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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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Imaging Studies III: Computed Tomography01:27

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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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X-ray Imaging01:24

X-ray Imaging

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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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Imaging Studies I: CT and MRI01:14

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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:
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Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

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Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
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Imaging Studies II: Ultrasonography01:24

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IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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Related Experiment Video

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Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo
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Compressive imaging via a rotating coded aperture.

Michael L Don, Chen Fu, Gonzalo R Arce

    Applied Optics
    |February 4, 2017
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    Summary
    This summary is machine-generated.

    This study presents a novel rotating coded aperture for compressive imaging, enabling high-resolution image recovery from minimal sensor data. This innovative technique enhances imaging capabilities using fewer pixels.

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    Area of Science:

    • Optics and photonics
    • Image processing
    • Sensor technology

    Background:

    • Compressive sensing (CS) enables high-resolution imaging from low-resolution sensors.
    • Existing CS methods face limitations in sensor array resolution and data acquisition.
    • Novel sensing strategies are needed to overcome these challenges.

    Purpose of the Study:

    • Introduce a rotating coded aperture for compressive imaging.
    • Address limitations of current sensing strategies.
    • Optimize code geometry for rotational constraints.

    Main Methods:

    • Developed a rotating coded aperture system for compressive imaging.
    • Designed code geometry considering imager rotation constraints.
    • Optimized the block-unblock code pattern by minimizing sensing matrix mutual coherence.

    Main Results:

    • Successfully recovered high-resolution images from a very small sensor array.
    • Demonstrated the effectiveness of the rotating coded aperture design.
    • Simulation results validate the proposed method's performance.

    Conclusions:

    • The rotating coded aperture is an effective strategy for compressive imaging.
    • This method allows for high-resolution image recovery with minimal sensor data.
    • The optimized code design offers advantages over existing sensing techniques.