Detecting Spatially Consistent Structural Differences in Alzheimer’s and Fronto Temporal Dementia Using Deformation Morphometry (original) (raw)
References
J. Ashburner and K.J. Friston. Nonlinear spatial normalization using basis functions. Neuroimage, 7(4):254–266, 1997. Google Scholar
J. Ashburner and K.J. Friston. Voxel-based morphometry-The methods. Neuroimage, 11:805–821, 2000. Article Google Scholar
A.J. Bartley, D.W. Jones, and D.R. Weinberge. Genetic variability of human brain size and cortical gyral patterns. Brain, pages 257–269, 1997. Google Scholar
F.L. Bookstein. Landmark methods for forms without landmarks: Morphometrics of group differences in outline shape. Medical Image Analysis, 1(3):225–243, 1997. Article Google Scholar
C. De Carli, J.V. Haby, J.A. Gilette D. Teichberg, S. Rapoport, and M.B. Schapiro. Longitudinal changes in lateral ventricular volume in patients with dementia of the alzheimer type. Neurology, 42:2029–2036, 1992. Google Scholar
J.G. Csernansky, L. Wang, S. Joshi J.P. Miller M. Gado D. Kido D. McKeel, J.C. Morris, and MI. Miller. Early DAT is distinguished from aging by high-dimensional mapping of the hippocampus. Neurology, 55(11):1636–1643, 2000. Google Scholar
C. Davatzikos, M. Vaillant, S.M. Resnick, J.L. Prince, S. Letovsky, and R.N. Bryan. A computerised approach for morphological analysis of the corpus callosum. Journal of Computer Assisted Tomography, 20(1):88–97, 1996. Article Google Scholar
R. Duara, W. Barker, and C.A. Luis. Frontotemporal dementia and alzheimer’s disease: differential diagnosis. Dement Geriatr Cogn Disord, 10(1):37–42, 1999. Article Google Scholar
G.B. Frisoni, A. Beltramello, C. Geroldi, C. Weiss, A. Bianchetti, and M. Trabucchi. Brain atrophy in frontotemporal dementia. J Neurol Neurosurg Psychiatry, 61:157–165, 1996. Article Google Scholar
C. Gaser, H.P. Voltz, S. Kiebel, S. Riehemann, and H. Sauer. Detecting structural changes in whole brain based on nonlinear deformations-application to schizophrenia research. Neuroimage, 10:107–113, 1999. Article Google Scholar
J. Golomb, A. Kluger, and M.J. de Leon. Hippocampal formation size in normal human aging: a correlate of delayed secondary memory performance. Learning and Memory, 1:45–54, 1994. Google Scholar
C.R. Jack, C.R. Petersen, P.C. O’Brien, and E.G. Tangalos. MR-based hippocampal volumetry in the diagnosis of alzheimer’s disease. Neurology, 42:183–188, 1992. Google Scholar
T.L. Jernigan, D.P. Salmonand N. Butters, and J. Hesselink. Cerebral structure on MRI, part II: specific changes in Alzheimer’s and Huntington’s diseases. Biol Psychaitry, 29:68–81, 1991. Article Google Scholar
S. Joshi. Large Deformation Diffeomorphisms and Gaussian Random Fields for Statistical Characterization of Brain Sub-Manifolds. PhD thesis, Washington Univ., 1997. Google Scholar
D.I. Kaufer, B.L. Miller, L. Itti, L.A. Fairbanks, J. Li, J. Fishman, J. Kushi, and J.L. Cummings. Midline cerebral morphometry distinguishes frontotemporal dementia and alzheimer’s disease. Neurology, 48:978–985, 1997. Google Scholar
J.S. Luxenberg, J.V. Haxby, H. Creasey, M. Sundaram, and S.I. Rapoport. Rate of ventricular enlargement in dementia of the alzheimer type correlates with rate of neuropsychological deterioration. Neurology, 37:1135–1140, 1987. Google Scholar
A.M.C. Machado, J.C. Gee, and M.F.M. Campos. Atlas warping for brain morphometry. In Proceedings of Medical Imaging 1998, pages 642–651. SPIE Press, 1998. San Diego, California. Google Scholar
F. Maes, A. Collignon, D. Vandermeulen, G. Marchal, and P. Suetens. Multimodality image registration by maximisation of mutual information. IEEE Transactions on Medical Images, 16(2):187–198, 1997. Article Google Scholar
R.J. Perry and J.R. Hodges. Differentiating frontal and temporal variant frontotemporal dementia from alzheimer’s disease. Neurology, 54:2277–2284, 2000. Google Scholar
D.J. Pettey and J.C. Gee. Using a linear diagnosticfu nction and non-rigid registration to search for morphological differences between poluations: An example involving the male and female corpus callosum. In Proceedings SPIE Medical Imaging, volume 4322, page In Press, 2001. Google Scholar
D. Ruckert, C. Hayes, C. Studholme, M. Leach, and D.J. Hawkes. Non-rigid registration of breast MR images using mutual information. In W. M. Wells, A. Colchester, and S. Delp, editors, Proceedings of MICCAI, pages 1144–1152, 1998. Cambridge, MA, USA. Google Scholar
A.R.B. Serge, B Rombouts, F. Barkhof, M.P. Witter, and P. Scheltens. Unbiased whole-brain analysis of gray matter loss in alzheimer’s disease. Neuroscience Letters, 285:231–233, 2000. Article Google Scholar
C. Studholme, V. Cardenas, and M. Weiner. Multi scale image and multi scale deformation of brain anatomy for building average brain atlases. In Proceedings SPIE Medical Imaging, volume 4322, page In Press, 2001. Google Scholar
C. Studholme, D.L.G. Hill, and D.J. Hawkes. An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition, 32(1):71–86, 1999. Article Google Scholar
C. Studholme, E. Novotny, R. Stokking, J.S. Duncan, I.G. Zubal, and D. Spencer. Alignment of functional data acquired before and after intra-cranial electrode implantation using non-rigid MRI registration. In Proceedings of ISMRM 2000, Denver, Col., USA., page 585, 2000. Google Scholar
R.D. Terry, A. Peck, R. DeTeresa, R. Schechter, and D. Horoupian. Some morphometric aspects of the brain in senile dementia of the alzheimer type. Annals of Neurology, 10:184–192, 1981. Article Google Scholar
P. Thompson, R. Woods, M. Mega, and A. Toga. Mathematical/Computational challenges in creating deformable and probabilistic atlases of the human brain. Human Brain Mapping, 9:81–92, 2000. Article Google Scholar
W.M. Wells, P. Viola, H. Atsumi, S. Nakajima, and R. Kikinis. Multi-modal volume registration by maximisation of mutual information. Medical Image Analysis, 1(1):35–51, 1996. Article Google Scholar