Normalization of cerebral volumes by use of intracranial volume: implications for longitudinal quantitative MR imaging.

BACKGROUND AND PURPOSE MR-based volumetric measures of cerebral structures are increasingly used for diagnostic purposes and to measure progression of atrophy. Variations in individual head size may be corrected by normalization with use of a total intracranial volume (TIV) measurement. The TIV also may be used to correct for voxel size fluctuations in serial studies. The TIV should be measured from the same images used for structural volumetry, usually T1-weighted imaging. The objectives were to show that normalization with TIV reduces interindividual variation, to develop and validate a simple protocol for measuring TIV from T1-weighted MR images, and to apply TIV normalization to serial brain measures in controls and subjects with Alzheimer disease (AD). METHODS We measured TIV with a semiautomated segmentation technique on T1- and T2-weighted MR images in 55 controls, 10 AD patients, and two persons at risk of familial AD. Whole-brain volumes also were measured and normalized with TIVs. RESULTS The TIV normalization of cross-sectional brain volumes significantly reduced interindividual variation; the coefficient of variation (CV) was reduced from 10.0% to 6.0% in controls (P <.001). The TIVs measured on T1-weighted images had low variability (CV, 0.16%) and did not differ significantly from those measured on T2-weighted images (P =.16). The TIV normalization of serial brain-volume measurements reduced interimage differences caused by voxel-scaling variations (CV reduced from 1.3% to 0.5%, P =.002) in 10 controls and five AD patients. CONCLUSION Structural volumes should be normalized with a TIV, measured cross-sectionally, to reduce interindividual variation, and longitudinally with a concurrent measurement, to reduce subtle interimage differences. This may have important implications in progression studies.

[1]  D R Fish,et al.  Methods for normalization of hippocampal volumes measured with MR. , 1995, AJNR. American journal of neuroradiology.

[2]  S Lehéricy,et al.  Amygdalohippocampal MR volume measurements in the early stages of Alzheimer disease. , 1994, AJNR. American journal of neuroradiology.

[3]  Frederick Andermann,et al.  Neuroimaging evidence of progressive neuronal loss and dysfunction in temporal lobe epilepsy , 1999, Annals of neurology.

[4]  A J Thompson,et al.  Progressive cerebral atrophy in multiple sclerosis. A serial MRI study. , 1996, Brain : a journal of neurology.

[5]  C. Jack,et al.  Anterior temporal lobes and hippocampal formations: normative volumetric measurements from MR images in young adults. , 1989, Radiology.

[6]  Arthur W. Toga,et al.  A Probabilistic Atlas of the Human Brain: Theory and Rationale for Its Development The International Consortium for Brain Mapping (ICBM) , 1995, NeuroImage.

[7]  D D Blatter,et al.  Quantitative volumetric analysis of brain MR: normative database spanning 5 decades of life. , 1995, AJNR. American journal of neuroradiology.

[8]  J K Udupa,et al.  Comparison of T2 lesion volume and magnetization transfer ratio histogram analysis and of atrophy and measures of lesion burden in patients with multiple sclerosis. , 1998, AJNR. American journal of neuroradiology.

[9]  Nick C Fox,et al.  Serial magnetic resonance imaging of cerebral atrophy in preclinical Alzheimer's disease , 1999, The Lancet.

[10]  M. Trimble,et al.  Affective aggression in patients with temporal lobe epilepsy: a quantitative MRI study of the amygdala. , 2000, Brain : a journal of neurology.

[11]  M. Folstein,et al.  Clinical diagnosis of Alzheimer's disease , 1984, Neurology.

[12]  Nick C Fox,et al.  Visualisation and quantification of rates of atrophy in Alzheimer's disease , 1996, The Lancet.

[13]  C. Jack,et al.  Rate of medial temporal lobe atrophy in typical aging and Alzheimer's disease , 1998, Neurology.

[14]  Gianpaolo Donzelli,et al.  Catch-Up Growth in Short-at-Birth NICU Graduates , 2000, Hormone Research in Paediatrics.

[15]  P. Maruff,et al.  An optimized method for estimating intracranial volume from magnetic resonance images , 2000, Magnetic resonance in medicine.

[16]  C. Jack,et al.  Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease , 1997, Neurology.

[17]  Martin Styner,et al.  Parametric estimate of intensity inhomogeneities applied to MRI , 2000, IEEE Transactions on Medical Imaging.

[18]  J K Udupa,et al.  Differences between relapsing-remitting and chronic progressive multiple sclerosis as determined with quantitative MR imaging. , 1999, Radiology.

[19]  R. Herndon,et al.  A longitudinal study of brain atrophy in relapsing multiple sclerosis , 1999, Neurology.

[20]  J K Udupa,et al.  Brain atrophy in relapsing-remitting multiple sclerosis and secondary progressive multiple sclerosis: longitudinal quantitative analysis. , 2000, Radiology.

[21]  Alan C. Evans,et al.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data , 1998, IEEE Transactions on Medical Imaging.

[22]  R. Rudick,et al.  Use of the brain parenchymal fraction to measure whole brain atrophy in relapsing-remitting MS , 1999, Neurology.

[23]  M N Rossor,et al.  Correlation between rates of brain atrophy and cognitive decline in AD , 1999, Neurology.

[24]  Minoru Yasuda,et al.  Apolipoprotein E ε4 Allele and Whole Brain Atrophy in Late-Onset Alzheimer's Disease , 1998 .

[25]  Hilkka Soininen,et al.  Hippocampus in Alzheimer’s disease: a 3-year follow-up MRI study , 2000, Biological Psychiatry.

[26]  R. Kikinis,et al.  Age-related changes in intracranial compartment volumes in normal adults assessed by magnetic resonance imaging. , 1996, Journal of neurosurgery.

[27]  M N Rossor,et al.  Intracranial volume and Alzheimer disease: evidence against the cerebral reserve hypothesis. , 2000, Archives of neurology.

[28]  L G Nyúl,et al.  On standardizing the MR image intensity scale , 1999, Magnetic resonance in medicine.

[29]  Nick C Fox,et al.  Interactive algorithms for the segmentation and quantitation of 3-D MRI brain scans. , 1997, Computer methods and programs in biomedicine.

[30]  H. Adams,et al.  Progressive cerebral atrophy in MS: A serial study using registered, volumetric MRI , 2000, Neurology.

[31]  Nick C Fox,et al.  Accurate registration of serial 3D MR brain images and its application to visualizing change in neurodegenerative disorders. , 1996, Journal of computer assisted tomography.

[32]  J Valk,et al.  Comparison of Skull Circumference and Linear Measurements with CSF Volume MR Measurements in Hydrocephalus , 1992, Journal of computer assisted tomography.

[33]  R. Killiany,et al.  Use of structural magnetic resonance imaging to predict who will get Alzheimer's disease , 2000, Annals of neurology.