Modeling Brain Deformations in Alzheimer Disease by Fluid Registration of Serial 3D MR Images
- 1 September 1998
- journal article
- research article
- Published by Wolters Kluwer Health in Journal of Computer Assisted Tomography
- Vol. 22 (5) , 838-843
- https://doi.org/10.1097/00004728-199809000-00031
Abstract
Serial 3D MR scan pairs (1 year intervals) from nine control subjects and nine Alzheimer disease (AD) patients were matched using an accurate fast fluid algorithm. Subtraction of matched scans indicated near complete cancellation of brain structure; mean cross-correlation coefficients were 0.946 (controls) and 0.933 (AD). In the AD group, regions of expansion and contraction in the deformation field were consistent with the known patterns of tissue loss and expansion of CSF spaces. Fluid registration may permit better localization of structural change.Keywords
This publication has 11 references indexed in Scilit:
- Interactive algorithms for the segmentation and quantitation of 3-D MRI brain scansComputer Methods and Programs in Biomedicine, 1997
- Presymptomatic hippocampal atrophy in Alzheimer's diseaseBrain, 1996
- Accurate Registration of Serial 3D MR Brain Images and Its Application to Visualizing Change in Neurodegenerative DisordersJournal of Computer Assisted Tomography, 1996
- Visualisation and quantification of rates of atrophy in Alzheimer's diseaseThe Lancet, 1996
- Deformable templates using large deformation kinematicsIEEE Transactions on Image Processing, 1996
- Detection of Subtle Brain Changes Using Subvoxel Registration and Subtraction of Serial MR ImagesJournal of Computer Assisted Tomography, 1995
- Simultaneous usage of homologous points, lines, and planes for optimal, 3-D, linear registration of multimodality imaging dataIEEE Transactions on Medical Imaging, 1995
- Automatic 3‐D model‐based neuroanatomical segmentationHuman Brain Mapping, 1995
- Graphics applied to medical image registrationIEEE Computer Graphics and Applications, 1991
- Multiresolution elastic matchingComputer Vision, Graphics, and Image Processing, 1989