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

An error study on some linear reconstruction algorithms for electrical impedance tomography.

Z Q Chen1, F J Paoloni

  • 1BHP Melbourne Research Laboratories, Victoria, Australia.

Clinical Physics and Physiological Measurement : an Official Journal of the Hospital Physicists' Association, Deutsche Gesellschaft Fur Medizinische Physik and the European Federation of Organisations for Medical Physics
|November 1, 1992
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

[Analysis on quality of life and influencing factors in pregnant and postpartum women hospitalized due to influenza in Suzhou].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2025
Same author

[Significance of respiratory event duration in evaluating nocturnal hypoxemia and disease severity in adults with obstructive sleep apnea].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2025
Same author

Seniority Structure in Neutron-Rich Nucleus ^{128}Ag: Evidence for Robustness of N=82 Shell Closure in Silver Isotopes.

Physical review letters·2025
Same author

[Current status of public health system in Guangdong-Hong Kong-Macao Greater Bay Area and improvement suggestion].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2023
Same author

[The value of DISCO and MUSE-DWI combined with prostate specific antigen density in the diagnosis and risk stratification of prostate cancer].

Zhonghua yi xue za zhi·2023
Same author

[Observation on the clinical outcomes of continued pregnancy following cesarean scar pregnancy in 55 women].

Zhonghua fu chan ke za zhi·2023

Error analysis reveals re-scaling error dominates Poisson-type linear reconstruction algorithms. Despite common assumption failures, relative impedance distribution reconstruction remains feasible, enhancing understanding of linear approaches.

Area of Science:

  • Electrical Engineering
  • Applied Mathematics
  • Computational Physics

Background:

  • Poisson-type linear reconstruction algorithms are crucial for various scientific imaging and modeling applications.
  • Understanding error sources is essential for improving the accuracy and reliability of these algorithms.
  • Previous studies have focused on specific error types, but a comprehensive analysis is needed.

Purpose of the Study:

  • To perform a detailed error analysis of Poisson-type linear reconstruction algorithms.
  • To identify the dominant error sources affecting the reconstruction accuracy.
  • To assess the feasibility of relative impedance distribution reconstruction despite common assumption failures.

Main Methods:

  • Theoretical error analysis of Poisson-type linear reconstruction algorithms.

Related Experiment Videos

  • Categorization and quantification of three distinct error types.
  • Investigation of the impact of the small perturbation assumption on Poisson's equation derivation.

    • Main Results:

    • Re-scaling error was identified as the dominant error source in most tested scenarios.
    • The commonly used small perturbation assumption frequently fails in practical applications.
    • Despite assumption failures, linear algorithms can still achieve feasible reconstruction of relative impedance distributions.

    Conclusions:

    • The dominance of re-scaling error provides key insights into the limitations and behavior of linear reconstruction methods.
    • The feasibility of reconstruction, even with assumption failures, highlights the robustness of these algorithms under specific conditions.
    • This error analysis deepens the fundamental understanding of linear reconstruction mechanisms, guiding future algorithm development.