Title
Grid computing to make viable the content based medical image retrieval through the image registration techniques
Abstract
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.
Year
DOI
Venue
2007
10.1145/1352694.1352711
EATIS
Keywords
Field
DocType
grid computing,head image,higher efficiency,medical image,breast image,image registration technique,registration procedure use,higher computational,reliable cbir solution,retrieval similar image,registration algorithm,medical image retrieval,content-based image retrieval,image registration
Cross-correlation,Data mining,Computer vision,Grid computing,Computer science,Computer-aided diagnosis,Server,Image retrieval,Artificial intelligence,Content-based image retrieval,Grid,Image registration
Conference
Citations 
PageRank 
References 
1
0.37
8
Authors
4