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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.
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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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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Related Experiment Video

Updated: Nov 1, 2025

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
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Algorithm optimization of cross-interfaces computed tomography into full field.

Chen Ling, Haiyan Chen, Yu Gao

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    |June 18, 2021
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    Summary
    This summary is machine-generated.

    This study introduces full-field cross-interfaces computed tomography (FCICT), an advanced imaging algorithm for confined spaces. FCICT overcomes previous limitations, enabling accurate tomographic reconstruction across all view angles, crucial for analyzing complex environments.

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    Area of Science:

    • Optical Engineering
    • Computational Imaging
    • Fluid Dynamics

    Background:

    • Tomographic imaging in confined spaces faces challenges due to optical wall refractive distortion.
    • Previous cross-interfaces computed tomography (CICT) algorithms had limitations at small azimuth angles, causing signal loss.

    Purpose of the Study:

    • To develop an improved tomography approach, full-field cross-interfaces computed tomography (FCICT), to overcome CICT's view angle restrictions.
    • To enable comprehensive tomographic reconstruction in confined spaces by extending available view angles.

    Main Methods:

    • Developed FCICT utilizing 3D domain discretization with voxel parallelepipeds for improved ray-tracing.
    • Validated FCICT imaging process by comparing calibration plate projections.
    • Numerically validated FCICT reconstruction using a simulated double-cone flame phantom.

    Main Results:

    • FCICT successfully extends view angles to all perspectives, overcoming CICT's signal loss issues.
    • Numerical validation showed a high correlation coefficient (~98%) with the original flame phantom.
    • Experimental validation with an ethylene-air flame demonstrated high accuracy (mean correlation >95%) between re-projections and measured images.

    Conclusions:

    • FCICT is a robust and effective tomography approach for confined spaces, offering significant improvements over previous methods.
    • The novel voxel parallelepiped discretization enables accurate reconstruction across the full range of view angles.
    • FCICT provides reliable quantitative imaging of complex phenomena like premixed flames.