AUTOMATIC JOINT DETECTION IN RHEUMATOID ARTHRITIS HAND RADIOGRAPHS

被引：0
|
作者：
Huo, Yinghe [1 ,2 ]
Vincken, Koen L. [1 ]
Viergever, Max A. [1 ]
Lafeber, Floris P. [2 ]
机构：
[1] Univ Med Ctr Utrecht, Image Sci Inst, Utrecht, Netherlands
[2] Univ Med Ctr Utrecht, Dept Rheumatol & Clin Immunol, Utrecht, Netherlands
来源：
2013 IEEE 10TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) | 2013年
关键词：
automatic joint detection; joint margin; hand bone segmentation; Rheumatoid Arthritis;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
引用
收藏
页码：125 / 128
页数：4
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