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Proceedings Paper

MIMS: a medical image management system
Author(s): Said Badaoui; Florent Aubry
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Paper Abstract

Objects to be handled in medical image processing include large value arrays (curves, images, ...) and tightly associated data (patient's identification, conditions of acquisition, ...). Their validation constraints and structure are complex because they are dependent on the source and processing. The number of objects may change as new generators (source or processing) emerge. These objects and the constraints are formally described (BADAOUI9O), according to the following concepts: the basic type (for atomic attributes), the constructed type (for the multi-attribute features), the class type (for the complex entities and constraints) leading to a non-normalized relational model. This model, implemented on top of an RDBMS (Relational Data Base Management System) by way of a dictionary (metadatabase), defines entirely the base by intention and monitors its evolution. A tool associated with this model sets up the bridge with the relational model.

Paper Details

Date Published: 1 December 1991
PDF: 1 pages
Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); doi: 10.1117/12.50801
Show Author Affiliations
Said Badaoui, ORACLE (France)
Florent Aubry, INSERM (France)

Published in SPIE Proceedings Vol. 1567:
Applications of Digital Image Processing XIV
Andrew G. Tescher, Editor(s)

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