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

Chu, Wesley W.; Ieong, Ion Tim; Taira, Ricky K.; Breant, Claudine M.

doi:10.1109/cbms.1992.244960

Cited by 11 publications

(15 citation statements)

References 11 publications

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“…Several parameters can be extracted from raw data and content-based queries can be available. Spatial and temporal relationships between stored objects or events can be calculated using models like TEDM [e.g., Dionisio et al, 1996;Chu et al, 1992]. Our system dissociates medical information (text fields for the subject identity) which are processed by classical relational tables and binary data (images and attributes) stored in an object manner.…”

Section: Picture Archiving Systems Versus Research Databasesmentioning

confidence: 99%

B-SPID: An object-relational database architecture to store, retrieve, and manipulate neuroimaging data

et al. 1999

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We propose a hardware and software architecture to respond to crucial problems in the neuroimaging field: storage, retrieval, and processing of large datasets. The B-SPID project, here discussed, concerns the processing of neuroimages and attached components stored in an object-relational multimedia database management system (DBMS). Advanced bioinformation concepts are exploited in this project such as large scale data storage, high level graphical user interfaces and 3D graphical processing and display of data. Our database implementation is based on standard programming components, runs on several UNIX platforms and is written to be evolutive. Queries on this database are designed to obtain and display from neuroimaging data several types of results (pictures, text, or 3D graphical shapes) on heterogeneous systems.

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Section: Picture Archiving Systems Versus Research Databasesmentioning

confidence: 99%

B-SPID: An object-relational database architecture to store, retrieve, and manipulate neuroimaging data

et al. 1999

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“…Method : is defined as an operation which can be applied to the objects of a particular object class. 4. Link : specifies a relationship among classes with relation constraints.…”

Section: Object-oriented Data Modelmentioning

confidence: 99%

“…Let FK be a foreign key, which consists of a single attribute, or a set of attributes. 4 This transformation can be done with the assumption that the relational schema is in BCNF (Boyce-Codd Normal Form). When the domains of two attributes are compared, domain constraints are assumed to be available, and are incorporated into the comparison.…”

Section: Schema Mapping From Existing Schemas To the Integrated Schemamentioning

confidence: 99%

<title>Paradigm for logical data integration of PACS and HIS</title>

Sull

Kabuka

1994

SPIE Proceedings

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Currently, most medical information is scattered across diverse independent information systems, such as Hospital Information System (HIS), Picture Archiving and Communication System (PACS), and other medical databases, with varying degree of interconnectivity and data integration. In this environment, our objective is to collate text data, mostly in HIS, with relevant image data, mostly in PACS, transparently from different local sources and have them as a logically integrated whole. Even though there has been much research on designing PACS DBs and discussing issues of data integration, very few have addressed the dynamic nature of data integration in the context of medical informatics. With various reasons including security, it is desirable for a user to be able to create an integrated view based on data semantics, given data range, and security classification. In addition, the integrity of the integrated view should be maintained even with the local schema changes. In order to accomplish these capabilities, generic tools which can perform semi-automated integration of information have to be developed. In this paper, we will discuss the technical background regarding data integration of different local PACS DBs and HIS. Also, based on the integrated view (or schema), several aspects of query processing are discussed.

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“…'~7 For the thermal ablation database, we extend the image stack construct introduced by Chock et al w and further developed by others. ~' 1"12, 18 The image stack construct is an aggregation of related images along a third dimension. The image stack data model maps very well to the volumetric nature of MR data and is therefore used to represent MR scans.…”

Section: Imagesmentioning

confidence: 99%

A multimedia database system for thermal ablation therapy of brain tumors

et al. 1997

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A prototype multimedia medical database is described for supporting thermal ablation therapy of brain tumors. Its design is motivated by the major need to manage and access multimedia information on the progress and reaction of tumors to various therapy protocols. The database links images to patient data in a way that permits the user to view and query medical information using alphanumeric, temporal, and feature-based predicates. Visualization programs permit the user to view or annotate the query results in various ways. ~[hese results support the wide variety of data types and presentation methods required by neuroradiologists to manage thermal ablation therapy data. The database satisfactorily meets the requirements defined by thermal ablation therapy. A similar approach is being undertaken for supporting different therapies of other tvPes of tumors, thus showing the generality of our approach. Copyright 9 1997 by W.B. Saunders Company

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

Cited by 11 publications

References 11 publications

B-SPID: An object-relational database architecture to store, retrieve, and manipulate neuroimaging data

B-SPID: An object-relational database architecture to store, retrieve, and manipulate neuroimaging data

<title>Paradigm for logical data integration of PACS and HIS</title>

A multimedia database system for thermal ablation therapy of brain tumors

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