Literature DB >> 8738096

Infratentorial brain maturation: a comparison of MRI at 0.5 and 1.5T.

K Hittmair1, J Kramer, T Rand, G Bernert, D Wimberger.   

Abstract

Our purpose was to establish parameters for normal infratentorial brain maturation at 0.5 and 1.5 T and to evaluate the field strength criteria for the assessment of infratentorial brain maturation with MRI. We examined 27 children with normal psychomotor development (3 days to 24 months) with a 1.5 T system and 22 (4 days to 29 months) with a 0.5 T system; standard T2-weighted spin-echo sequences (TR/TE 2500/90 ms at 1.5 T and TR/TE 2200/90 ms at 0.5 T) were obtained. The signal intensity of infratentorial anatomical structures compared to their surroundings was classified as high, isointense or low by three neuroradiologists. For anatomical structures with age-related contrast changes, the time of these changes was determined statistically for the 0.5 T and 1.5 T system independently. The delineation of the structures without age-related contrast changes at the two field strengths was compared using a chi 2 test. Age-related contrast changed were found in the same anatomical structures ("marker sites") at 0.5 and 1.5 T. Generally, these changes were apparent in larger structures (pons, middle cerebellar peduncles, medulla, cerebellar folia, red nuclei, cerebral peduncles), with only slight field-strength-dependent differences in the time of the contrast changes. Contrast changes from high to isointense signal were observed slightly earlier at 0.5 T and changes from isointense to low signal slightly later at 0.5 T. The delineation of the smaller anatomical structures was significantly better at 1.5 T but these structures did not show age-related contrast changes. The differences in the assessment of infratentorial brain maturation between 0.5 and 1.5 T can be attributed to a lower signal-to-noise ratio at lower magnetic field strengths. These differences do not complicate temporal classification of the stage of infratentorial brain maturation using the same "marker sites" and the same temporal criteria at 0.5 or 1.5 T. However, higher field strengths are preferable for the assessment of smaller structures with physiological signal differences; this may imply better detection of small lesions at higher field strengths.

Entities:  

Mesh:

Year:  1996        PMID: 8738096     DOI: 10.1007/bf00596589

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  18 in total

1.  Normal deposition of brain iron in childhood and adolescence: MR imaging at 1.5 T.

Authors:  S Aoki; Y Okada; K Nishimura; A J Barkovich; B O Kjos; R C Brasch; D Norman
Journal:  Radiology       Date:  1989-08       Impact factor: 11.105

2.  The field dependence of NMR imaging. II. Arguments concerning an optimal field strength.

Authors:  D I Hoult; C N Chen; V J Sank
Journal:  Magn Reson Med       Date:  1986-10       Impact factor: 4.668

3.  The field dependence of NMR imaging. I. Laboratory assessment of signal-to-noise ratio and power deposition.

Authors:  C N Chen; V J Sank; S M Cohen; D I Hoult
Journal:  Magn Reson Med       Date:  1986-10       Impact factor: 4.668

4.  A review of normal tissue hydrogen NMR relaxation times and relaxation mechanisms from 1-100 MHz: dependence on tissue type, NMR frequency, temperature, species, excision, and age.

Authors:  P A Bottomley; T H Foster; R E Argersinger; L M Pfeifer
Journal:  Med Phys       Date:  1984 Jul-Aug       Impact factor: 4.071

5.  MR imaging of brain maturation in normal and developmentally handicapped children.

Authors:  E Martin; C Boesch; M Zuerrer; R Kikinis; L Molinari; P Kaelin; E Boltshauser; G Duc
Journal:  J Comput Assist Tomogr       Date:  1990 Sep-Oct       Impact factor: 1.826

6.  MR assessment of brain maturation: comparison of sequences.

Authors:  K Hittmair; D Wimberger; T Rand; L Prayer; G Bernert; J Kramer; H Imhof
Journal:  AJNR Am J Neuroradiol       Date:  1994-03       Impact factor: 3.825

7.  Magnetic resonance signal intensity ratio of gray/white matter in children. Quantitative assessment in developing brain.

Authors:  M Maezawa; T Seki; S Imura; K Akiyama; I Takikawa; Y Yuasa
Journal:  Brain Dev       Date:  1993 May-Jun       Impact factor: 1.961

Review 8.  The neurobiology and genetics of infantile autism.

Authors:  L J Lotspeich; R D Ciaranello
Journal:  Int Rev Neurobiol       Date:  1993       Impact factor: 3.230

Review 9.  Thyroid hormone effects on neuronal differentiation during brain development.

Authors:  J Nunez; D Couchie; F Aniello; A M Bridoux
Journal:  Acta Med Austriaca       Date:  1992

10.  Field strength in neuro-MR imaging: a comparison of 0.5 T and 1.5 T.

Authors:  C R Jack; T H Berquist; G M Miller; G S Forbes; J E Gray; R L Morin; D M Ilstrup
Journal:  J Comput Assist Tomogr       Date:  1990 Jul-Aug       Impact factor: 1.826

View more
  2 in total

1.  T2 hyperintense signal of the central tegmental tracts in children: disease or normal maturational process?

Authors:  Sergio Aguilera-Albesa; Andrea Poretti; Dagmar Honnef; Meral Aktas; Maria Eugenia Yoldi-Petri; Thierry A G M Huisman; Martin Häusler
Journal:  Neuroradiology       Date:  2012-01-21       Impact factor: 2.804

Review 2.  Magnetic resonance imaging of the brainstem in children, part 1: imaging techniques, embryology, anatomy and review of congenital conditions.

Authors:  Asha Sarma; Josh M Heck; Josephine Ndolo; Allen Newton; Sumit Pruthi
Journal:  Pediatr Radiol       Date:  2021-01-26
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.