Jove
Visualize
Contact Us
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 Concept Videos

Computed Tomography01:10

Computed Tomography

4.7K
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...
4.7K

You might also read

Related Articles

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

Sort by
Same author

Flexible Electrodes as a Measuring System of Electrical Impedance Imaging.

Materials (Basel, Switzerland)·2023
Same author

The purine-rich element-binding protein ChPur-α negatively regulates Hsc70 transcription in Crassostrea hongkongensis.

Cell stress & chaperones·2017
Same author

Improved antitumor effect of ionizing radiation in combination with rapamycin for treating nasopharyngeal carcinoma.

Oncology letters·2017
Same author

Roles of Cells from the Arterial Vessel Wall in Atherosclerosis.

Mediators of inflammation·2017
Same author

Metabolic and microbial signatures in rat hepatocellular carcinoma treated with caffeic acid and chlorogenic acid.

Scientific reports·2017
Same author

Arsenic removal in aqueous solution by a novel Fe-Mn modified biochar composite: Characterization and mechanism.

Ecotoxicology and environmental safety·2017

Related Experiment Video

Updated: Aug 8, 2025

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy
12:26

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy

Published on: January 29, 2022

5.8K

Regularization Solver Guided FISTA for Electrical Impedance Tomography.

Qian Wang1, Xiaoyan Chen1, Di Wang1

  • 1School of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300457, China.

Sensors (Basel, Switzerland)
|February 28, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces the Regularization Solver Guided Fast Iterative Shrinkage Threshold Algorithm (RS-FISTA) for electrical impedance tomography (EIT) reconstruction. RS-FISTA improves image quality and achieves faster convergence compared to existing methods.

Keywords:
EITFISTARS-FISTAimage reconstructioninverse problem

More Related Videos

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
03:58

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

497
Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

9.0K

Related Experiment Videos

Last Updated: Aug 8, 2025

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy
12:26

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy

Published on: January 29, 2022

5.8K
Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
03:58

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

497
Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

9.0K

Area of Science:

  • Medical Imaging
  • Computational Electromagnetics
  • Applied Mathematics

Background:

  • Electrical impedance tomography (EIT) reconstructs conductivity distributions but faces challenges with nonlinear, ill-posed inverse problems.
  • Existing iterative EIT methods suffer from subjective initializations, slow convergence, and blurred image details.

Purpose of the Study:

  • To develop a novel, fast-convergent iterative method for EIT inverse problems.
  • To enhance EIT reconstruction accuracy and spatial resolution.

Main Methods:

  • Proposed the Regularization Solver Guided Fast Iterative Shrinkage Threshold Algorithm (RS-FISTA).
  • Incorporated an adaptive regularization parameter adjustment for initial guess generation.
  • Utilized L1-norm regularization and Nesterov acceleration for gradient optimization.

Main Results:

  • RS-FISTA demonstrated superior performance over Landweber, CG, NOSER, Newton-Raphson, ISTA, and FISTA methods.
  • Achieved high image quality metrics: SSIM of 0.7253, RMSE of 3.44, and PSNR of 37.55.
  • Exhibited stable convergence within 30 iterations, indicating efficiency.

Conclusions:

  • RS-FISTA offers improved visualization and rapid convergence for EIT reconstruction.
  • The method is validated as superior for both simulated and experimental EIT data.