Fat-water Mri
Fat-water Mri - Related Videos
07:59
Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol
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Cited by 35 •
2018
The purpose of this work is to describe a protocol for creating a practical fat-water phantom that can be customized to produce phantoms with varying fat percentages and volumes.
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.
06:41
Decellularizing Mammary Fat Pads: Deriving Extracellular Matrix Hydrogels from Mammary Fat Pads
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2023
This video describes a technique of deriving extracellular matrix hydrogels by decellularizing murine mammary fat pads following ex vivo irradiation for in vitro studies. This hydrogel helps to mimic the in vivo breast tissue environment post-radiation treatment to study tumor cell behavior.
09:25
Transplantation Into the Mouse Ovarian Fat Pad
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Cited by 7 •
2016
We describe an ovarian fad pad transplantation assay suitable for studies of normal and transformed epithelia of the female reproductive tract. The mouse fat pad allows transplantation of large tissue fragments, is easily accessible for surgery and imaging, and provides the most favorable native environment for tissues of Müllerian origin.
06:11
An Efficient Method to Obtain Dedifferentiated Fat Cells
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Cited by 4 •
2016
We have modified the conditions for DFAT cell generation and provide herein information regarding the use of an improved growth medium for the production of these cells.
FAQs
The technique relies on a small difference between the resonance frequencies of fat and water protons. Because their signals change relative to one another at selected echo times, the acquired measurements contain information about each component. Reconstruction algorithms use these signal changes to generate separate water-only and fat-only images, helping clarify tissue composition and reduce ambiguity from overlapping structures.
Echo times determine how the fat and water signals evolve relative to each other during image acquisition. Sampling at selected times captures the signal changes needed to distinguish the two components during reconstruction. Appropriate echo-time selection therefore influences whether the resulting water-only, fat-only, and fat-fraction images accurately represent the underlying composition.
A fat-fraction map provides a quantitative representation of the proportion of fat within tissue, rather than showing only the presence or distribution of each component. This supports assessment of tissue composition and allows changes to be followed over time. In medical research and disease evaluation, such measurements can complement visual interpretation with quantitative information.
The workflow begins by acquiring magnetic resonance images at selected echo times so that fat and water produce distinguishable signal changes. Those measurements are then combined during reconstruction to create water-only and fat-only images, and often a fat-fraction map. Clinicians or researchers can interpret these outputs separately or together to assess anatomy and composition.
For hepatic steatosis, the method can identify and quantify excess fat in the liver through fat-sensitive images and fat-fraction maps. This provides a noninvasive way to assess hepatic tissue composition and may support disease evaluation or monitoring. Because the examination does not use ionizing radiation, it can also be useful when repeated imaging is needed.
Fat-water MRI helps characterize the composition of bone marrow and soft tissues by showing how fat and water are distributed within them. It can also distinguish fat-containing abnormalities from neighboring structures, improving image interpretation. These capabilities are relevant to medical assessment, treatment monitoring, and quantitative research focused on tissue composition.
The technique produces composition-sensitive images and, often, quantitative fat-fraction maps rather than relying only on anatomic appearance. Researchers can use these outputs to evaluate tissue changes during treatment or to measure composition in clinical studies. Its noninvasive nature and lack of ionizing radiation make it suitable for repeated assessment when the study requires serial imaging.