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Longitudinal stability of MRI for mapping brain change using tensor-based morphometry.

Measures of brain change can be computed from sequential MRI scans, providing valuable information on disease progression, e.g., for patient monitoring and drug trials. Tensor-based morphometry (TBM) creates maps of these brain changes, visualizing the 3D profile and rates of tissue growth or atrophy, but its sensitivity depends on the contrast and geometric stability of the images. As part of the Alzheimer's Disease Neuroimaging Initiative (ADNI), 17 normal elderly subjects were scanned twice (at a 2-week interval) with several 3D 1.5 T MRI pulse sequences: high and low flip angle SPGR/FLASH (from which Synthetic T1 images were generated), MP-RAGE, IR-SPGR (N = 10) and MEDIC (N = 7) scans. For each subject and scan type, a 3D deformation map aligned baseline and follow-up scans, computed with a nonlinear, inverse-consistent elastic registration algorithm. Voxelwise statistics, in ICBM stereotaxic space, visualized the profile of mean absolute change and its cross-subject variance; these maps were then compared using permutation testing. Image stability depended on: (1) the pulse sequence; (2) the transmit/receive coil type (birdcage versus phased array); (3) spatial distortion corrections (using MEDIC sequence information); (4) B1-field intensity inhomogeneity correction (using N3). SPGR/FLASH images acquired using a birdcage coil had least overall deviation. N3 correction reduced coil type and pulse sequence differences and improved scan reproducibility, except for Synthetic T1 images (which were intrinsically corrected for B1-inhomogeneity). No strong evidence favored B0 correction. Although SPGR/FLASH images showed least deviation here, pulse sequence selection for the ADNI project was based on multiple additional image analyses, to be reported elsewhere.

Pubmed ID: 16480900

Authors

  • Leow AD
  • Klunder AD
  • Jack CR
  • Toga AW
  • Dale AM
  • Bernstein MA
  • Britson PJ
  • Gunter JL
  • Ward CP
  • Whitwell JL
  • Borowski BJ
  • Fleisher AS
  • Fox NC
  • Harvey D
  • Kornak J
  • Schuff N
  • Studholme C
  • Alexander GE
  • Weiner MW
  • Thompson PM
  • ADNI Preparatory Phase Study

Journal

NeuroImage

Publication Data

June 1, 2006

Associated Grants

  • Agency: NIA NIH HHS, Id: AG016570
  • Agency: NIBIB NIH HHS, Id: EB01651
  • Agency: Medical Research Council, Id: G116/143
  • Agency: NLM NIH HHS, Id: LM05639
  • Agency: NIA NIH HHS, Id: R01 AG010897
  • Agency: NCRR NIH HHS, Id: RR019771
  • Agency: NIA NIH HHS, Id: U01 AG024904
  • Agency: NIA NIH HHS, Id: U01 AG024904

Mesh Terms

  • Aged
  • Analysis of Variance
  • Brain
  • Brain Mapping
  • Female
  • Humans
  • Image Processing, Computer-Assisted
  • Magnetic Resonance Imaging
  • Male
  • Middle Aged
  • Reference Values
  • Reproducibility of Results