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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.
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: Sep 30, 2025

Three-dimensional Optical-resolution Photoacoustic Microscopy
08:31

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

18.4K

Photoacoustic computational ghost imaging.

Paul R Torke, Robert Nuster, Guenther Paltauf

    Optics Letters
    |March 15, 2022
    PubMed
    Summary

    This study introduces a novel photoacoustic imaging method using Hadamard patterns and computational ghost imaging. This technique enhances contrast-to-noise ratio and enables depth-resolved imaging, especially beneficial for light-sensitive samples.

    Area of Science:

    • Biomedical Optics
    • Acoustic Imaging
    • Computational Imaging

    Background:

    • Traditional optical-resolution photoacoustic imaging relies on slow single-pixel raster scanning.
    • Existing methods face limitations in contrast-to-noise ratio and sample radiant exposure constraints.

    Purpose of the Study:

    • To develop an alternative photoacoustic imaging method using Hadamard patterns.
    • To improve contrast-to-noise ratio and enable depth-resolved imaging.
    • To provide a solution for imaging light-sensitive samples.

    Main Methods:

    • Illumination of the sample with patterns derived from a Hadamard matrix.
    • Detection of generated ultrasound waves using a single detector.
    • Reconstruction of the image using principles from computational ghost imaging.

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    Main Results:

    • Demonstrated a significantly improved contrast-to-noise ratio compared to raster scanning in phantom experiments.
    • Successfully exploited temporal information for depth-resolved imaging.
    • The method showed potential for imaging samples with limited radiant exposure.

    Conclusions:

    • The proposed Hadamard pattern-based photoacoustic imaging offers a more efficient and sensitive alternative to raster scanning.
    • This technique is particularly advantageous for applications with strict radiant exposure limitations.
    • Future work can explore its full potential in various biomedical imaging scenarios.