NDLI: Detection of vertebral plateaus in lateral lumbar spinal X-ray images with Gabor filters

Content Provider	IEEE Xplore Digital Library
Author	Ribeiro, E.A. Nogueira-Barbosa, M.H. Rangayyan, R.M. Azevedo-Marques, P.M.
Copyright Year	2010
Description	Author affiliation: School of Medicine of Ribeirao Preto, University of Sao Paulo, Brazil 14048-900 (Ribeiro, E.A.; Nogueira-Barbosa, M.H.; Azevedo-Marques, P.M.) \|\| Department of Electrical and Computer Engineering. Schulich School of Engineering of Calgary, AB, Canada T2N 1N4 (Rangayyan, R.M.)
Abstract	A few recent studies have proposed computed-aided methods for the detection and analysis of vertebral bodies in radiographic images. This paper presents a method based on Gabor filters. Forty-one lateral lumbar spinal X-ray images from different patients were included in the study. For each image, a radiologist manually delineated the vertebral plateaus of L1, L2, L3, and L4 using a software tool for image display and mark-up. Each original image was filtered with a bank of 180 Gabor filters. The angle of the Gabor filter with the highest response at each pixel was used to derive a measure of the strength of orientation or alignment. In order to limit the spatial extent of the image data and the derived features in further analysis, a semi-automated procedure was applied to the original image. A neural network utilizing the logistic sigmoid function was trained with pixel intensity from the original image, the result of manual delineation of the plateaus, the Gabor magnitude response, and the alignment image. The average overlap between the results of detection by image processing and manual delineation of the plateaus of L1–L4 in the 41 images tested was 0.917. The results are expected to be useful in the analysis of vertebral deformities and fractures.
Starting Page	4052
Ending Page	4055
File Size	759493
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627625
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pixel X-ray imaging Osteoporosis Image edge detection Manuals Biomedical imaging Minerals
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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