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

Casimage project: a digital teaching files authoring environment.

Antoine Rosset1, Henning Muller, Martina Martins

  • 1UCLA Radiological Sciences Department, Los Angeles, California 90095-1721, USA.

Journal of Thoracic Imaging
|April 9, 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

Multi-class segmentation of aortic branches and zones in computed tomography angiography: The AortaSeg24 challenge.

Medical image analysis·2026
Same author

A comparative study of deep learning for cortical lesion MRI segmentation with explainability analysis in multiple sclerosis.

NeuroImage. Clinical·2026
Same author

Optimization-enhanced Gaussian mixture modeling for data-driven subphenotyping of septic shock.

Computer methods in biomechanics and biomedical engineering·2026
Same author

Influence of Region-Of-Interest Definition and Image Source on Test-Retest Repeatability of Myocardial T1 and T2 Assessment in Healthy Volunteers.

Academic radiology·2026
Same author

Multi-structure segmentation in CBCT volumes: The ToothFairy2 challenge.

Medical image analysis·2026
Same author

RoBuster-Corpus Annotated With Risk of Bias Text Spans in Randomized Controlled Trials in Physiotherapy and Rehabilitation: Corpus Development and Annotation Study.

JMIR formative research·2026

Casimage provides an integrated authoring environment for creating electronic teaching files from Picture Archiving and Communication Systems (PACS) data. This system enables radiologists to build digital image databases for education and research, facilitating easy sharing of medical imaging collections.

Area of Science:

  • Medical Informatics
  • Radiology Education
  • Digital Imaging

Background:

  • Developing effective electronic teaching files is crucial for radiology education.
  • Integrating teaching file creation into daily clinical workflows streamlines content generation.
  • Existing systems may lack seamless integration with Picture Archiving and Communication Systems (PACS).

Purpose of the Study:

  • To present the Casimage project, an authoring and editing environment for creating image-based electronic teaching files.
  • To enable radiologists to build reference databases and digital image collections from clinical cases.
  • To facilitate the sharing of teaching files through various media and online networks.

Main Methods:

  • Development of a client/server architecture for remote access to a central database.

Related Experiment Videos

  • Integration with PACS diagnostic workstations for direct case access.
  • Inclusion of tools for textual description, image manipulation, and annotation.
  • Implementation of a web server compatible with the Medical Imaging Resource Center (MIRC) standard.
  • Main Results:

    • Casimage allows radiologists to create comprehensive teaching files directly from clinical cases.
    • The system supports the generation of stand-alone CD-ROMs and web-based teaching files.
    • Created image collections, including thoracic imaging, were made available via CD-ROM, website, and the MIRC network.
    • The software can be installed on any PACS workstation for continuous case addition.

    Conclusions:

    • Casimage offers a robust solution for creating and disseminating image-based teaching files.
    • The integration with PACS and MIRC standards enhances accessibility and shareability of educational content.
    • This environment supports continuous learning and research by leveraging real clinical cases.