Computed tomography of amyloid plaques in a mouse model of Alzheimers disease using diffraction enhanced imaging
Abstract
Our understanding of early development in Alzheimer's disease (AD) is clouded by the scale at which the disease progresses; amyloid beta (A{beta}) plaques, a hallmark feature of AD, are small ({approx} 50 {micro}m) and low contrast in diagnostic clinical imaging techniques. Diffraction enhanced imaging (DEI), a phase contrast x-ray imaging technique, has greater soft tissue contrast than conventional radiography and generates higher resolution images than magnetic resonance microimaging. Thus, in this proof of principle study, DEI in micro-CT mode was performed on the brains of AD-model mice to determine if DEI can visualize A{beta} plaques. Results revealed small nodules in the cortex and hippocampus of the brain. Histology confirmed that the features seen in the DEI images of the brain were A{beta} plaques. Several anatomical structures, including hippocampal subregions and white matter tracks, were also observed. Thus, DEI has strong promise in early diagnosis of AD, as well as general studies of the mouse brain.
- Authors:
- Publication Date:
- Research Org.:
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Sponsoring Org.:
- USDOE SC OFFICE OF SCIENCE (SC)
- OSTI Identifier:
- 1041115
- Report Number(s):
- BNL-90374-2009-JA
Journal ID: ISSN 1053-8119; R&D Project: LS-001; KC0204011; TRN: US201211%%420
- DOE Contract Number:
- DE-AC02-98CH10886
- Resource Type:
- Journal Article
- Journal Name:
- Neuroimage
- Additional Journal Information:
- Journal Volume: 46; Journal Issue: 4; Journal ID: ISSN 1053-8119
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 60 APPLIED LIFE SCIENCES; BRAIN; COMPUTERIZED TOMOGRAPHY; DIAGNOSIS; DIFFRACTION; DISEASES; HIPPOCAMPUS; HISTOLOGY; MAGNETIC RESONANCE; MICE; RESOLUTION
Citation Formats
Connor, D M, Miller, L, Benveniste, H, Dilmanian, A, Kritzer, M, and Zhong, Z. Computed tomography of amyloid plaques in a mouse model of Alzheimers disease using diffraction enhanced imaging. United States: N. p., 2009.
Web. doi:10.1016/j.neuroimage.2009.03.019.
Connor, D M, Miller, L, Benveniste, H, Dilmanian, A, Kritzer, M, & Zhong, Z. Computed tomography of amyloid plaques in a mouse model of Alzheimers disease using diffraction enhanced imaging. United States. https://doi.org/10.1016/j.neuroimage.2009.03.019
Connor, D M, Miller, L, Benveniste, H, Dilmanian, A, Kritzer, M, and Zhong, Z. 2009.
"Computed tomography of amyloid plaques in a mouse model of Alzheimers disease using diffraction enhanced imaging". United States. https://doi.org/10.1016/j.neuroimage.2009.03.019.
@article{osti_1041115,
title = {Computed tomography of amyloid plaques in a mouse model of Alzheimers disease using diffraction enhanced imaging},
author = {Connor, D M and Miller, L and Benveniste, H and Dilmanian, A and Kritzer, M and Zhong, Z},
abstractNote = {Our understanding of early development in Alzheimer's disease (AD) is clouded by the scale at which the disease progresses; amyloid beta (A{beta}) plaques, a hallmark feature of AD, are small ({approx} 50 {micro}m) and low contrast in diagnostic clinical imaging techniques. Diffraction enhanced imaging (DEI), a phase contrast x-ray imaging technique, has greater soft tissue contrast than conventional radiography and generates higher resolution images than magnetic resonance microimaging. Thus, in this proof of principle study, DEI in micro-CT mode was performed on the brains of AD-model mice to determine if DEI can visualize A{beta} plaques. Results revealed small nodules in the cortex and hippocampus of the brain. Histology confirmed that the features seen in the DEI images of the brain were A{beta} plaques. Several anatomical structures, including hippocampal subregions and white matter tracks, were also observed. Thus, DEI has strong promise in early diagnosis of AD, as well as general studies of the mouse brain.},
doi = {10.1016/j.neuroimage.2009.03.019},
url = {https://www.osti.gov/biblio/1041115},
journal = {Neuroimage},
issn = {1053-8119},
number = 4,
volume = 46,
place = {United States},
year = {Thu Mar 19 00:00:00 EDT 2009},
month = {Thu Mar 19 00:00:00 EDT 2009}
}