In Vivo Mri Analysis
In Vivo Mri Analysis - Related Videos
10:05
In vivo 19F MRI for Cell Tracking
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Cited by 21 •
2013
We describe a general protocol for in vivo cell tracking using MRI in a mouse model with ex vivo labeled cells. A typical protocol for cell labeling, image acquisition processing and quantification is included.
06:58
Synthesis of an In vivo MRI-detectable Apoptosis Probe
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Cited by 3 •
2012
Early detection of apoptosis may identify at-risk cell populations in a variety of diseases. Here we demonstrate a method to link an early apoptosis-detection protein (Annexin V) to a MRI-detectable iron oxide nanoparticle (SPIO). This method may be extended to other proteins of interest to generate MRI-detectable molecular imaging probes.
06:21
In Vivo MRI Analysis of Cranial Nerve Morphology in a Patient with Inner Ear Disorder
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2025
Source: Flatz, W. H. et al. In Vivo Morphometric Analysis of Human Cranial Nerves Using Magnetic Resonance Imaging in Menière's Disease Ears and Normal Hearing Ears. J. Vis. Exp. (2018).This video demonstrates the use of MRI to analyze cranial nerve morphology in the ears of patients suffering from a chronic inner ear disorder. It outlines the steps for performing a high magnetic field MRI scan on the patient, reconstructing the high-resolution 3D cross-sectional images of the cranial nerves,...
12:27
Noninvasive In Vivo Small Animal MRI and MRS: Basic Experimental Procedures
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Cited by 9 •
2009
This work describes basic procedures of noninvasive small animal MRI and MRS in vivo.
11:38
In vivo Imaging of Optic Nerve Fiber Integrity by Contrast-Enhanced MRI in Mice
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Cited by 7 •
2014
This video illustrates a method, using a clinical 3 T scanner, for contrast-enhanced MR imaging of the naïve mouse visual projection and for repetitive and longitudinal in vivo studies of optic nerve degeneration associated with acute optic nerve crush injury and chronic optic nerve degeneration in knock-out mice (p50KO).
FAQs
Radiofrequency pulses temporarily move hydrogen nuclei away from equilibrium within the magnetic field. As the nuclei return toward equilibrium, they produce signals that vary according to tissue properties. The system detects these differences and reconstructs them into images or quantitative maps, allowing analysts to distinguish anatomical or pathological features without removing tissue from the living organism.
Quantitative maps represent measured tissue-related information in a form that can be evaluated across regions or time points, rather than relying only on visual appearance. This supports analysis of physiological or pathological features and can help identify treatment-related changes. In medical research, such measurements strengthen comparisons between examinations and contribute to more systematic interpretation.
Because the approach does not require surgical sampling, the same organism can undergo repeated examinations. Analysts can compare images or quantitative measurements from different time points to evaluate disease progression, treatment-related changes, or evolving physiological features. This longitudinal perspective is particularly valuable when a single examination cannot show whether a condition is stable, improving, or worsening.
The workflow begins with image acquisition while the subject is positioned in the magnetic field and exposed to radiofrequency pulses. Detected signals are then reconstructed into images or quantitative maps. Analysis focuses on the anatomical, physiological, or pathological features relevant to the study, followed by interpretation of the measurements in a medical or research context.
Medical applications include evaluating organs, tumors, blood flow, and changes associated with treatment. The method can support diagnosis and disease monitoring while also providing measurements for studies of human biology. Its value is greatest when investigators need information from living tissue repeatedly, without relying on surgical sampling for every assessment.
In vivo measurements allow researchers to examine anatomy and function within living organisms rather than inferring every change from removed specimens. MRI analysis can therefore connect structural findings with physiological or pathological features and follow those findings across time. In medicine, this supports research on disease processes, treatment response, and the relationship between imaging measurements and biological change.