Mri Image Analysis
Mri Image Analysis - Related Videos
10:35
Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia
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Cited by 4 •
2015
The method presented here uses simultaneous positron emission tomography and magnetic resonance imaging. In the cerebral hypoxia-ischemia model, dynamic changes in diffusion and glucose metabolism occur during and after injury. The evolving and irreproducible damage in this model necessitates simultaneous acquisition if meaningful multi-modal imaging data are to be acquired.
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,...
09:33
MRI Mapping of Cerebrovascular Reactivity via Gas Inhalation Challenges
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Cited by 79 •
2014
Non-invasive imaging of the brain vasculature’s ability to dilate or constrict may allow a better understanding of cerebrovascular pathophysiology in various neurological diseases. The present report describes a reproducible and patient-comfortable protocol to perform vascular reactivity imaging in humans using magnetic resonance imaging (MRI).
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).
01:14
Imaging Studies I: CT and MRI
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2025
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties. Description of the Procedures Computed Tomography (CT) scan: Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
FAQs
Preprocessing typically addresses artifacts before measurements are extracted. These corrections help reduce image irregularities that could otherwise be mistaken for biological differences. The precise operations depend on the images and research goal, but the principle is to improve consistency before scans are compared across participants or time points.
Spatial registration aligns scans within a common spatial framework. This alignment allows corresponding brain regions to be compared more consistently between individuals or across repeated examinations. Without registration, differences in image positioning could interfere with the interpretation of regional anatomy, tissue properties, or changes observed over time.
Segmentation separates an image into meaningful tissue classes or anatomical regions. This step makes it possible to measure specific structures rather than treating the brain as a single undifferentiated image. In neuroscience, those region-specific measurements can support comparisons of brain organization, development, aging, neurological disorders, or treatment-related changes.
After images are prepared, aligned, and separated into relevant regions or tissue classes, quantitative feature extraction converts visual information into measurements. These measurements may describe anatomy, tissue properties, or patterns of brain structure and function. Researchers can then compare values across people or time points and relate them to behavior or disease.
A typical workflow moves from preprocessing to spatial registration, segmentation, and quantitative feature extraction. Each stage prepares the data for the next: artifacts are reduced, scans are aligned, relevant tissues or regions are distinguished, and measurable features are produced. Following a consistent sequence supports reproducible comparisons across subjects and repeated scans.
Neuroscience studies use these measurements for brain mapping, investigations of development and aging, characterization of neurological disorders, and evaluation of treatment-related changes. The resulting data can support comparisons between individuals, tracking of brain changes over time, and examination of relationships between brain organization, behavior, and disease.