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

Ideal versus human observer for long-tailed point spread functions: does deconvolution help?

J P Rolland1, H H Barrett, G W Seeley

  • 1University of Arizona, Optical Sciences Center, Tucson 85721.

Physics in Medicine and Biology
|August 1, 1991
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

Cross-Cultural Measurement Invariance in the Personality Inventory for DSM-5<sup>✰</sup>.

Psychiatry research·2021
Same author

Design and alignment of an all-spherical unobscured four-mirror image relay for an ultra-broadband sub-petawatt laser.

Applied optics·2019
Same author

Towards continuous-to-continuous 3D imaging in the real world.

Physics in medicine and biology·2019
Same author

Real-time Data Acquisition and Maximum-Likelihood Estimation for Gamma Cameras.

IEEE NPSS Real Time Conference : conference record. Conference on Real-Time Computer Applications in Nuclear, Particle, and Plasma Physics·2016
Same author

Compact low-cost detection electronics for optical coherence imaging.

Optical engineering (Redondo Beach, Calif.)·2015
Same author

ADAPTIVE SMALL-ANIMAL SPECT/CT.

IEEE Nuclear Science Symposium conference record. Nuclear Science Symposium·2015
Same journal

Effective contrast-enhanced preprocessing for intracranial artery segmentation in digital subtraction angiography.

Physics in medicine and biology·2026
Same journal

Improving Plan Quality in Adaptive Proton Therapy Using an Interactive Dose Modification Tool.

Physics in medicine and biology·2026
Same journal

Technical Note: Real-Time MLC Control and Latency Measurement Optimization with External Verification.

Physics in medicine and biology·2026
Same journal

Fetus-Specific Hematopoietic Stem Cell Dosimetry Framework for Leukemia-Relevant Target Cells During Prenatal Development.

Physics in medicine and biology·2026
Same journal

Deep learning-based dose prediction to enhance planning efficiency in cervical brachytherapy with hybrid applicators.

Physics in medicine and biology·2026
Same journal

Corrigendum: Referenceless MR thermometry-a comparison of five methods (2017<i>Phys. Med. Biol</i>.<b>62</b>1-16).

Physics in medicine and biology·2026
See all related articles

The ideal observer model fails to predict human performance in radiological imaging tasks with long-tailed point spread functions (PSFs). Deconvolution improves human detection, suggesting limitations in the ideal observer for characterizing certain imaging systems.

Area of Science:

  • Medical Imaging
  • Radiology
  • Human Factors Engineering

Background:

  • The ideal observer, a Bayesian model, is used to assess radiological imaging system performance.
  • Detectability by the ideal observer is a common figure of merit for imaging systems.
  • Human observer performance is the ultimate goal for evaluating medical imaging devices.

Purpose of the Study:

  • To investigate the impact of long-tailed point spread functions (PSFs) on human visual signal detection.
  • To determine if deconvolution of long-tailed PSFs improves human observer performance.
  • To assess the validity of the ideal observer as a predictor of human performance in the presence of long-tailed PSFs.

Main Methods:

  • Conducted psychophysical studies to evaluate human observer performance.

Related Experiment Videos

  • Investigated the effect of deconvolution on signal detection through long-tailed PSFs.
  • Compared human observer performance with ideal observer predictions.

    • Main Results:

    • Human observer performance in signal detection tasks was significantly improved by deconvolving long-tailed PSFs.
    • The ideal observer's performance remained unchanged after deconvolution, independent of the filter.
    • The ideal observer model did not accurately predict the observed improvements in human performance.

    Conclusions:

    • The ideal observer is not a reliable predictor of human performance for imaging systems with long-tailed PSFs.
    • Deconvolution can enhance human visual signal detection in the presence of long-tailed PSFs.
    • Further research is needed to develop observer models that account for human visual characteristics in complex imaging scenarios.