The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Longitudinal stability of MRI for mapping brain change using tensor-based morphometry
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668698 · Cited by 4,731
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431
Hill, D. L. G., Batchelor, P. G., Holden, M., & Hawkes, D. J. (2001) · Physics in Medicine and Biology · doi:10.1088/0031-9155/46/3/201 · Cited by 2,093 · cited 1×
“A solution to this problem, known as Gradwarp (GW) correction (Hajnal et al., 2001), is described and evaluated by Jovicich et al.”
MethodGrowth patterns in the developing brain detected by using continuum mechanical tensor maps
Thompson, P. M., Giedd, J. N., Woods, R. P., MacDonald, D., Evans, A. C., & Toga, A. W. (2000) · Nature · doi:10.1038/35004593 · Cited by 850
Self-citationFox, N. C., Crum, W. R., Scahill, R. I., Stevens, J. M., Janssen, J. C., & Rossor, M. N. (2001) · The Lancet · doi:10.1016/s0140-6736(01)05408-3 · Cited by 455
Self-citationProgressive brain atrophy on serial MRI in dementia with Lewy bodies, AD, and vascular dementia
O’Brien, J. T., Paling, S., Barber, R., Williams, E. D., Ballard, C., McKeith, I. G., Gholkar, A., Crum, W. R., Rossor, M. N., & Fox, N. C. (2001) · Neurology · doi:10.1212/wnl.56.10.1386 · Cited by 215
Self-citation
Cited by
The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347
Schuff, N., Woerner, N., Boreta, L., Kornfield, T., Shaw, L. M., Trojanowski, J. Q., Thompson, P. M., Jack, C. R., Weiner, M. W., & Initiative, T. A. D. N. (2008) · Brain · doi:10.1093/brain/awp007 · Cited by 679
Self-citationYue, J. K., Vassar, M. J., Lingsma, H. F., Cooper, S. R., Okonkwo, D. O., Valadka, A. B., Gordon, W. A., Maas, A. I. R., Mukherjee, P., Yuh, E. L., et al. (2013) · Journal of Neurotrauma · doi:10.1089/neu.2013.2970 · Cited by 377
Weiner, M. W., Veitch, D. P., Aisen, P. S., Beckett, L. A., Cairns, N. J., Cedarbaum, J., Green, R. C., Harvey, D., Jack, C. R., Jagust, W., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.11.001 · Cited by 348
Self-citationSex and age differences in atrophic rates: an ADNI study with n=1368 MRI scans
Hua, X., Hibar, D. P., Lee, S., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.033 · Cited by 234
Self-citation
Metadata
- Authors
- Leow, A. D., Klunder, A. D., Jack, C. R., Toga, A. W., Dale, A. M., Bernstein, M. A., Britson, P. J., Gunter, J. L., Ward, C. P., Whitwell, J. L., Borowski, B. J., Fleisher, A. S., Fox, N. C., Harvey, D., Kornak, J., Schuff, N., Studholme, C., Alexander, G. E., Weiner, M. W., & Thompson, P. M.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2006-06
- Volume
- 31
- Issue
- 2
- Pages
- 627-640
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2169212716
- Cited by
- 214
- References
- 8
- FWCI
- 17.13
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Longitudinal stability of MRI for mapping brain change using tensor-based morphometry. https://app.cochat.ai/papers/10.1016/j.neuroimage.2005.12.013
- The paper
- Leow, A. D., Klunder, A. D., Jack, C. R., Toga, A. W., Dale, A. M., Bernstein, M. A., Britson, P. J., Gunter, J. L., Ward, C. P., Whitwell, J. L., Borowski, B. J., Fleisher, A. S., Fox, N. C., Harvey, D., Kornak, J., Schuff, N., Studholme, C., Alexander, G. E., Weiner, M. W., & Thompson, P. M. (2006). Longitudinal stability of MRI for mapping brain change using tensor-based morphometry. NeuroImage. https://doi.org/10.1016/j.neuroimage.2005.12.013
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
