MIMS: a medical image management system

Said Badaoui; Florent Aubry

doi:10.1117/12.50801

1 December 1991 MIMS: a medical image management system

Said Badaoui, Florent Aubry

Proceedings Volume 1567, Applications of Digital Image Processing XIV; (1991) https://doi.org/10.1117/12.50801
Event: San Diego, '91, 1991, San Diego, CA, United States

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.

Citation Download Citation

Said Badaoui and Florent Aubry "MIMS: a medical image management system", Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); https://doi.org/10.1117/12.50801

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