In Vivo Microct
In Vivo Microct - Related Videos
08:57
High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT
0 Views •
Cited by 13 •
2011
Non-destructive volume visualization can be achieved only by tomographic techniques, of which the most efficient is the x-ray micro computerized tomography ( CT).
11:18
Micro-CT Imaging of a Mouse Spinal Cord
0 Views •
2023
Source: Peiman Shahbeigi-Roodposhti and Sina Shahbazmohamadi, Biomedical Engineering Department, University of Connecticut, Storrs, Connecticut It's a little-known fact that the discovery and (inadvertent) use of X-rays garnered the first ever Nobel Prize in Physics. The famous X-ray image of Dr. Röntgen's wife's hand from 1895 that sent shock waves through the scientific community looks like most modern day 2D medical X-ray images. Though it is not the newest technology, X-ray absorption...
07:07
Determining Glucose Metabolism Kinetics Using 18F-FDG Micro-PET/CT
0 Views •
Cited by 15 •
2017
This study describes a protocol that uses 18F-FDG and positron emission tomography/computed tomography (PET/CT) imaging, together with kinetic modelling, to quantify the in vivo, real-time uptake of 18F-FDG into tissues.
10:53
Functional Imaging of Brown Fat in Mice with 18F-FDG micro-PET/CT
0 Views •
Cited by 37 •
2012
A method of functional imaging of mouse brown adipose tissue (BAT) is described in which cold-stimulated uptake of 18F-Fluorodeoxyglucose (FDG) in BAT is non-invasively assessed with a standardized micro-PET/CT protocol. This method is robust and sensitive to detect differences in BAT activities in mouse models.
03:35
Contrast-Enhanced Micro-CT Imaging of Cerebral Cavernous Malformation Lesions in a Mouse Brain
0 Views •
2025
Source: Choi, J. P. et al. Induction and Micro-CT Imaging of Cerebral Cavernous Malformations in Mouse Model. J. Vis. Exp. (2017)This video demonstrates the use of micro-CT imaging to visualize cerebral cavernous malformation (CCM) lesions in a mouse brain. It details the steps for sample preparation, imaging, and 3D image reconstruction to evaluate the density and location of CCM lesions in brain tissue.
FAQs
Materials within the subject attenuate, or weaken, X-rays to different degrees. The detector records these differences from multiple rotational views, and computational reconstruction converts the measurements into cross-sectional images and three-dimensional volumetric datasets. This relationship allows investigators to quantify structural features such as bone density and trabecular architecture rather than relying only on visual inspection.
Repeated imaging tracks structural change in the same living subject over time. This longitudinal design can reveal disease progression, treatment response, skeletal repair, or implant integration as they develop, while reducing reliance on terminal sampling. Comparing measurements across scan time points also helps distinguish individual variation from changes associated with an intervention or disease process.
Contrast-enhanced protocols extend assessment beyond structures that can be evaluated without added contrast. They can make selected soft tissues and vasculature visible within the reconstructed dataset, complementing measurements of bone and skeletal architecture. Their value is therefore application-dependent: protocols can be selected when the research question concerns vascular or soft-tissue features rather than bone alone.
A scan positions the living subject within the imaging system while an X-ray source and detector rotate around it. The detector collects attenuation measurements from different viewing angles, after which computational algorithms reconstruct cross-sectional images and volumetric data. Investigators can then examine the anatomy in three dimensions and extract measurements relevant to the study question.
Medical researchers use this approach when they need repeated, high-resolution assessment of internal structural changes in living subjects. Key applications include monitoring bone density, trabecular architecture, skeletal repair, disease progression, treatment response, and implant integration. The ability to follow these outcomes over time supports studies in which a single terminal assessment would provide less temporal information.
Bone-focused scans can provide quantitative information about bone density and trabecular architecture, two structural outcomes that may change during disease, therapy, or repair. Three-dimensional datasets also support assessment of skeletal healing and implant integration. These measurements help investigators evaluate whether anatomy changes over time and relate those changes to the course of an experiment or treatment.
Longitudinal imaging allows researchers to observe skeletal repair and implant integration across successive examinations rather than only at the endpoint. The resulting volumetric datasets can document changes in bone structure around the healing or implanted region. This temporal information helps characterize progression and treatment response while reducing the need to obtain information through terminal sampling at each stage.