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Contrast enhanced X-ray computed tomography imaging of amyloid plaques in Alzheimer disease rat model on lab based micro CT system.
- Source :
-
Scientific reports [Sci Rep] 2021 Mar 16; Vol. 11 (1), pp. 5999. Date of Electronic Publication: 2021 Mar 16. - Publication Year :
- 2021
-
Abstract
- Amyloid plaques are small (~ 50 μm), highly-dense aggregates of amyloid beta (Aβ) protein in brain tissue, supposed to play a key role in pathogenesis of Alzheimer's disease (AD). Plaques´ in vivo detection, spatial distribution and quantitative characterization could be an essential marker in diagnostics and evaluation of AD progress. However, current imaging methods in clinics possess substantial limits in sensitivity towards Aβ plaques to play a considerable role in AD screening. Contrast enhanced X-ray micro computed tomography (micro CT) is an emerging highly sensitive imaging technique capable of high resolution visualization of rodent brain. In this study we show the absorption based contrast enhanced X-ray micro CT imaging is viable method for detection and 3D analysis of Aβ plaques in transgenic rodent models of Alzheimer's disease. Using iodine contrasted brain tissue isolated from the Tg-F344-AD rat model we show the micro CT imaging is capable of precise imaging of Aβ plaques, making possible to further analyze various aspects of their 3D spatial distribution and other properties.
- Subjects :
- Alzheimer Disease metabolism
Amyloid beta-Peptides metabolism
Animals
Biomarkers
Brain diagnostic imaging
Brain metabolism
Brain pathology
Disease Models, Animal
Female
Image Processing, Computer-Assisted
Imaging, Three-Dimensional
Plaque, Amyloid metabolism
Rats
Alzheimer Disease diagnostic imaging
Alzheimer Disease pathology
Contrast Media
Plaque, Amyloid diagnostic imaging
Plaque, Amyloid pathology
Radiographic Image Enhancement
X-Ray Microtomography
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 11
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 33727592
- Full Text :
- https://doi.org/10.1038/s41598-021-84579-x