Comparison of MR imaging against physical sectioning to estimate the volume of human cerebral compartments

The purpose of this study was to compare magnetic resonance imaging (MRI) against physical sectioning techniques to estimate the volume of human cerebral hemisphere compartments (cortex, subcortex, and their union, called "total"). The volume of these compartments was estimated postmortem for six human subjects from MRI virtual sections and from physical sections using the Cavalieri design with point counting. Cursory paired t tests revealed no significant differences between the two methods for any of the three compartments considered, although P = 0.06 for the subcortex. A sharper analysis incorporating recent error prediction formulae revealed a significant discrepancy between the two methods in the estimation of subcortex and total volume for three of the specimens. Yet, none of these analyses is adequate to detect possible biases. The incorporation of an explanatory variable, namely hemisphere weight, and the adoption of a specific gravity rho = 1.04 g/cm(3) for the material, enabled us to carry out an allometric analysis for the total compartment which revealed a significant bias of the MRI data. The new error prediction formulae are illustrated by way of example, and their accuracy is checked by a resampling experiment on a data set of 274 MRI sections.

[1]  C P Doherty,et al.  Accuracy and validity of stereology as a quantitative method for assessment of human temporal lobe volumes acquired by magnetic resonance imaging. , 2000, Magnetic resonance imaging.

[2]  Konrad Sandau,et al.  Unbiased Stereology. Three‐Dimensional Measurement in Microscopy. , 1999 .

[3]  Koenraad Van Leemput,et al.  Automated segmentation of multiple sclerosis lesions by model outlier detection , 2001, IEEE Transactions on Medical Imaging.

[4]  H J Gundersen,et al.  The efficiency of systematic sampling in stereology and its prediction * , 1987, Journal of microscopy.

[5]  L M Cruz-Orive,et al.  Measuring error and sampling variation in stereology: comparison of the efficiency of various methods for planar image analysis , 1981, Journal of microscopy.

[6]  M. García-Fiñana,et al.  New approximations for the variance in Cavalieri sampling , 2000, Journal of microscopy.

[7]  H J Gundersen,et al.  Sampling problems in an heterogeneous organ: Quantitation of relative and total volume of pancreatic islets by light microscopy , 1983, Journal of microscopy.

[8]  M J Puddephat,et al.  The benefit of stereology for quantitative radiology. , 2000, The British journal of radiology.

[9]  V. Howard,et al.  Unbiased Stereology: Three-Dimensional Measurement in Microscopy , 1998 .

[10]  Raymond Pearl,et al.  BIOMETRICAL STUDIES ON MAN: L VARIATION AND CORRELATION IN BRAIN-WEIGHT , 1905 .

[11]  N Roberts,et al.  Unbiased and efficient estimation of bladder volume with MR imaging , 1995, Journal of magnetic resonance imaging : JMRI.

[12]  G. Matheron Les variables régionalisées et leur estimation : une application de la théorie de fonctions aléatoires aux sciences de la nature , 1965 .

[13]  G H Whitehouse,et al.  Quantitative magnetic resonance imaging in consecutive patients evaluated for surgical treatment of temporal lobe epilepsy. , 2000, Magnetic resonance imaging.

[14]  Neil Roberts,et al.  Voxel-Based Morphometric Comparison of Hippocampal and Extrahippocampal Abnormalities in Patients with Left and Right Hippocampal Atrophy , 2002, NeuroImage.

[15]  L M Cruz-Orive,et al.  Precision of Cavalieri sections and slices with local errors , 1999, Journal of microscopy.

[16]  Irene A. Stegun,et al.  Handbook of Mathematical Functions. , 1966 .

[17]  Luis M. Cruz-Orive,et al.  On the precision of systematic sampling: a review of Matheron's transitive methods , 1989 .

[18]  J A Corsellis,et al.  VARIATION WITH AGE IN THE VOLUMES OF GREY AND WHITE MATTER IN THE CEREBRAL HEMISPHERES OF MAN: MEASUREMENTS WITH AN IMAGE ANALYSER , 1980, Neuropathology and applied neurobiology.

[19]  H. Gundersen,et al.  The efficiency of systematic sampling in stereology — reconsidered , 1999, Journal of microscopy.

[20]  Kien Kleu,et al.  Precision of systematic sampling of spatial structures , 1998, Advances in Applied Probability.

[21]  Koenraad Van Leemput,et al.  Quantification of Cerebral Grey and White Matter Asymmetry from MRI , 1999, MICCAI.

[22]  G. Pike,et al.  Quantitative interpretation of magnetization transfer in spoiled gradient echo MRI sequences. , 2000, Journal of magnetic resonance.

[23]  J Marshall,et al.  Relations between the Weight of the Brain and its Parts, and the Stature and Mass of the Body, in Man. , 1892, Journal of anatomy and physiology.

[24]  Jacques Istas,et al.  Precision of systematic sampling and transitive methods , 1999 .

[25]  N. Draper,et al.  Applied Regression Analysis , 1966 .

[26]  H. Pakkenberg,et al.  BRAIN WEIGHT OF THE DANES , 1964 .

[27]  T M Mayhew,et al.  Magnetic resonance imaging (MRI) and model-free estimates of brain volume determined using the Cavalieri principle. , 1991, Journal of anatomy.