Document Citation

Title:
CBIR of Spine X-ray Images On Inter-vertebral Disc Space and Shape Profiles Using Feature Ranking and Voting Consensus.

Author(s):
Lee DJ, Antani S, Chang Y, Gledhill K, Long LR, Christensen P.

Institution(s):
1) Department of Electrical and Computer Eng., Brigham Young University, Provo, UT, United States
2) National Library of Medicine, National Institutes of Health, Bethesda, MD, United States
3) Utah Valley Regional Medical Center, Provo, UT, United States

Source:
Data & Knowledge Engineering, Special Issue on "Knowledge Discovery in Medicine". 2009;Article in Press..

Abstract:
Very limited research is published in the literature that applies content-based image retrieval (CBIR) techniques to retrieval of digitized spine X-ray images that combines inter-vertebral disc space and vertebral shape profiles. This paper describes a novel technique for retrieving vertebra pairs that exhibit a specified disc space narrowing (DSN) and inter-vertebral disc shape. DSN is characterized using spatial and geometrical features between two adjacent vertebrae. In order to obtain the best retrieval result, all selected features are ranked and assigned a weight to indicate their importance in the computation of the final similarity measure. Using a two phase algorithm, initial retrieval results are clustered and used to construct a voting committee to retrieve vertebra pairs with the highest DSN similarity. The overall retrieval accuracy is validated by a radiologist and proves that selected features combined with voting consensus are effective for DSN-based spine X-ray image retrieval.

Publication Type: JOURNAL

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