RadioGraphics
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

This Article
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Macura, K. J.
Right arrow Articles by Morstad, B. D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Macura, K. J.
Right arrow Articles by Morstad, B. D.

RadioGraphics, Vol 15, 155-164, Copyright © 1995 by Radiological Society of North America

ARTICLES

Digital case library: a resource for teaching, learning, and diagnosis support in radiology

KJ Macura, RT Macura and BD Morstad
Department of Radiology, Medical College of Georgia, Augusta 30912-3950.

The authors compiled a digital case library, a database of cases for intracranial masses, that can be used as an electronic teaching file and image source for case-based teaching applications, electronic textbooks, and diagnosis support tools. The library is a relational database with a feature-coded image archive that is structured around relevant radiologic findings. Its index for coding image content is structured as a hierarchical image description index that uses the relational format. Rules that control the search direction within the library and that generate lists of diagnostic hypotheses for decision support tools are embedded within the database structure. Currently, the library consists of 200 cases and 1,100 images that present intracranial masses on radiographs, computed tomograms, magnetic resonance images, and angiograms. Each image in the library is indexed according to its radiologic content. The user may search for reference images that contain particular radiologic features by formulating image content-based queries. The hierarchical index of radiologic findings allows multilevel query formulation that depends on the user's level of experience.


This article has been cited by other articles:


Home page
 RadioGraphicsHome page
A. W. C. Kamauu, S. L. DuVall, R. J. Robison, A. P. Liimatta, R. H. Wiggins III, and D. E. Avrin
Informatics in Radiology (infoRAD): Vendor-Neutral Case Input into a Server-based Digital Teaching File System
RadioGraphics, November 1, 2006; 26(6): 1877 - 1885.
[Abstract] [Full Text] [PDF]

Home page
 Br. J. Radiol.Home page
A P Toms, B Kasmai, S Williams, and P Wilson
Building an anonymized catalogued radiology museum in PACS: a feasibility study
Br. J. Radiol., August 1, 2006; 79(944): 666 - 671.
[Abstract] [Full Text] [PDF]

Home page
 RadioGraphicsHome page
G. L. Yang, A. Aziz, B. Narayanaswami, A. Anand, C. C. T. Lim, and W. L. Nowinski
Informatics in Radiology (infoRAD): Multimedia Extension of Medical Imaging Resource Center Teaching Files
RadioGraphics, November 1, 2005; 25(6): 1699 - 1708.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
RADIOGRAPHICS RADIOLOGY RSNA JOURNALS ONLINE
Copyright © 1995 by the Radiological Society of North America.