Literature DB >> 18003275

Automatic vertebral morphometry assessment.

Sergio Casciaro1, Laurent Massoptier.   

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.

Entities:  

Mesh:

Year:  2007        PMID: 18003275     DOI: 10.1109/IEMBS.2007.4353609

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

Review 1.  Vertebra identification using template matching modelmp and K-means clustering.

Authors:  Mohamed Amine Larhmam; Mohammed Benjelloun; Saïd Mahmoudi
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-07-24       Impact factor: 2.924

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.