Title :
Automatic Vertebral Morphometry Assessment
Author :
Casciaro, S. ; Massoptier, L.
Author_Institution :
Inst. of Clinical Physiol., Lecce
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.
Keywords :
bone; patient diagnosis; radiography; X-ray radiographs; automatic vertebral morphometry assessment; fracture diagnosis; osteoporosis; rheumatologist; vertebral deformation diagnosis; Biomedical engineering; Biomedical measurements; Bones; Diagnostic radiography; Image segmentation; Immune system; Osteoporosis; Shape; Spine; X-rays; X-ray images; automatic segmentation; morphometry; osteoporosis; vertebral fracture; Algorithms; Artificial Intelligence; Humans; Imaging, Three-Dimensional; Pattern Recognition, Automated; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Spine;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353609