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 Concept Videos

Data Collection by Observations01:08

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...

You might also read

Related Articles

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

Sort by
Same author

Low-contrast lesion detection in neck CT: a multireader study comparing deep learning, iterative, and filtered back projection reconstructions using realistic phantoms.

European radiology experimental·2024
Same author

Deep learning reconstruction improves radiomics feature stability and discriminative power in abdominal CT imaging: a phantom study.

European radiology·2022
Same author

Comparison of low-contrast detectability between uniform and anatomically realistic phantoms-influences on CT image quality assessment.

European radiology·2021
Same author

Task-based assessment of neck CT protocols using patient-mimicking phantoms-effects of protocol parameters on dose and diagnostic performance.

European radiology·2020
Same author

Development of a method to create uniform phantoms for task-based assessment of CT image quality.

Journal of applied clinical medical physics·2020
Same author

Characterization of office laser printers for 3-D printing of soft tissue CT phantoms.

Journal of medical imaging (Bellingham, Wash.)·2019

Related Experiment Video

Updated: Jun 28, 2026

Methods to Test Visual Attention Online
09:44

Methods to Test Visual Attention Online

Published on: February 19, 2015

12.0K

Human Observer Net: A Platform Tool for Human Observer Studies of Image Data.

Ulrich Genske1, Paul Jahnke1

  • 1From the Department of Radiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany (U.G., P.J.); Data Analytics and Computational Statistics, Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany (U.G.); and Berlin Institute of Health, Berlin, Germany (P.J.).

Radiology
|March 8, 2022
PubMed
Summary

A new open-source software platform enhances medical imaging observer studies. This user-friendly tool offers flexible study designs, platform independence, and multicenter capabilities for efficient research.

More Related Videos

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.2K
A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

7.8K

Related Experiment Videos

Last Updated: Jun 28, 2026

Methods to Test Visual Attention Online
09:44

Methods to Test Visual Attention Online

Published on: February 19, 2015

12.0K
Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.2K
A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

7.8K

Area of Science:

  • Medical Imaging
  • Human Observer Studies
  • Software Development

Background:

  • Existing software for human observer studies in medical imaging lacks flexibility in study design, platform independence, multicenter use, and assessment methods.
  • Current applications are often not open-source, limiting accessibility and expandability for researchers.

Purpose of the Study:

  • To develop a user-friendly, open-source software platform for efficient human observer studies in medical imaging.
  • To provide flexibility in study design, platform independence, and multicenter capabilities.

Main Methods:

  • Developed an open-source web application for human observer imaging studies.
  • Implemented interfaces for study creation, participation, and results management.
  • Evaluated software usability with 14 radiologists using the System Usability Scale and tracked response times.

Main Results:

  • The software supports various analysis methods including visual grading analysis (VGA), multiple-alternative forced-choice (m-AFC), and receiver operating characteristic (ROC) analyses.
  • Mean reader response times ranged from 5.8 to 8.7 seconds per image/set across different study designs.
  • Achieved a high mean System Usability Scale score of 83 ± 11, indicating excellent usability.

Conclusions:

  • A user-friendly, efficient, open-source application for human reader experiments has been successfully developed.
  • The platform offers versatility in study design, platform independence, and multicenter usability for medical imaging research.