DocumentCode :
617275
Title :
Automatic joint detection in rheumatoid arthritis hand radiographs
Author :
Yinghe Huo ; Vincken, Koen L. ; Viergever, Max A. ; Lafeber, Floris P.
Author_Institution :
Image Sci. Inst., Univ. Med. Center Utrecht, Utrecht, Netherlands
fYear :
2013
fDate :
7-11 April 2013
Firstpage :
125
Lastpage :
128
Abstract :
The measurement of joint space width (JSW) in hand x-ray images of patients suffering from Rheumatoid Arthritis (RA) is a time consuming task for radiologists. Manual assessment lacks accuracy and is observer-dependent, which hinders an accurate evaluation of joint degeneration in early diagnosis and follow-up studies. Automatic analysis of the JSW is crucial with regard to standardization, sensitivity, and reproducibility. In this paper, we focus on both joint location and joint margin detection. For the evaluation, five hand radiographs from RA patients, in which the joints have been manually delineated, are used. All finger joints are located correctly with margins differing 0.1 mm on average from the manual delineation.
Keywords :
bone; diagnostic radiography; diseases; edge detection; image segmentation; medical image processing; JSW automatic analysis; automatic joint detection; early diagnosis; hand X-ray images; image segmentation; joint degeneration accurate evaluation; joint location; joint margin detection; joint space width meaurement; manual delineation; reproducibility; rheumatoid arthritis hand radiograph; sensitivity; standardization; Biomedical imaging; Bones; Electronics packaging; Feature extraction; Image edge detection; Joints; Radiography; Rheumatoid Arthritis; automatic joint detection; hand bone segmentation; joint margin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Conference_Location :
San Francisco, CA
ISSN :
1945-7928
Print_ISBN :
978-1-4673-6456-0
Type :
conf
DOI :
10.1109/ISBI.2013.6556428
Filename :
6556428
Link To Document :
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