Magnetic Resonance Imaging
Volume 28, Issue 5 , Pages 716-720 , June 2010

Modeling brain tissue volumes over the lifespan: quantitative analysis of postmortem weights and in vivo MR images

  • William R. Riddle

      Affiliations

    • Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
    • Corresponding Author InformationCorresponding author. R-1311, Medical Center North, Vanderbilt University Medical Center, Nashville, TN 37232-2675, USA. Tel.: +1 615 322 2432; fax: +1 615 322 3764.
  • ,
  • Susan C. DonLevy

      Affiliations

    • Pediatric Nurse Practitioner, Nashville, TN, USA
  • ,
  • Haakil Lee

      Affiliations

    • Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
    • Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

Received 10 July 2009 ,Accepted 5 January 2010.

References 

  1. Pfefferbaum A, Mathalon DH, Sullivan EV, Rawles JM, Zipursky RB, Lim KO. A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood. Arch Neurol. 1994;51(9):874–887
  2. Toft PB, Leth H, Ring PB, Peitersen B, Lou HC, Henriksen O. Volumetric analysis of the normal infant brain and in intrauterine growth retardation. Early Hum Dev. 1995;43(1):15–29
  3. Huppi PS, Warfield S, Kikinis R, Barnes PD, Zientara GP, Jolesz FA, et al. Quantitative magnetic resonance imaging of brain development in premature and mature newborns. Ann Neurol. 1998;43(2):224–235
  4. De Bellis MD, Keshavan MS, Clark DB, Casey BJ, Giedd JN, Boring AM, et al. A.E. Bennett Research Award. Developmental traumatology: Part II. Brain development. Biol Psychiatry. 1999;45(10):1271–1284
  5. Courchesne E, Chisum HJ, Townsend J, Cowles A, Covington J, Egaas B, et al. Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers. Radiology. 2000;216(3):672–682
  6. Good CD, Johnsrude IS, Ashburner J, Henson RN, Friston KJ, Frackowiak RS. A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage. 2001;14(1 Pt 1):21–36
  7. Matsuzawa J, Matsui M, Konishi T, Noguchi K, Gur RC, Bilker W, et al. Age-related volumetric changes of brain gray and white matter in healthy infants and children. Cereb Cortex. 2001;11(4):335–342
  8. Ge Y, Grossman RI, Babb JS, Rabin ML, Mannon LJ, Kolson DL. Age-related total gray matter and white matter changes in normal adult brain: Part I. Volumetric MR imaging analysis. AJNR Am J Neuroradiol. 2002;23(8):1327–1333
  9. Aljabar P, Bhatia KK, Murgasova M, Hajnal JV, Boardman JP, Srinivasan L, et al Assessment of brain growth in early childhood using deformation-based morphometry. Neuroimage. 2008;39(1):348–358
  10. Pieperhoff P, Homke L, Schneider F, Habel U, Shah NJ, Zilles K, et al. Deformation field morphometry reveals age-related structural differences between the brains of adults up to 51 years. J Neurosci. 2008;28(4):828–842
  11. Dekaban AS. Changes in brain weights during the span of human life: relation of brain weights to body heights and body weights. Ann Neurol. 1978;4(4):345–356
  12. Larsen PV. Module 9: comparing regression lines. In: ST111: Regression and Analysis of Variance, Department of Statistics, University of Southern Denmark, J. B. Winsøws Vej 9, DK-5000 Odense C, Denmark. Website: http://statmaster.sdu.dk/courses/st111/. Downloaded on February 9, 2009.
  13. Starmer CF, Clark DO. Computer computations of cardiac output using the gamma function. J Appl Physiol. 1970;28(2):219–220
  14. Parks MH, Dawant BM, Riddle WR, Hartmann SL, Dietrich MS, Nickel MK, et al. Longitudinal brain metabolic characterization of chronic alcoholics with proton magnetic resonance spectroscopy. Alcohol Clin Exp Res. 2002;26(9):1368–1380
  15. Riddle WR, DonLevy SC, Wushensky CA, Dawant BM, Fitzpatrick JM, Price RR. Quantifying cerebral changes in adolescence with MRI and deformation based morphometry. J Magn Reson Imaging. 2008;28(2):320–326
  16. MIPAV (Medical Image Processing, Analysis, and Visualization). Center for Information Technology, U.S. National Institutes of Health. Website: http://mipav.cit.nih.gov/. Accessed on 29 August 2007.
  17. ImageJ (Image Processing and Analysis in Java). U.S. National Institutes of Health. Website: http://rsb.info.nih.gov/ij/. Accessed on 29 August 2007.
  18. Harper CG, Kril JJ, Daly JM. The specific gravity of the brains of alcoholic and control patients: a pathological study. Br J Addict. 1987;82(12):1349–1354
  19. Miller I, Freund J. In: Probability and Statistics for Engineers. Englewood Cliffs (NJ): Prentice-Hall, Inc.; 1965;p. 232

PII: S0730-725X(10)00027-5

doi: 10.1016/j.mri.2010.01.003

Magnetic Resonance Imaging
Volume 28, Issue 5 , Pages 716-720 , June 2010