  J Neurol Sci       Date:  1998-04-01       Impact factor: 3.181

8.  Magnetic resonance imaging: effects of magnetic field strength.

Authors:  L E Crooks; M Arakawa; J Hoenninger; B McCarten; J Watts; L Kaufman
Journal:  Radiology       Date:  1984-04       Impact factor: 11.105

9.  Diffusion tensor imaging of lesions and normal-appearing white matter in multiple sclerosis.

Authors:  D J Werring; C A Clark; G J Barker; A J Thompson; D H Miller
Journal:  Neurology       Date:  1999-05-12       Impact factor: 9.910

10.  Tissue signature characterisation of diffusion tensor abnormalities in cerebral gliomas.

Authors:  Stephen J Price; Alonso Peña; Neil G Burnet; Raj Jena; Hadrian A L Green; T Adrian Carpenter; John D Pickard; Jonathan H Gillard
Journal:  Eur Radiol       Date:  2004-06-25       Impact factor: 5.315

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  48 in total

1.  Diffusion-weighted imaging of breast tumours at 3 Tesla and 7 Tesla: a comparison.

Authors:  S Gruber; L Minarikova; K Pinker; O Zaric; M Chmelik; B Strasser; P Baltzer; T Helbich; S Trattnig; W Bogner
Journal:  Eur Radiol       Date:  2015-08-27       Impact factor: 5.315

Review 2.  Treatment induced necrosis versus recurrent/progressing brain tumor: going beyond the boundaries of conventional morphologic imaging.

Authors:  Rajan Jain; Jayant Narang; Pia M Sundgren; David Hearshen; Sona Saksena; Jack P Rock; Jorge Gutierrez; Tom Mikkelsen
Journal:  J Neurooncol       Date:  2010-02-24       Impact factor: 4.130

3.  Quantitative diffusion tensor fiber tracking of age-related changes in the limbic system.

Authors:  Andreas Stadlbauer; Erich Salomonowitz; Guido Strunk; Thilo Hammen; Oliver Ganslandt
Journal:  Eur Radiol       Date:  2007-08-15       Impact factor: 5.315

4.  Normal regional fractional anisotropy and apparent diffusion coefficient of the brain measured on a 3 T MR scanner.

Authors:  Christabel E C Lee; Laura E Danielian; David Thomasson; Eva H Baker
Journal:  Neuroradiology       Date:  2008-08-13       Impact factor: 2.804

5.  Construction of a stereotaxic DTI atlas with full diffusion tensor information for studying white matter maturation from childhood to adolescence using tractography-based segmentations.

Authors:  Judith S Verhoeven; Caroline A Sage; Alexander Leemans; Wim Van Hecke; Dorothée Callaert; Ronald Peeters; Paul De Cock; Lieven Lagae; Stefan Sunaert
Journal:  Hum Brain Mapp       Date:  2010-03       Impact factor: 5.038

Review 6.  Neuroimaging after coma.

Authors:  Luaba Tshibanda; Audrey Vanhaudenhuyse; Mélanie Boly; Andrea Soddu; Marie-Aurelie Bruno; Gustave Moonen; Steven Laureys; Quentin Noirhomme
Journal:  Neuroradiology       Date:  2010-01       Impact factor: 2.804

7.  High-resolution diffusion-weighted imaging of neck lymph nodes using 2D-single-shot interleaved multiple inner volume imaging diffusion-weighted echo-planar imaging at 3T.

Authors:  J K Park; S-E Kim; G S Trieman; D Parker; E-K Jeong
Journal:  AJNR Am J Neuroradiol       Date:  2011-06-09       Impact factor: 3.825

8.  Effect of scanner in longitudinal diffusion tensor imaging studies.

Authors:  Hidemasa Takao; Naoto Hayashi; Hiroyuki Kabasawa; Kuni Ohtomo
Journal:  Hum Brain Mapp       Date:  2011-03-09       Impact factor: 5.038

9.  Microstructural effects of Ramadan fasting on the brain: a diffusion tensor imaging study.

Authors:  Ayse Ahsen Bakan; Seyma Yıldız; Alpay Alkan; Huseyin Yetis; Serpil Kurtcan; Mahmut Muzaffer Ilhan
Journal:  Diagn Interv Radiol       Date:  2015 May-Jun       Impact factor: 2.630

10.  Diffusion-weighted magnetic resonance imaging for predicting and detecting early response to chemoradiation therapy of squamous cell carcinomas of the head and neck.

Authors:  Sungheon Kim; Laurie Loevner; Harry Quon; Eric Sherman; Gregory Weinstein; Alex Kilger; Harish Poptani
Journal:  Clin Cancer Res       Date:  2009-02-01       Impact factor: 12.531

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