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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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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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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.
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Computed Tomography (CT) scan:
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SHCT: segmented helical computed tomography based on multiple slant source-translation.

Zhisheng Wang, Junning Cui, Yue Liu

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    |September 15, 2023
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    Summary
    This summary is machine-generated.

    This study introduces segmented helical computed tomography (SHCT) for high-resolution imaging of large objects. SHCT effectively extends the field of view, overcoming limitations of traditional helical CT for long object inspection.

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    Area of Science:

    • Medical Imaging
    • Computed Tomography
    • Image Reconstruction

    Background:

    • Micro-computed tomography (Micro-CT) is essential for high-resolution inspection of large objects.
    • Traditional helical CT has limitations in accommodating the entire object within the field of view (FOV).
    • There is a need for scanning methods that extend the FOV in both lateral and axial directions for large objects.

    Purpose of the Study:

    • To propose a novel scanning method, segmented helical computed tomography (SHCT), for extending the field of view in Micro-CT.
    • To enable high-resolution imaging of long and large objects.
    • To develop an efficient reconstruction algorithm for the proposed SHCT method.

    Main Methods:

    • Development of segmented helical computed tomography (SHCT) utilizing multiple slant source-translation (SST).
    • Adjusting SST length, pitch, and scanning circles to extend the helical FOV.
    • Implementation of a generalized backprojection-filtration (G-BPF) algorithm for approximate reconstruction of SHCT data.

    Main Results:

    • SHCT effectively extends the helical FOV for imaging large and long objects.
    • The proposed G-BPF algorithm ensures reconstruction efficiency and avoids lateral truncation artifacts.
    • Experimental results demonstrate the effectiveness of SHCT for high-quality volume reconstruction, especially with decreased pitch.

    Conclusions:

    • Segmented helical computed tomography (SHCT) is a viable method for extending the field of view in Micro-CT.
    • The proposed G-BPF algorithm provides efficient and accurate reconstruction for SHCT.
    • SHCT enables high-resolution imaging of large and long objects, with image quality improving at lower pitches.