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

Performance evaluation of iterative tomography algorithms for incomplete projection data.

Debasish Mishra1, Jon P Longtin, Raman P Singh

  • 1Department of Mechanical Engineering, State University of New York at Stony Brook, Stony Brook, New York 11794-2300, USA.

Applied Optics
|March 16, 2004
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 of risk factors for red blood cell alloimmunization and its incidence in hemoglobinopathy patients at a tertiary care center in Odisha, Eastern India.

Asian journal of transfusion science·2026
Same author

Adsorption and elution study detected misidentification of para-Bombay phenotype donor in an incompatible crossmatch with Bombay phenotype patient.

Asian journal of transfusion science·2026
Same author

An Unusual Suspect: The Interference of Anti-Thymocyte Globulin in Pre-Transfusion Testing.

Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion·2026
Same author

The silent threat: a true Bombay phenotype with unexpected tolerance to group O-positive incidental transfusion.

Laboratory medicine·2026
Same author

Medial Unicompartmental Knee Arthroplasty vs. High Tibial Osteotomy for Isolated Medial Knee Osteoarthritis: A Propensity-Matched Study of Clinical Outcomes.

Indian journal of orthopaedics·2026
Same author

Prevalence and diagnostic accuracy of syphilis screening in blood donors: A prospective observational study comparing three different serological platforms.

Vox sanguinis·2026
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
See all related articles

Reconstructing tomographic measurements from incomplete optical projection data is challenging. This study identifies the best algebraic iterative reconstruction algorithm for accurate results with limited data, crucial for refractive-index measurements.

Area of Science:

  • Optical Physics
  • Image Reconstruction
  • Fluid Dynamics

Background:

  • Tomographic measurements using optical techniques often yield incomplete projection data due to system limitations.
  • This incompleteness poses challenges for accurate image reconstruction.

Purpose of the Study:

  • To evaluate and identify the optimal algebraic iterative reconstruction algorithm for incomplete projection data.
  • To assess reconstruction performance under various incompleteness conditions.

Main Methods:

  • Simulated incomplete projection data from a known phantom and noise source were used.
  • Multiple iterative reconstruction algorithms based on additive and multiplicative corrections were tested.
  • Experimental data from coherent gradient sensing interferometry of a fluid temperature field were also utilized.

Related Experiment Videos

Main Results:

  • Performance assessment of different iterative algorithms under simulated incompleteness.
  • Identification of the best-performing algorithm for incomplete projection data.
  • Successful application of the chosen algorithm to experimental fluid temperature field data.

Conclusions:

  • Algebraic iterative reconstruction techniques are effective for incomplete tomographic data.
  • The study pinpoints a superior algorithm for improving reconstruction accuracy in optical metrology and fluid dynamics.