A temporal evolutionary object-oriented data model for medical image management

The authors present a temporal evolutionary object-oriented data model (TEDM) for modeling medical images. The intelligent medical image management system (IMIS) lies on top of a picture archive and communication system (PACS) infrastructure. The IMIS can retrieve medical images (e.g. X-rays, comput...

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Bibliographic Details
Published in[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems pp. 84 - 91
Main Authors Chu, W.W., Ieong, I.T., Taira, R.K., Breant, C.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE Comput. Soc. Press 1992
Subjects
Artificial intelligence
Biomedical imaging
Brain modeling
Computed tomography
Data models
Image retrieval
Magnetic resonance
Object oriented modeling
Picture archiving and communication systems
X-ray imaging
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Summary:The authors present a temporal evolutionary object-oriented data model (TEDM) for modeling medical images. The intelligent medical image management system (IMIS) lies on top of a picture archive and communication system (PACS) infrastructure. The IMIS can retrieve medical images (e.g. X-rays, computed tomography scans, magnetic resonance scans, etc.) by image features and contents rather than by traditional artificial keys such as a patient hospital identification number. As a result, solutions to queries which associate the radiographic findings of an image, the disease pathology and the categorical patient subpopulation can be obtained. The proposed model and language constructs can also be applied to other domains that exemplify the evolutionary transformations of objects, such as modeling the growth of brain tumors.< >
ISBN:9780818627422
0818627425
DOI:10.1109/CBMS.1992.244960