Preclinical Imaging
Preclinical Imaging - Related Videos
09:46
Imaging In-Stent Restenosis: An Inexpensive, Reliable, and Rapid Preclinical Model
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Cited by 5 •
2009
This video demonstrates how to use a preclinical inexpensive and reliable model to study pathobiological and pathophysiological processes of in-stent restenosis development. Longitudinal in vivo monitoring using OCT (Optical Coherence Tomography) and analysis of OCT images are also demonstrated.
07:13
Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
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Cited by 1 •
2023
The combination of multiple imaging modalities is often necessary to gain a comprehensive understanding of pathophysiology. This approach utilizes phantoms to generate a differential transformation between the coordinate systems of two modalities, which is then applied for co-registration. This method eliminates the need for fiducials in production scans.
08:20
Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings
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Cited by 16 •
2015
This video introduces the preparation, recording, and source analysis procedures of high-resolution EEG on sedated rats with a particular preclinical model of focal epilepsy under noninvasive conditions.
06:51
A Preclinical Murine Model of Hepatic Metastases
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Cited by 119 •
2014
A preclinical, murine model of hepatic metastases performed via a hemispleen injection technique.
11:06
3D Printing of Preclinical X-ray Computed Tomographic Data Sets
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Cited by 16 •
2013
Using modern plastic extrusion and printing technologies, it is now possible to quickly and inexpensively produce physical models of X-ray CT data taken in a laboratory. The three -dimensional printing of tomographic data is a powerful visualization, research, and educational tool that may now be accessed by the preclinical imaging community.
FAQs
Each modality detects a different physical signal, so the resulting measurements emphasize different aspects of an experimental model. Magnetic resonance imaging, computed tomography, and ultrasound can contribute structural or functional information, while optical imaging and positron emission tomography can support biological measurements at other levels. Selecting among them depends on whether the study prioritizes anatomy, molecular activity, or physiology.
Repeated imaging allows researchers to follow biological changes over time in the same experimental animals. This design can reveal patterns in tumor growth, organ function, drug distribution, or treatment response that isolated observations may miss. It also reduces the need to sacrifice animals at every time point, making disease progression and intervention effects easier to compare across a study.
Imaging translates underlying biological activity into observable measurements of structure, function, or molecular behavior. For example, changes in a tumor, an organ, or the distribution of a drug can be tracked alongside an intervention. This connection helps researchers evaluate whether a proposed treatment produces the expected biological effect and supports interpretation of disease processes in experimental models.
The choice follows the type of information required by the study. A project focused on anatomy may use a modality suited to structural visualization, whereas investigations of molecular or physiological changes require a method that captures those signals. Magnetic resonance imaging, computed tomography, ultrasound, optical imaging, and positron emission tomography therefore serve complementary roles rather than providing interchangeable measurements.
Studies can monitor tumor growth, organ function, drug distribution, and treatment response in laboratory animals or other experimental models. These outcomes provide time-dependent evidence about how disease changes and whether an intervention alters that course. Because imaging links measurable changes with biological processes, it can help researchers identify promising therapies before clinical testing.
In translational research, imaging helps connect findings from experimental models with questions relevant to human studies. Researchers can examine disease-related changes and therapeutic effects through anatomical, molecular, or physiological measurements before clinical testing. This evidence supports the selection of promising interventions and provides a biological basis for deciding which results warrant further development.