Paper
25 May 1989 Automated Recognition Of Bone Structure In Osteoporotic Patients
Paul F. van der Stelt, Wil G. M. Geraets
Author Affiliations +
Abstract
An early diagnosis of osteoporosis is needed to develop an adequate strategy against this disease. The loss of bone in osteoporosis is, among other clinical signs, radiographically visible as thinning of the trabecular bone pattern. The trabeculae and the radiolucent areas in between are ill defined. Computer aided image processing and pattern recognition techniques can assist in diagnosing subtle alterations in the trabecular bone pattern. In previous studies the feasibility of a computer aided procedure for the quantification and description of the trabecular pattern in osteoporotic patients based on a set of 7 parameters was already shown. The study described in this paper gives an evaluation of some characteristics of these parameters used so far to describe the features of the trabecular pattern. The correlation between parameters found for images showing the trabecular pattern was compared with results for a series of randomly selected images. It was concluded that the parameters used to describe the radiographic trabecular bone pattern show a systematic correlation which is different from the other class of images. More research is still to be done before the underlying system in the relation between the parameters can be appreciated to its full extent.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paul F. van der Stelt and Wil G. M. Geraets "Automated Recognition Of Bone Structure In Osteoporotic Patients", Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); https://doi.org/10.1117/12.953278
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Cited by 1 scholarly publication.
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KEYWORDS
Bone

Image processing

Radiography

Image filtering

Medical imaging

Binary data

Image segmentation

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