scholarly journals High-resolution, multicontrast three-dimensional-MRI characterizes atherosclerotic plaque composition in ApoE-/- mice ex vivo

2004 ◽  
Vol 20 (6) ◽  
pp. 981-989 ◽  
Author(s):  
J�rgen E. Schneider ◽  
Martina A. McAteer ◽  
Damian J. Tyler ◽  
Kieran Clarke ◽  
Keith M. Channon ◽  
...  
Keyword(s):  
High Resolution ◽  
Atherosclerotic Plaque ◽  
Ex Vivo ◽  
Three Dimensional ◽  
Plaque Composition

scholarly journals High-resolution three-dimensional in vivo imaging of atherosclerotic plaque

1999 ◽  
Vol 42 (4) ◽  
pp. 762-771 ◽  
Author(s):  
Gerard T. Luk-Pat ◽  
Garry E. Gold ◽  
Eric W. Olcott ◽  
Bob S. Hu ◽  
Dwight G. Nishimura
Keyword(s):  
High Resolution ◽  
Atherosclerotic Plaque ◽  
In Vivo Imaging ◽  
Three Dimensional

High-resolution quantitative US and MR images for assessment of atherosclerotic plaque composition

1998 ◽  
Vol 7 ◽  
pp. S10
Author(s):  
S.Lori Bridal ◽  
Jean-François Toussaint ◽  
Jean-Sebastien Raynaud ◽  
Paul Fornes ◽  
Anne Leroy-Willig ◽  
...  
Keyword(s):  
High Resolution ◽  
Atherosclerotic Plaque ◽  
Mr Images ◽  
Plaque Composition ◽  
Quantitative Us

scholarly journals High-resolution mapping and digital atlas of subcortical regions in the macaque monkey based on matched MAP-MRI and histology

2021 ◽  
Author(s):  
Kadharbatcha S Saleem ◽  
Alexandru V Avram ◽  
Daniel Glen ◽  
Cecil Chern-Chyi Yen ◽  
Frank Q Ye ◽  
...  
Keyword(s):  
High Resolution ◽  
Ex Vivo ◽  
Three Dimensional ◽  
Brain Structures ◽  
Macaque Monkey ◽  
Three Dimensions ◽  
Brain Atlas ◽  
Fiber Tracts ◽  
Subcortical Regions ◽  
Deep Brain

Subcortical nuclei and other deep brain structures are known to play an important role in the regulation of the central and peripheral nervous systems. It can be difficult to identify and delineate many of these nuclei and their finer subdivisions in conventional MRI due to their small size, buried location, and often subtle contrast compared to neighboring tissue. To address this problem, we applied a multi-modal approach in ex vivo non-human primate (NHP) brain that includes high-resolution mean apparent propagator (MAP)-MRI and five different histological stains imaged with high-resolution microscopy in the brain of the same subject. By registering these high-dimensional MRI data to high-resolution histology data, we can map the location, boundaries, subdivisions, and micro-architectural features of subcortical gray matter regions in the macaque monkey brain. At high spatial resolution, diffusion MRI in general, and MAP-MRI in particular, can distinguish a large number of deep brain structures, including the larger and smaller white matter fiber tracts as well as architectonic features within various nuclei. Correlation with histology from the same brain enables a thorough validation of the structures identified with MAP-MRI. Moreover, anatomical details that are evident in images of MAP-MRI parameters are not visible in conventional T1-weighted images. We also derived subcortical template SC21 from segmented MRI slices in three-dimensions and registered this volume to a previously published anatomical template with cortical parcellation (Reveley et al., 2017; Saleem and Logothetis, 2012), thereby integrating the 3D segmentation of both cortical and subcortical regions into the same volume. This newly updated three-dimensional D99 digital brain atlas (V2.0) is intended for use as a reference standard for macaque neuroanatomical, functional, and connectional imaging studies, involving both cortical and subcortical targets. The SC21 and D99 digital templates are available as volumes and surfaces in standard NIFTI and GIFTI formats.

scholarly journals Deep learning reveals 3D atherosclerotic plaque distribution and composition

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Vanessa Isabell Jurtz ◽  
Grethe Skovbjerg ◽  
Casper Gravesen Salinas ◽  
Urmas Roostalu ◽  
Louise Pedersen ◽  
...  
Keyword(s):  
Deep Learning ◽  
Atherosclerotic Plaque ◽  
Immune Cell ◽  
Ex Vivo ◽  
Light Sheet ◽  
Plaque Burden ◽  
Plaque Composition ◽  
Disease Trajectory ◽  
Non Destructive ◽  
Light Sheet Fluorescence Microscopy

AbstractComplications of atherosclerosis are the leading cause of morbidity and mortality worldwide. Various genetically modified mouse models are used to investigate disease trajectory with classical histology, currently the preferred methodology to elucidate plaque composition. Here, we show the strength of light-sheet fluorescence microscopy combined with deep learning image analysis for characterising and quantifying plaque burden and composition in whole aorta specimens. 3D imaging is a non-destructive method that requires minimal ex vivo handling and can be up-scaled to large sample sizes. Combined with deep learning, atherosclerotic plaque in mice can be identified without any ex vivo staining due to the autofluorescent nature of the tissue. The aorta and its branches can subsequently be segmented to determine how anatomical position affects plaque composition and progression. Here, we find the highest plaque accumulation in the aortic arch and brachiocephalic artery. Simultaneously, aortas can be stained for markers of interest (for example the pan immune cell marker CD45) and quantified. In ApoE−/− mice we observe that levels of CD45 reach a plateau after which increases in plaque volume no longer correlate to immune cell infiltration. All underlying code is made publicly available to ease adaption of the method.

Three-dimensional and quantitative analysis of atherosclerotic plaque composition by automated differential echogenicity

2007 ◽  
Vol 70 (7) ◽  
pp. 968-978 ◽  
Author(s):  
Nico Bruining ◽  
Stefan Verheye ◽  
Michiel Knaapen ◽  
Pamela Somers ◽  
Jos R.T.C. Roelandt ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Atherosclerotic Plaque ◽  
Three Dimensional ◽  
Plaque Composition
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