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Author Sergio Vera edit   pdf
  Title Finger joint modelling from hand X-ray images for assessing rheumatoid arthritis Type Report
  Year (down) 2010 Publication CVC Technical Report Abbreviated Journal  
  Volume 164 Issue Pages  
  Keywords Rheumatoid arthritis; joint detection; X-ray; Van der Heijde score  
  Abstract Rheumatoid arthritis is an autoimmune, systemic, inflammatory disorder that mainly af- fects bone joints. While there is no cure for this disease, continuous advances on palliative treatments require frequent verification of patient’s illness evolution. Such evolution is mea- sured through several available semi-quantitative methods that require evaluation of hand and foot X-ray images. Accurate assessment is a time consuming task that requires highly trained personnel. This hinders a generalized use in clinical practice for early diagnose and disease follow-up. In the context of the automatization of such evaluation methods we present a method for detection and characterization of finger joints in hand radiography images. Several measures for assessing the reduction of joint space width are proposed. We compare for the first time such measures to the Van der Heijde score, the gold standard method for rheumatoid arthritis assessment. The proposed method outperforms existing strategies with a detection rate above 95%. Our comparison to Van der Heijde index shows a promising correlation that encourages further research.  
  Corporate Author Thesis Master's thesis  
  Publisher Place of Publication Bellaterra 01893, Barcelona, Spain Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes IAM Approved no  
  Call Number IAM @ iam @ Ver2010 Serial 1661  
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