Literature DB >> 1984289

Analysis of brain and cerebrospinal fluid volumes with MR imaging. Part I. Methods, reliability, and validation.

M I Kohn1, N K Tanna, G T Herman, S M Resnick, P D Mozley, R E Gur, A Alavi, R A Zimmerman, R C Gur.   

Abstract

A computerized system was developed to process standard spin-echo magnetic resonance (MR) imaging data for estimation of brain parenchyma and cerebrospinal fluid (CSF) volumes. In phantom experiments, the estimated volumes corresponded closely to the true volumes (r = .998), with a mean error less than 1.0 cm3 (for phantom volumes ranging from 5 to 35 cm3), with excellent intra- and interobserver reliability. In a clinical validation study with actual brain images of 10 human subjects, the average coefficient of variation between observers for the measurement of absolute brain and CSF volumes was 1.2% and 6.4%, respectively. The intraclass correlations for three expert operators is greater than .99 in the measurement of brain and ventricular volumes and greater than .94 for total CSF volume. Therefore, the authors believe that their technique to analyze MR images of the brain performed with acceptable levels of accuracy and reliability and that it can be used to measure brain and CSF volumes for clinical research. This technique could be helpful in the correlation of neuroanatomic measurements to behavioral and physiologic parameters in neuropsychiatric disorders.

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Year:  1991        PMID: 1984289     DOI: 10.1148/radiology.178.1.1984289

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  22 in total

1.  MR imaging of brain volumes: evaluation of a fully automatic software.

Authors:  K Ambarki; A Wåhlin; R Birgander; A Eklund; J Malm
Journal:  AJNR Am J Neuroradiol       Date:  2010-11-04       Impact factor: 3.825

2.  Partial volume correction of standardized uptake values and the dual time point in FDG-PET imaging: should these be routinely employed in assessing patients with cancer?

Authors:  Sandip Basu; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-10       Impact factor: 9.236

Review 3.  Magnetic resonance in monitoring the natural history of multiple sclerosis and the effects of treatment.

Authors:  M Filippi; M Rovaris; G Comi
Journal:  Ital J Neurol Sci       Date:  1996-12

4.  Spinal cord diameters in cadaveric specimens and magnetic resonance scans, to assess embalming artefacts.

Authors:  D Choi; N Carroll; P Abrahams
Journal:  Surg Radiol Anat       Date:  1996       Impact factor: 1.246

Review 5.  Brain maturation and its relevance to understanding criminal culpability of juveniles.

Authors:  Ruben C Gur
Journal:  Curr Psychiatry Rep       Date:  2005-08       Impact factor: 5.285

Review 6.  Microdialysis: the Key to Physiologically Based Model Prediction of Human CNS Target Site Concentrations.

Authors:  Yumi Yamamoto; Meindert Danhof; Elizabeth C M de Lange
Journal:  AAPS J       Date:  2017-03-09       Impact factor: 4.009

7.  Imaging transforms for visualizing surfaces and volumes.

Authors:  J K Udupa; R J Gonçalves
Journal:  J Digit Imaging       Date:  1993-11       Impact factor: 4.056

8.  Gender differences in age effect on brain atrophy measured by magnetic resonance imaging.

Authors:  R C Gur; P D Mozley; S M Resnick; G L Gottlieb; M Kohn; R Zimmerman; G Herman; S Atlas; R Grossman; D Berretta
Journal:  Proc Natl Acad Sci U S A       Date:  1991-04-01       Impact factor: 11.205

9.  Separating function from structure in perfusion imaging of the aging brain.

Authors:  Iris Asllani; Christian Habeck; Ajna Borogovac; Truman R Brown; Adam M Brickman; Yaakov Stern
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

10.  An MRI study of age-related white and gray matter volume changes in the rhesus monkey.

Authors:  Jonathan J Wisco; Ronald J Killiany; Charles R G Guttmann; Simon K Warfield; Mark B Moss; Douglas L Rosene
Journal:  Neurobiol Aging       Date:  2007-04-24       Impact factor: 4.673

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