Document Detail


Automatic quantification of joint space narrowing and erosions in rheumatoid arthritis.
MedLine Citation:
PMID:  19116197     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Rheumatoid arthritis (RA) is a chronic disease that affects and potentially destroys the joints of the appendicular skeleton. The precise and reproducible quantification of the progression of joint space narrowing and the erosive bone destructions caused by RA is crucial during treatment and in imaging biomarkers in clinical trials. Current manual scoring methods exhibit high interreader variability, even after intensive training, and thus, impede the efficient monitoring of the disease. We propose a fully automatic quantitative assessment of the radiographic changes that result from RA, to increase the accuracy, reproducibility, and speed of image interpretation. Initial joint location estimates are obtained by local linear mappings based on texture features. Bone contours are delineated by active shape models comprised of statistical models of bone shape and local texture. These models are refined by snakes which increase the accuracy and allow for a fitting of pathological deviations from the training population. The method then measures joint space widths and detects erosions on the bone contour. Joint space widths are measured with a coefficient of variation of 2%-7% for repeated measurements and erosion detection exhibits an area under the receiver operating characteristic (ROC) curve of 0.89. Model landmarks serve as a reference system along the contour. These landmarks enable the definition of joint regions and more specific follow-up monitoring. The automatic quantification allows for a remote analysis, relevant for multicenter clinical trials, and reduces the workload of clinical experts since parts of the process can be managed by nonexpert personnel.
Authors:
Georg Langs; Philipp Peloschek; Horst Bischof; Franz Kainberger
Related Documents :
19457747 - Embedding overlap priors in variational left ventricle tracking.
21790097 - Integrate your revenue cycle.
21886457 - Development of angle-resolved low coherence interferometry for clinical detection of dy...
10814907 - Cooperation of fuzzy segmentation operators for correction aliasing phenomenon in 3d co...
21953647 - Drosophila as a model of wound healing and tissue regeneration in vertebrates.
24084397 - Social networks and smoking: exploring the effects of peer influence and smoker popular...
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  IEEE transactions on medical imaging     Volume:  28     ISSN:  1558-254X     ISO Abbreviation:  IEEE Trans Med Imaging     Publication Date:  2009 Jan 
Date Detail:
Created Date:  2008-12-31     Completed Date:  2009-03-18     Revised Date:  2012-04-24    
Medline Journal Info:
Nlm Unique ID:  8310780     Medline TA:  IEEE Trans Med Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  151-64     Citation Subset:  IM    
Affiliation:
Applied Mathematics and Systems Laboratory (MAS), Ecole Centrale de Paris, Grande Voie des Vignes, 92 295 Chatenay-Malabry, France. georg.langs@ecp.fr
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Arthritis, Rheumatoid / pathology*,  radiography*
Arthrography / methods
Artificial Intelligence
Bone and Bones / pathology,  radiography
Disease Progression
Hand / pathology
Humans
Joints / pathology*
Models, Anatomic
Pattern Recognition, Automated / methods*
Radiographic Image Interpretation, Computer-Assisted / methods*,  standards
Reference Standards
Sensitivity and Specificity
Subtraction Technique

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Nonrigid registration of joint histograms for intensity standardization in magnetic resonance imagin...
Next Document:  Study of image quality of superimposed projection using multiple projectors.