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QBISM: A prototype 3-D medical image data base system
Source: Data Engineering 1993 Mar;16(1):38-42.
Author: Arya M, Cody W, Faloutsos C, Richardson J, Toga AW.
Abstract:
We describe the design and implementation of QBISM (Query By Interactive, Spatial Multimedia), a system for managing and visualizing 3D medical images. Our thesis is that such a system should be built on top of an extensible DBMS, appropriately extended to handle spatial datatypes. Specifically, we identify the need to support vector fields and regions. The challenges are (a) to identify and implement the operations that are needed to support queries by medical researchers (b) to provide acceptable response times, despite the large volumes of some medical image data (2-100 Mb per image) (c) to couple the DBMS with a powerful visualization system. We list the requirements of the environment, discuss the logical and physical database design issues, and present timing results from our prototype. The major conclusions are that (a) using a DBMS, as opposed to a flat file system, offers an increased functinality (b) the response time is dominated by the volume of data retrieved and utilized for visualization; the early filtering by the DBMS results in important performance savings.
Source: Data Engineering 1993 Mar;16(1):38-42.
Author: Arya M, Cody W, Faloutsos C, Richardson J, Toga AW.
Abstract:
We describe the design and implementation of QBISM (Query By Interactive, Spatial Multimedia), a system for managing and visualizing 3D medical images. Our thesis is that such a system should be built on top of an extensible DBMS, appropriately extended to handle spatial datatypes. Specifically, we identify the need to support vector fields and regions. The challenges are (a) to identify and implement the operations that are needed to support queries by medical researchers (b) to provide acceptable response times, despite the large volumes of some medical image data (2-100 Mb per image) (c) to couple the DBMS with a powerful visualization system. We list the requirements of the environment, discuss the logical and physical database design issues, and present timing results from our prototype. The major conclusions are that (a) using a DBMS, as opposed to a flat file system, offers an increased functinality (b) the response time is dominated by the volume of data retrieved and utilized for visualization; the early filtering by the DBMS results in important performance savings.