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Related Concept Videos

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
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Related Experiment Video

Updated: Jun 23, 2026

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)
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Optical tomography using the SCIRun problem solving environment: Preliminary results for three-dimensional geometries

M Schweiger, L Zhukov, S Arridge

    Optics Express
    |April 28, 2009
    PubMed
    Summary

    This study introduces a 3D implementation of the TOAST imaging package within the SCIRun environment for advanced absorption and scatter reconstruction. This integration enhances interactive simulation and visualization for scientific computations.

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    Area of Science:

    • Medical Imaging
    • Computational Science
    • Biomedical Engineering

    Background:

    • Time-resolved optical imaging generates complex data requiring sophisticated reconstruction techniques.
    • Existing imaging packages may lack advanced 3D visualization and interactive simulation capabilities.
    • The SCIRun environment offers a powerful platform for developing and deploying scientific computations.

    Purpose of the Study:

    • To present a 3D implementation of the UCL imaging package for absorption and scatter reconstruction from time-resolved data (TOAST).
    • To integrate TOAST within the SCIRun interactive simulation and visualization package.
    • To demonstrate the combined capabilities for 3D model reconstruction and analysis.

    Main Methods:

    • Developed a 3D implementation of the TOAST package.
    • Embedded TOAST within the SCIRun computational workbench.
    • Utilized SCIRun's dataflow programming model for interactive simulation design and modification.
    • Applied the combined approach to reconstruct a segmented 3D head model.

    Main Results:

    • Successfully integrated the TOAST imaging package into the SCIRun environment.
    • Demonstrated interactive 3D reconstruction of a segmented head model.
    • Showcased the ability to design, debug, and steer large-scale scientific computations.
    • Validated the utility of the combined TOAST/SCIRun approach for time-resolved optical imaging analysis.

    Conclusions:

    • The integrated TOAST/SCIRun system provides a powerful and interactive platform for 3D absorption and scatter reconstruction.
    • This approach facilitates efficient simulation, visualization, and analysis of time-resolved optical imaging data.
    • The combined package offers significant advantages for researchers in biomedical optics and related fields.