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Bio-medical Ontologies Maintenance and Change Management

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72 L. Stanescu, D. Dan Burdescu, <strong>and</strong> M. Brezovan<br />

conventional X-rays <strong>and</strong> digital luminescent radiography modalities. The X-ray<br />

films can be digitized with different tools [105].<br />

The storage of <strong>medical</strong> images in digital format makes an easy task their<br />

transferring from one device to another <strong>and</strong> enhances the achieving <strong>and</strong> manipulation<br />

process, in a useful <strong>and</strong> novel way.<br />

Medical image management plays now an important role in designing <strong>and</strong> implementing<br />

<strong>medical</strong> information systems. It is needed to introduce new methods<br />

for representation, manipulation <strong>and</strong> search for multimedia information. The development<br />

of picture archiving <strong>and</strong> communications systems (PACS) created a<br />

unified structure for management of acquisition, storing, communication <strong>and</strong> display<br />

of image data, but they don’t provide enough flexibility in sharing <strong>and</strong> utilization<br />

of information associated to image [105]. As a result, the solution to all<br />

these problems is the development of database management systems that enhance<br />

the management <strong>and</strong> complex querying of <strong>medical</strong> multimedia information. Using<br />

these systems there is the possibility to integrate different <strong>medical</strong> informatics<br />

systems that are geographically dispersed, lowering the costs <strong>and</strong> enhancing the<br />

<strong>medical</strong> act. Managing <strong>and</strong> querying these large collections of <strong>medical</strong> images <strong>and</strong><br />

alphanumerical information is a difficult task. The most efficient way for solving<br />

these problems is to have a multimedia database management system with the<br />

following characteristics [48, 61]:<br />

• Support for multimedia data types;<br />

• Possibility to manage a large number of multimedia objects;<br />

• Hierarchical storage management;<br />

• Conventional database capabilities;<br />

• Possibility to retrieve multimedia information considering attributes or characteristics<br />

extracted from multimedia information <strong>and</strong> finding multimedia objects<br />

that have these types of characteristics in common; this technique is called content-based<br />

retrieval<br />

Content-based visual retrieval can be implemented taking into consideration<br />

primitive visual characteristics (color, texture, shape), logical characteristics<br />

(object identity), or abstract characteristics (scene semantics). The easiest way<br />

for implementation is to use primitive characteristics as color, texture <strong>and</strong> shape<br />

[18, 23, 86].<br />

1.1 A General Model for Information Retrieval<br />

A general model for content-based retrieval is presented in figure 1.1 [60]. The<br />

information from the database is first pre-processed to extract specific<br />

characteristics <strong>and</strong> other semantic characteristics <strong>and</strong> then it is indexed based on<br />

these things. For information retrieval, the user’s query is processed <strong>and</strong> the main<br />

characteristics are extracted. These characteristics of the query are then compared<br />

with the characteristics of each record in the database. In the end, the user will see<br />

the information with the characteristics that are most closely to the query’s<br />

characteristics.

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