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 Experiment Videos

[Simple self-correlative algebraic reconstruction technique].

Yi-zhong Song1, Guo-ying Hu, An-zhi He

  • 1Department of Information Physics and Engineering, Science Institute, Nanjing University of Science and Technology, Nanjing 210094, China.

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|March 17, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

RNA m6A reader YTHDF1 facilitates inflammation via enhancing NLRP3 translation.

Biochemical and biophysical research communications·2022
Same author

Multi-directional 3D flame chemiluminescence tomography based on lens imaging.

Optics letters·2015
Same author

[Analyzing moiré pattern spectra based on the mutual transform between signals' waveform in time domain and their spectra in frequency space].

Guang pu xue yu guang pu fen xi = Guang pu·2014
Same author

Theoretical analysis and experimental verification of six-step spatial phase-shifting shearing interferometry by double gratings.

Journal of the Optical Society of America. A, Optics, image science, and vision·2013
Same author

Two-step spatial phase-shifting radial shearing interferometery with circular gratings.

Optics letters·2013
Same author

Volume moiré tomography based on double cross gratings for real three-dimensional flow field diagnosis.

Applied optics·2012
Same journal

The Laser Rangefinder System in Quadrature Modem and Ambiguity Resolution.

Guang pu xue yu guang pu fen xi = Guang pu·2018
Same journal

Improving the Accuracy of Camera-Based Heart Rate Measurement.

Guang pu xue yu guang pu fen xi = Guang pu·2018
Same journal

Determination of Pb, Cr, Cd, and As in Aluminum-Plastic Packaging Materials via Inductively Coupled Plasma-Mass Spectrometry with Microwave Digestion.

Guang pu xue yu guang pu fen xi = Guang pu·2018
Same journal

Study on Molecular Recognition of Cucurbit[6]uril with Oxytetracycline Molecules by Spectroscopic Methods.

Guang pu xue yu guang pu fen xi = Guang pu·2018
Same journal

Preparation and Properties of Novel Polymer Blue Fluorescent Materials.

Guang pu xue yu guang pu fen xi = Guang pu·2018
Same journal

Effect of the Nitrogen Incorporation on the Microstructure and Photoelectric Properties of N Type Nanocrystalline Silicon Thin Films.

Guang pu xue yu guang pu fen xi = Guang pu·2018
See all related articles

A new method, simple self-correlative algebraic reconstruction technique (SSCART), significantly improves image reconstruction accuracy. SSCART reduces mean-square error by 65% and peak error by 99.9% compared to traditional ART.

Area of Science:

  • Medical Imaging
  • Computational Science

Context:

  • Algebraic Reconstruction Technique (ART) is a fundamental algorithm for image reconstruction.
  • Existing ART methods face limitations in achieving high reconstructive accuracy.

Purpose:

  • To introduce and evaluate a novel improvement to ART, termed Simple Self-Correlative Algebraic Reconstruction Technique (SSCART).
  • To quantitatively assess the reconstructive accuracy of SSCART against ART using numerical simulations and error metrics.

Summary:

  • SSCART demonstrated markedly improved accuracy over ART.
  • Mean-square error (MSE) decreased by 65% and peak error (PE) by 99.9% with SSCART.
  • The SSCART algorithm incorporates a simple modification to the ART iterating program, enhancing its performance.

Related Experiment Videos

Impact:

  • SSCART offers a superior reconstruction technique with a simple iterating program, persistent convergence, and high accuracy.
  • This advancement positions SSCART as a leading iterating reconstruction technique within the current ART landscape.