Diagnosis of vertebral deformation and fracture is a key issue in the management of osteoporosis. Vertebral morphometry is the key solution to assess these vertebral deformities, but it is a tedious operation for the rheumatologist. In this paper, we propose an automatic approach to localize vertebrae and determine the vertebral morphometry. Based on a local phase symmetry measure, our approach shows promising results even on poor quality images. This work was tested on 22 scans of conventional lateral X-rays radiographs and compared to the results obtained by a trained radiologist. It resulted to have acceptable low error rates for localization and vertebral morphometry measures, but with a lack of robustness among images. Amelioration is necessary for images with an unoptimized patient positioning, when the X-ray beam is not perpendicular to the spine.

Automatic Vertebral Morphometry Assessment

Casciaro S;
2007

Abstract

Diagnosis of vertebral deformation and fracture is a key issue in the management of osteoporosis. Vertebral morphometry is the key solution to assess these vertebral deformities, but it is a tedious operation for the rheumatologist. In this paper, we propose an automatic approach to localize vertebrae and determine the vertebral morphometry. Based on a local phase symmetry measure, our approach shows promising results even on poor quality images. This work was tested on 22 scans of conventional lateral X-rays radiographs and compared to the results obtained by a trained radiologist. It resulted to have acceptable low error rates for localization and vertebral morphometry measures, but with a lack of robustness among images. Amelioration is necessary for images with an unoptimized patient positioning, when the X-ray beam is not perpendicular to the spine.
2007
Istituto di Fisiologia Clinica - IFC
1-4244-0788-5
automatic segmentation
vertebral fracture
morphometry
osteoporosis
X-ray images
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/72000
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