Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Computed Tomography

Computed Tomography

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...

Imaging Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

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...

Imaging Studies I: CT and MRI

Imaging Studies I: CT and MRI

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...

Electron Microscope Tomography and Single-particle Reconstruction

Electron Microscope Tomography and Single-particle Reconstruction

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...

You might also read

Related Articles

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

Sort by

Same author

Hyperprogressive disease of non-small-cell lung adenocarcinoma under immune-checkpoint inhibitors: A new response pattern to be recognized by the radiologist.

Diagnostic and interventional imaging·2019

Same author

Fission of Polyanionic Metal Clusters.

Physical review letters·2018

Same author

CT-texture analysis of subsolid nodules for differentiating invasive from in-situ and minimally invasive lung adenocarcinoma subtypes.

Diagnostic and interventional imaging·2018

Same author

The effect of additives on release and in vitro skin retention of flavonoids from emulsion and gel semisolid formulations.

International journal of cosmetic science·2017

Same author

Lung adenocarcinomas: correlation of computed tomography and pathology findings.

Diagnostic and interventional imaging·2016

Same author

[Prediction of the efficiency of endoscopic lung volume reduction by valves in severe emphysema].

Revue des maladies respiratoires·2016

Search research articles

Related Experiment Video

Updated: Jun 5, 2026

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

[Volumetric CT scanning: 2D and 3D reconstruction].

G-R Ferretti¹, A Jankowski

¹Pôle d'Imagerie, Clinique Universitaire de Radiologie et Imagerie Médicale, BP 217, CHU de Grenoble, 38043 Grenoble Cedex 9, France. gferretti@chu-grenoble.fr

Revue Des Maladies Respiratoires

|December 18, 2010

Summary

This review explores 2D and 3D reconstructions from high-resolution computed tomography (CT) scans for thoracic applications. It highlights new computer-assisted detection (CAD) methods and tools for quantifying lung lesions.

More Related Videos

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

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

Published on: June 21, 2011

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules

Published on: October 13, 2023

Related Experiment Videos

Last Updated: Jun 5, 2026

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

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

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

Published on: June 21, 2011

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules

Published on: October 13, 2023

Area of Science:

Radiology
Medical Imaging
Thoracic Imaging

Background:

High-resolution computed tomography (CT) provides detailed anatomical information.
Advanced visualization techniques are crucial for interpreting complex thoracic structures.
Accurate quantification of pulmonary lesions remains a clinical challenge.

Purpose of the Study:

To review 2D and 3D reconstructions from high-resolution volume CT.
To illustrate the thoracic applications of these reconstruction techniques.
To present novel computer-assisted detection (CAD) and quantification tools for pulmonary lesions.

Main Methods:

Review of high-resolution volume CT acquisitions.
Generation and analysis of 2D and 3D reconstructions.
Evaluation of computer-assisted detection (CAD) algorithms.
Assessment of lesion quantification tools.

Main Results:

Demonstration of diverse thoracic applications for 2D and 3D CT reconstructions.
Presentation of new computer-assisted detection (CAD) capabilities.
Introduction of tools for objective pulmonary lesion quantification.
Discussion of the clinical interest and limitations of these imaging techniques.

Conclusions:

2D and 3D reconstructions from high-resolution CT are valuable for thoracic imaging.
Computer-assisted detection (CAD) and quantification tools offer promising advancements.
These techniques enhance the analysis and management of pulmonary lesions.