CORDIS - EU research results
CORDIS
Content archived on 2024-05-07

Raster data management in databases

Exploitable results

RasDaMan is a database management system that supports radiology consultations through the versatile retrieval of patients' data from large networked image archives. The RasDaMan Healthcare Application is built on top of the RasDaMan Database Management System produced by Forwiss. It is an application mainly addressed to radiologists to support them in the tasks of imaging interpretation and medical diagnosis, either involving doctors at one single site, or performing co-operative diagnosis with other specialists located at remote locations. The application has been designed with a user-friendly user interface which guides the user through intuitive menus and icons without the need of accompanying paper manuals. Doctors are able to query the images repository and visualize all available images satisfying a particular query, performing specific operations over a selected image such as zooming, panning, sub-areas selection, etc. The first group of possible RasDaMan applications involves patient diagnosis: retrieval and consultation of patient's images for reference prior to the current exploration, independently from the hospital where reference images are stored. This feature would be specially interesting for hospital (especially emergency and intensive care unit (ICU) departments. In primary care units it can be used for patient medical records' update. The image corresponding to the new exploration would be incorporated into the patient's record. It would not be necessary for a radiologist to be physically at the same place where the X-ray images are taken by a technician. Using RasDaMan, a radiologist would be able to supervise the work of several technician using point-to-point links. It should be possible for the radiologist to ask for the whole image or part of it. A second group of RasDaMan applications involve medical teaching. The third group of applications is medical research. Immediate benefit will be for radiologists to support their daily work in radiology diagnosis.
RasDaMan is a database management system (RasDaMan DBMS) that provides doctors with fast and efficient access to networked archives of radiological images. The raster RasDaMan DBMS supports storage and retrieval of raster data of any size, dimension and base type. The raster RasDaMan DBMS offers a conceptual model with a C/C++ API and a declarative data description language (DDL) and DML to define and manipulate arbitrary arrays across heterogeneous platforms (PC/UNIX), and a physical data organization supporting heterogeneous storage media; transparent compression decompression; specialised raster indexes; algebraic query optimization based on index evaluation; and access statistics. From the users' point of view, the two key features of RasDaMan DBMS are: high-level semantic modelling of raster data as arrays of any size and dimension over complex base types; flexible declarative query language, based on a powerful formal imaging model. The enabling raster server technology for these high-level services is: intelligent query optimization, based on schema information, access patterns; data independence: the application selects its preferred data format, this also includes transparent compression/decompression; leading-edge storage architecture; transparent integration of secondary and tertiary storage media; all classical DMBS services available: multi-user support, recovery, data independence, etc. As a complement to the DBMS, one interactive healthcare application, which makes use of the raster DBMS functionality, has been implemented.

Searching for OpenAIRE data...

There was an error trying to search data from OpenAIRE

No results available