Fiber Tracking
Fiber Tracking - Related Videos
04:33
Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver
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Cited by 7 •
2018
Accurate and efficient visualization of invasive medical devices is extremely important in many ultrasound-guided minimally invasive procedures. Here, a method for localizing the spatial position of a needle tip relative to the ultrasound imaging probe is presented.
08:28
Microfluidic Dry-spinning and Characterization of Regenerated Silk Fibroin Fibers
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Cited by 6 •
2017
A protocol for the microfluidic spinning and microstructure characterization of regenerated silk fibroin monofilament is presented.
16:23
Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation
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Cited by 32 •
2017
The purpose of this study is to show each step of the fiber dissection technique on human cadaveric brains, the 3D documentation of these dissections, and the diffusion tensor imaging of the anatomically dissected fiber pathways.
03:55
In Vivo Single-Fiber Recording of Sciatic Nerve C-Fibers in Rats
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2025
This video demonstrates a single-fiber recording of C-fiber nerve conduction in rats. An anesthetized rat is incised to expose the sciatic nerve, which provides sensory and motor supply to the lower limbs. The individual C-fibers are then exposed. Electrical stimulation is provided using stimulus electrodes implanted in the foot, and a response is recorded from a single nerve fiber.
07:36
C. elegans Tracking and Behavioral Measurement
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Cited by 14 •
2012
We have developed a video-rate tracking microscope system that can record and quantify C. elegans behavior at high resolution and high speeds. We have also developed computational methods to reduce the dimensionality of the worm images to a fundamental set of measurements that completely describe the shape of the worm.
FAQs
Magnetic-field gradients in diffusion magnetic resonance imaging measure the directional movement of water molecules within brain tissue. Because water movement tends to follow the orientation of axonal bundles, these measurements provide directional information about white matter. The resulting signal does not directly display fibers; it supplies the physical measurements that computational methods later use to estimate pathway trajectories.
Computational algorithms convert directional diffusion measurements into reconstructed tractography maps. They analyze how water movement varies across the imaged tissue and estimate continuous trajectories through regions with related orientations. This processing is essential because the scanner records diffusion behavior rather than visible nerve-fiber pathways, allowing researchers and clinicians to examine structural connections in a mapped form.
White matter orientation provides the structural basis for interpreting diffusion measurements. Water movement tends to align with axonal bundles, so the direction of that movement can indicate how pathways are arranged through the brain. This relationship helps Fiber Tracking represent connections between regions and supports assessment of structural changes associated with injury, stroke, or tumor development.
Changes in tractography maps can help reveal alterations in the structural pathways connecting brain regions after injury or stroke. By comparing the mapped organization of white matter, investigators can examine how these conditions affect nerve-fiber pathways. The technique therefore adds structural connectivity information to medical assessment of brain changes rather than focusing only on the affected region itself.
A typical workflow begins by acquiring diffusion magnetic resonance images with strong magnetic-field gradients. Those measurements characterize directional water movement across brain tissue. Computational algorithms then analyze the diffusion information and reconstruct trajectories that represent white matter pathways. The final tractography map can be examined to study structural connections or to support interpretation in a clinical setting.
In neurosurgical planning, Fiber Tracking can help identify critical nerve-fiber pathways in relation to a planned intervention. Mapping these structural connections gives clinicians additional information about the organization of white matter near areas of concern. This context may improve planning by making important pathways visible for consideration alongside the patient’s broader medical and imaging assessment.
Researchers use Fiber Tracking to investigate brain connectivity and structural changes associated with neurological disease. The reconstructed maps allow studies to examine how white matter pathways link different regions and how those pathways may change with disease, injury, stroke, or tumor development. This makes the technique useful for connecting imaging findings with the organization of the brain’s structural networks.