DocumentCode
1194981
Title
Automated image analysis for bone density measurements using computed tomography
Author
Ma, Xue-Qi ; Overton, T.R.
Author_Institution
Dept. of Appl. Sci. in Med., Alberta Univ., Edmonton, Alta., Canada
Volume
10
Issue
4
fYear
1991
fDate
12/1/1991 12:00:00 AM
Firstpage
611
Lastpage
615
Abstract
Quantitative trabecular bone density (TBD) measurements in the appendicular skeleton, using computer tomography, are described. Pixel-value frequency histograms are generated, to determine the spatial coordinates of the centers of mass distribution for both bones in the image field. A line joining these centers is used as an axis for subsequent enhancement of horizontal image features, and for radial fan searches, to separate bone images in the analysis field. One bone image is then deleted and the outer contour of the remaining bone is determined using cross-correlation and mathematical morphology operators. This contour is then used as a template to calculate average linear attenuation coefficients (LACs) over 1-pixel-wide annuli for TBD calculation. Data from 33 individual subjects (1251 images) have been processed using both automatic and manual analysis methods. Both methods give the same numerical values for TBD, but the automatic method has slightly better precision. The analysis method is general and is adaptable to other imaging situations
Keywords
biomedical measurement; bone; computerised picture processing; computerised tomography; density measurement; medical diagnostic computing; 1-pixel-wide annuli; analysis method; appendicular skeleton; automated image analysis; automatic method; bone density measurements; cross-correlation; horizontal image features; mass distribution center; mathematical morphology operators; medical diagnostic imaging; pixel-value frequency histograms; radial fan searches; spatial coordinates; template; trabecular bone; Attenuation; Cancellous bone; Density measurement; Frequency; Histograms; Image analysis; Morphology; Pixel; Skeleton; Tomography;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/42.108596
Filename
108596
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