Abstract
The existing literature on the magnetic resonance imaging of murine models of Alzheimers disease is reviewed. Particular attention is paid to the possibilities for the early detection of the disease. To this effect, not only are relaxometric and volumetric approaches discussed, but also mathematical models for plaque distribution and aggregation. Image analysis plays a prominent role in this line of research, as stochastic image models and texture analysis have shown some success in the classification of subjects affected by Alzheimers disease. It is concluded that relaxometric approaches seem to be a promising candidate for the task at hand, especially when combined with sophisticated image analysis, and when data from more than one time-point is available. There have been few longitudinal studies of mice models so far, so this direction of research warrants future efforts.
Keywords: Alzheimer's disease, magnetic resonance imaging, early detection, relaxometry, mouse models, texture analysis, amyloid plagues, dementia
Current Alzheimer Research
Title: Prospects for Early Detection of Alzheimers Disease from Serial MR Images in Transgenic Mouse Models
Volume: 6 Issue: 6
Author(s): M. Muskulus, A. E.H. Scheenstra, N. Braakman, J. Dijkstra, S. Verduyn-Lunel, A. Alia, H. J.M. de Groot and J. H.C. Reiber
Affiliation:
Keywords: Alzheimer's disease, magnetic resonance imaging, early detection, relaxometry, mouse models, texture analysis, amyloid plagues, dementia
Abstract: The existing literature on the magnetic resonance imaging of murine models of Alzheimers disease is reviewed. Particular attention is paid to the possibilities for the early detection of the disease. To this effect, not only are relaxometric and volumetric approaches discussed, but also mathematical models for plaque distribution and aggregation. Image analysis plays a prominent role in this line of research, as stochastic image models and texture analysis have shown some success in the classification of subjects affected by Alzheimers disease. It is concluded that relaxometric approaches seem to be a promising candidate for the task at hand, especially when combined with sophisticated image analysis, and when data from more than one time-point is available. There have been few longitudinal studies of mice models so far, so this direction of research warrants future efforts.
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Muskulus M., Scheenstra E.H. A., Braakman N., Dijkstra J., Verduyn-Lunel S., Alia A., de Groot J.M. H. and Reiber H.C. J., Prospects for Early Detection of Alzheimers Disease from Serial MR Images in Transgenic Mouse Models, Current Alzheimer Research 2009; 6 (6) . https://dx.doi.org/10.2174/156720509790147089
DOI https://dx.doi.org/10.2174/156720509790147089 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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