Jove
Visualize
Contact Us

Related Concept Videos

Computed Tomography01:10

Computed Tomography

7.7K
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...
7.7K
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.7K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
2.7K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

149
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...
149
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

612
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.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
612

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The use of artificial intelligence in computed tomography image reconstruction - A literature review.

Journal of medical imaging and radiation sciences·2020
Same author

An Overview of Correlational Research.

Radiologic technology·2019
Same author

Image Postprocessing in Digital Radiology-A Primer for Technologists.

Journal of medical imaging and radiation sciences·2019
Same author

Computed Tomography: Physical Principles and Recent Technical Advances.

Journal of medical imaging and radiation sciences·2019
Same author

The New Exposure Indicator for Digital Radiography.

Journal of medical imaging and radiation sciences·2019
Same author

Computed Tomography: A Technical Review.

Radiologic technology·2018
Same journal

An Intentional and Ethical Integration of AI in Medical Imaging.

Radiologic technology·2026
Same journal

Benefits of Integrating AI Into Computer-Aided Detection Systems.

Radiologic technology·2026
Same journal

Using Artificial Intelligence to Enhance Analysis of Chest Computed Tomography.

Radiologic technology·2026
Same journal

A Practice-Aligned Approach to Integrating AI in Radiation Sciences Education.

Radiologic technology·2026
Same journal

Site Visitors: The Unsung Heroes of the Accreditation Process.

Radiologic technology·2026
Same journal

Extended Reality Innovations in Medical Imaging Education.

Radiologic technology·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Nov 30, 2025

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT
08:57

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

Published on: June 21, 2011

19.1K

Computed Tomography Image Reconstruction.

Euclid Seeram

    Radiologic Technology
    |November 18, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Artificial intelligence (AI) offers faster computed tomography (CT) image reconstruction than iterative methods, producing comparable image quality. This technology is revolutionizing CT imaging by improving efficiency and maintaining diagnostic accuracy.

    More Related Videos

    Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages
    08:46

    Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

    Published on: April 13, 2016

    10.3K
    Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography
    14:56

    Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

    Published on: May 20, 2022

    4.0K

    Related Experiment Videos

    Last Updated: Nov 30, 2025

    High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT
    08:57

    High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

    Published on: June 21, 2011

    19.1K
    Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages
    08:46

    Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

    Published on: April 13, 2016

    10.3K
    Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography
    14:56

    Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

    Published on: May 20, 2022

    4.0K

    Area of Science:

    • Medical imaging
    • Computer science
    • Radiology

    Background:

    • Traditional filtered back projection in computed tomography (CT) yields noisy, artifact-prone low-dose images.
    • Iterative reconstruction improved image quality and allowed dose reduction but suffered from long processing times and unnatural noise texture.

    Purpose of the Study:

    • To outline current and emerging CT image reconstruction techniques.
    • To introduce a generalized framework for deep learning-based reconstruction.
    • To discuss the ethical considerations of AI in radiology.

    Main Methods:

    • Review of established CT image reconstruction algorithms.
    • Exploration of artificial intelligence (AI) and deep learning frameworks for image reconstruction.
    • Discussion of the advantages and limitations of different reconstruction approaches.

    Main Results:

    • AI-driven reconstruction algorithms demonstrate comparable image quality to iterative methods.
    • AI significantly reduces CT image reconstruction times.
    • AI offers a promising solution for high-quality, low-dose CT imaging.

    Conclusions:

    • AI represents a significant advancement in CT image reconstruction, offering speed and quality comparable to iterative methods.
    • Deep learning frameworks provide a generalized approach to AI-based CT image reconstruction.
    • Ethical implications of AI integration in radiology require careful consideration.