Bio-medical Ontologies Maintenance and Change Management

Multimedia Medical Databases 85
• View DICOM tag information.
• Anonymize DICOM files
• Display images with zoom and real-time Window Width/Level capabilities.
Copy the image and info into the Clipboard and paste them to other applications
• Full Cine Play Mode for 8 bit multi-frame image files. Save Cine runs as AVI
file
• View/Process selected images with an external viewer
A DICOM Viewer was implemented, too, at Craiova, Faculty of Automation,
Computers and Electronics, Software Engineering Department. The algorithms
presented above for extracting the alphanumeric and imagistic data from DICOM
files were developed and implemented using Java technologies in order to realize
the DICOM Viewer. Also, we proposed a structure of the database different from
the one existing in the DICOM standard. This structure has the advantage of
permitting a flexible text-based query of the database. It is used the table which
memorizes the entries from the data dictionary, specified by the DICOM standard.
This table is also used to extract the information from the DICOM files.
Fig. 2.6. The Entity-Relationship Model of the Database
Entity-relationship model for the proposed database appears in figure 2.6. The
database was implemented using MS SQL Server. The images that are extracted
from DICOM files can be processed using algorithms for extracting color and
texture characteristics and color regions detection. The results will be used for the
content-based visual retrieval process.
Our DICOM Viewer, which is part of the content-based visual retrieval system
on multimedia medical databases (MIR), has the following facilities: