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...

You might also read

Related Articles

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

Sort by

Same author

Resolution Guarantees in Electrical Impedance Tomography.

IEEE transactions on medical imaging·2015

Same author

Factorization method and its physical justification in frequency-difference electrical impedance tomography.

IEEE transactions on medical imaging·2010

Same journal

Correction to "Mathematical Modelling of COVID-19 Transmission in Kenya: A Model with Reinfection Transmission Mechanism".

Computational and mathematical methods in medicine·2025

Same journal

RETRACTION: Ligustrazine Inhibits Lung Phosphodiesterase Activity in a Rat Model of Allergic Asthma.

Computational and mathematical methods in medicine·2025

Same journal

RETRACTION: Delivery of miR-224-5p by Exosomes from Cancer-Associated Fibroblasts Potentiates Progression of Clear Cell Renal Cell Carcinoma.

Computational and mathematical methods in medicine·2025

Same journal

RETRACTION: Empirical Analysis of the Nursing Effect of Intelligent Medical Internet of Things in Postoperative Osteoarthritis.

Computational and mathematical methods in medicine·2025

Same journal

RETRACTION: Evaluation and Analysis of the Intervention Effect of Systematic Parent Training Based on Computational Intelligence on Child Autism.

Computational and mathematical methods in medicine·2024

Same journal

RETRACTION: Humanistic Spirit Training of Medical Students Based on Multisource Medical Data Fusion.

Computational and mathematical methods in medicine·2024

See all related articles

Search research articles

Related Experiment Video

Updated: May 7, 2026

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Published on: September 6, 2024

Recent progress on the factorization method for electrical impedance tomography.

Bastian Harrach¹

¹Department of Mathematics, University of Würzburg, 97074 Würzburg, Germany.

Computational and Mathematical Methods in Medicine

|September 27, 2013

Summary

This summary is machine-generated.

The Factorization Method offers a direct way to locate conductivity anomalies in electrical impedance tomography (EIT). This work simplifies its theory and presents an advanced formulation for continuous data and complex conductivities.

More Related Videos

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

Published on: May 20, 2022

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Published on: July 15, 2021

Related Experiment Videos

Last Updated: May 7, 2026

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Published on: September 6, 2024

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

Published on: May 20, 2022

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Published on: July 15, 2021

Area of Science:

Applied Mathematics
Electrical Engineering
Medical Imaging

Background:

The Factorization Method, initially for inverse scattering, was adapted for Electrical Impedance Tomography (EIT) by Brühl and Hanke.
Significant theoretical advancements have refined the Factorization Method for EIT since its inception.
Previous formulations often required strong assumptions and complex proofs.

Purpose of the Study:

To provide a comprehensive summary of the progress in the Factorization Method for EIT.
To present a current, state-of-the-art formulation of the Factorization Method tailored for continuous EIT data.
To extend the method's applicability to general piecewise analytic conductivities with simplified proofs.

Main Methods:

The study focuses on a noniterative approach to identify conductivity anomalies.
It builds upon the foundational work of Kirsch, Brühl, and Hanke in inverse problems and EIT.
The core methodology involves developing simplified, self-contained proofs for theoretical underpinnings.

Main Results:

The Factorization Method is presented as a robust, noniterative technique for EIT.
The formulation is adapted for continuous data, enhancing practical applicability.
The method is successfully formulated for piecewise analytic conductivities, broadening its scope.

Conclusions:

This work offers a unified and simplified theoretical framework for the Factorization Method in EIT.
The presented formulation represents a significant advancement for analyzing conductivity anomalies with continuous data.
The simplified proofs and extended applicability make the Factorization Method more accessible and powerful for EIT research.