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

How many screens does a CT workstation need?

D V Beard1, B M Hemminger, K M Denelsbeck

  • 1Department of Radiology, University of North Carolina, Chapel Hill.

Journal of Digital Imaging
|May 1, 1994
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

The Impact of Colleague Peer Review on the Radiotherapy Treatment Planning Process in the Radical Treatment of Lung Cancer.

Clinical oncology (Royal College of Radiologists (Great Britain))·2015
Same author

Intrastriatal grafts of fetal ventral mesencephalic tissue restore quantitative and qualitative D1/D2 dopamine receptor synergism in the striatum.

Restorative neurology and neuroscience·2011
Same author

Effects of rapid antigen degradation and VEE glycoprotein specificity on immune responses induced by a VEE replicon vaccine.

Virology·2007
Same author

Academic science and the business of vaccines.

Archives of virology. Supplementum·2005
Same author

Flow cytometry-based assay for titrating dengue virus.

Journal of clinical microbiology·2005
Same author

Medical applications of diffraction enhanced imaging.

Breast disease·2005
Same journal

Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios.

Journal of digital imaging·2023
Same journal

Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks.

Journal of digital imaging·2023
Same journal

DMCA-GAN: Dual Multilevel Constrained Attention GAN for MRI-Based Hippocampus Segmentation.

Journal of digital imaging·2023
Same journal

Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms.

Journal of digital imaging·2023
Same journal

Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review.

Journal of digital imaging·2023
Same journal

External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer.

Journal of digital imaging·2023
See all related articles

Electronic workstations for computed tomographic (CT) image interpretation improve speed as display area increases and display time decreases. This finding aids designers and purchasers in evaluating workstation performance.

Area of Science:

  • Medical Imaging
  • Radiology Informatics

Background:

  • Numerous workstations for electronic display of computed tomographic (CT) images have been developed.
  • These systems vary significantly in monitor configuration and image display times.

Purpose of the Study:

  • To address the lack of consensus on display area and response time requirements for CT interpretation workstations.
  • To develop and validate a time-motion model for CT interpretation.

Main Methods:

  • Construction of a time-motion model for CT interpretation.
  • Experimental verification of the model using three workstations and a film alternator.

Main Results:

  • CT interpretation speed generally increases with larger display areas.

Related Experiment Videos

  • Faster image display times correlate with quicker interpretation.
  • Model accuracy was experimentally validated.
  • Conclusions:

    • Workstation design significantly impacts CT interpretation efficiency.
    • Findings provide a basis for estimating performance differences between CT workstation designs.
    • Guidance for workstation designers and purchasers on optimizing display parameters.