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Related Concept Videos

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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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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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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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 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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Phase Contrast and Differential Interference Contrast Microscopy01:26

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Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
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Related Experiment Video

Updated: Apr 25, 2026

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
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Iterative ghost imaging.

Wei Wang, Yan Pu Wang, Jiahua Li

    Optics Letters
    |August 29, 2014
    PubMed
    Summary

    Iterative ghost imaging (IGI) improves image recovery by correcting errors from limited measurements. This method enhances signal-to-noise ratio (SNR) for perfect object reconstruction, even with fewer measurements than speckles.

    Area of Science:

    • Optics and Photonics
    • Computational Imaging
    • Signal Processing

    Background:

    • Traditional ghost imaging (GI) suffers from image errors when using a limited number of measurements (M).
    • These errors arise from the inherent limitations in capturing sufficient data for accurate reconstruction.
    • Iterative approaches are needed to refine GI reconstructions.

    Purpose of the Study:

    • To introduce and experimentally validate an iterative ghost imaging (IGI) scheme.
    • To demonstrate improved image reconstruction quality compared to traditional GI.
    • To analyze the theoretical underpinnings of the IGI approach, focusing on error correction and SNR enhancement.

    Main Methods:

    • Development of an experimental scheme for IGI implementation.

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  • Utilizing a narrowed point spread function and exponentially increasing signal-to-noise ratio (SNR).
  • Theoretical analysis based on high-order correlation R(k) to derive iterative coefficients (α) and measurement (M) behaviors.

    • Main Results:

    • IGI successfully reconstructs a better image by iteratively correcting high-order error terms.
    • The experimental scheme achieved an exponentially increasing SNR due to the replacement of M with M(k).
    • Perfect object recovery was demonstrated with M slightly larger than the number of speckles.

    Conclusions:

    • IGI offers a complexity-free method for enhancing image quality in ghost imaging.
    • The proposed theoretical framework explains the critical behaviors of iterative coefficients and measurements in IGI.
    • IGI provides a robust solution for accurate object reconstruction under limited measurement conditions.