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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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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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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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A technique for quantifying wrist motion using four-dimensional computed tomography: approach and validation.

Kristin Zhao, Ryan Breighner, David Holmes

    Journal of Biomechanical Engineering
    |April 23, 2015
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    Summary
    This summary is machine-generated.

    Four-dimensional computed tomography (4DCT) accurately quantifies subtle wrist motion, aiding diagnosis of ligament injuries. This advanced imaging technique provides precise measurements crucial for preventing osteoarthritis progression.

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    Area of Science:

    • Orthopedics
    • Medical Imaging
    • Biomechanics

    Background:

    • Wrist ligament injuries require accurate motion quantification for effective treatment and osteoarthritis prevention.
    • Current static imaging methods fail to capture dynamic joint motion indicative of ligament injury.
    • Four-dimensional computed tomography (4DCT) offers dynamic 3D imaging during wrist movement.

    Purpose of the Study:

    • To quantify and validate imaging biomarkers from 4DCT for clinical use.
    • To assess the accuracy of 4DCT in measuring wrist bone motion and joint proximity.

    Main Methods:

    • Segmenting bone volumes in dynamic 4DCT sequences.
    • Registering bone positions relative to a static posture.
    • Generating surface meshes to quantify minimum joint distances and bone motion.

    Main Results:

    • In vitro validation demonstrated high accuracy for 4DCT.
    • Rotation errors ranged from 0.00-0.68 degrees.
    • Translation errors ranged from 0.02-0.30 mm, comparable to other kinematic techniques.

    Conclusions:

    • 4DCT is a validated technique for quantifying wrist kinematics.
    • Accurate motion quantification using 4DCT can improve diagnosis of wrist ligament injuries.
    • This technology holds promise for guiding interventions and preventing osteoarthritis.