Title :
CBIR of Spine X-Ray Images on Inter-Vertebral Disc Space and Shape Profiles
Author :
Chang, Yuchou ; Antani, Sameer ; Lee, Dah-Jye ; Gledhill, Kent ; Long, L. Rodney ; Christensen, Paul
Author_Institution :
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Brigham, UT
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%.
Keywords :
X-ray imaging; bone; content-based retrieval; image retrieval; medical computing; visual databases; content-based image retrieval; disc space narrowing; disc space-based spine X-ray image retrieval; initial retrieval; intervertebral disc shape profile; radiologist; shape profiles; spine X-ray images; vertebral disc space; voting committee; Biomedical imaging; Clustering algorithms; Content based retrieval; Image retrieval; Libraries; Osteoarthritis; Shape; Spine; Voting; X-ray imaging; content-based image retrieval; spine X-ray; voting consensus;
Conference_Titel :
Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on
Conference_Location :
Jyvaskyla
Print_ISBN :
978-0-7695-3165-6
DOI :
10.1109/CBMS.2008.58