Abstract:
The use of digital medical imaging systems has greatly increased in healthcare institutions
and they are currently valuable tools supporting medical decision and treatment procedures.
NoSQL databases have been replacing relational databases in some scenarios, due to their
horizontal scalability and to their flexibility to adapt to dynamic requirements. This research
focus on DICOM images, as unstructured data as it is the standard used in healthcare
industries. The fitness of NoSQL Databases in view of addressing all the challenges revolving
around digital imaging is to be studied and analyzed. In this context, the performances of the
Relational Data Model and the NoSQL Databases in storing and retrieving Medical Images
are to be analyzed. We consider the many methods in handling digital images. For the
experiment here in this research we consider MySQL as a RDBMS and MongoDB and
Cassandra as NoSQL databases. We designed a set of experiments with a huge number of
various aspects for storing and retrieving of digital images for the comparing two databases
by the same data for RDBMS and NoSQL. The results show that NoSQL data model performs
better for storing and retrieval of medical images.
