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X-ray Imaging01:24

X-ray Imaging

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 X-rays, and by 1900, X-ray was widely...
Computed Tomography01:10

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.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

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Related Experiment Video

Updated: Jun 12, 2026

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera
06:28

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera

Published on: January 30, 2020

Gamma ray imaging probes. 2: Code optimization.

W J Wild

    Applied Optics
    |June 18, 2010
    PubMed
    Summary
    This summary is machine-generated.

    Optimizing coded aperture gamma ray imaging involves balancing signal, background, and noise. Simulations show that the best aperture code choice depends on detector count times, impacting imaging performance.

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    Last Updated: Jun 12, 2026

    Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera
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    Published on: January 30, 2020

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    Published on: September 13, 2013

    Area of Science:

    • Nuclear physics
    • Image processing
    • Scientific instrumentation

    Background:

    • Coded aperture imaging is a technique used in gamma ray detection.
    • Optimizing aperture design is crucial for image quality.
    • The Hotelling trace is a metric used to evaluate imaging system performance.

    Purpose of the Study:

    • To optimize the azimuthal aperture in a coded aperture gamma ray imaging system.
    • To investigate the influence of various factors on aperture optimization.
    • To determine the optimal aperture code for different detector integration times.

    Main Methods:

    • Utilizing the Hotelling trace as a figure of merit.
    • Performing simulations that incorporate signal and background variability, nonstationary noise, aperture code choice, and detector integration time.
    • Analyzing simulation results to identify optimal aperture configurations.

    Main Results:

    • Identified crossing points where different aperture codes become optimal based on detector count times.
    • Demonstrated the impact of signal/background variability and noise on optimization.
    • Showcased the trade-offs between different coded aperture designs.

    Conclusions:

    • The choice of aperture code in gamma ray imaging is dependent on detector integration time.
    • The presented optimization approach is generalizable to other coded aperture systems.
    • Effective optimization requires considering multiple system parameters simultaneously.