Echomri
Echomri - Related Videos
05:07
Pulmonary Structural MRI using Free-Breathing, Self-Gated Ultra-short Echo Time Imaging
0 Views •
2024
A protocol is described for generating high-resolution structural images of the lungs using ultra-short-echo time (UTE) Magnetic Resonance Imaging (MRI). This protocol allows for images to be acquired using a simple MRI pulse sequence during free-breathing.
01:06
Echo
0 Views •
2023
The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources. Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case, then the...
06:06
Optogenetic Functional MRI
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Cited by 15 •
2016
This protocol describes the steps and data analysis required to successfully perform optogenetic functional magnetic resonance imaging (ofMRI). ofMRI is a novel technique that combines high-field fMRI readout with optogenetic stimulation, allowing for cell type-specific mapping of functional neural circuits and their dynamics across the whole living brain.
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.
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.
FAQs
Radiofrequency pulses generate nuclear magnetic resonance signals from hydrogen nuclei in the magnetic field. Because the resulting signals differ among body-composition compartments, the measurement can distinguish and quantify fat, lean tissue, and body water rather than treating total body mass as a single value. This signal-based separation provides the mechanistic basis for tracking compartment-specific changes.
Separating these compartments matters because a change in body weight may reflect different underlying shifts in fat, lean tissue, or water. EchoMRI therefore supplies a more informative body-composition profile than a single overall mass measurement. In medical research, that distinction helps investigators examine whether a treatment-related change is associated with a particular tissue compartment.
The key distinction is that EchoMRI obtains body-composition information without ionizing radiation. That feature is relevant when measurements need to be repeated over time, because the method can support longitudinal assessment while avoiding radiation exposure from the measurement itself. It therefore complements, rather than replaces, clinical and laboratory assessments when researchers follow changes in body composition.
During a measurement, the subject is placed in a magnetic field and exposed to radiofrequency pulses. The system detects nuclear magnetic resonance signals from hydrogen nuclei, then uses differences in those signals to quantify fat, lean tissue, and body water. The resulting measurement is rapid and noninvasive, making the workflow suitable for repeated assessments.
In medicine, EchoMRI is particularly relevant to obesity and metabolic research, where investigators may need quantitative information about body-composition changes. It can also be used to monitor changes associated with treatment and to support studies that collect measurements repeatedly. These applications extend assessment beyond general weight change by focusing on fat, lean tissue, and body water.
Repeated measurements can show how fat, lean tissue, and body water change across a study period. This is useful for evaluating treatment-related body-composition changes and for describing trajectories in longitudinal research. Because the technique is rapid and noninvasive, researchers can incorporate serial assessments alongside clinical and laboratory findings, rather than relying on a single time point.