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CBIR of Spine X-ray Images on Inter-vertebral Disc Space and Shape Profiles

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Chang Y, Antani S, Lee DJ, Gledhill K, Long LR, Christensen P
Proc IEEE CBMS. Jyvaskyla, Finland. June 2008:224-9.
Abstract: 

There is very limited research published in the literature that applies content-based image retrieval (CBIR) techniques to retrieval of digitized spine X-ray images using a combination of inter-vertebral disc space and shape profiles. We present a novel technique to retrieve vertebra pairs that exhibit a specified disc space narrowing (DSN) and inter-vertebral disc shape profile. DSN is characterized using spatial and geometrical features between two adjacent vertebrae. Initial retrieval results are clustered and used to construct a voting committee to retrieve vertebra pairs with the highest DSN similarity. Experimental results show that the proposed algorithm is a promising approach for disc space-based spine X-ray image retrieval. The overall retrieval accuracy validated by a radiologist is 82.25%.

Chang Y, Antani S, Lee DJ, Gledhill K, Long LR, Christensen P. CBIR of Spine X-ray Images on Inter-vertebral Disc Space and Shape Profiles Proc IEEE CBMS. Jyvaskyla, Finland. June 2008:224-9.