Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Medical Image Retrieval and Registration: Towards Computer Assisted Diagnostic Approach
IDEAS-DH '04 Proceedings of the IDEAS Workshop on Medical Information Systems: The Digital Hospital
Towards applying content-based image retrieval in the clinical routine
Future Generation Computer Systems
Integrated Support for Medical Image Analysis Methods: From Development to Clinical Application
IEEE Transactions on Information Technology in Biomedicine
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The content-based image retrieval (CBIR) has great interest of the medical community, because it is capable of retrieval similar images stored in servers that have known pathologies. However, an efficient and reliable CBIR solution has not been achieved yet, due to the complexity of the medical image and the great volume they represent. This work proposes a new methodology based on higher processing provided by Grid Computing technology to achieve the CBIR using the registration algorithms. The registration procedure use two metrics, square difference metric (SDM) and cross correlation (CC). Both metrics showed higher efficiency, SDM obtained precision average of 0.83% (breast image) and 0.94% (head image), the CC showed precision of 0.81% (breast) and 0.52% (head). The higher computational cost related to the registration algorithms was amortized by Grid Computing, that was capable of ensure data secure and represent a low cost solution to small clinics and public hospitals. Grid technologies open new opportunities to investigate the contribution on applying the registration algorithms to CBIR and new advances are expected.