NDLI: Automatic segmentation of phalanges regions on CR images based on MSGVF Snakes

Content Provider	IEEE Xplore Digital Library
Author	Kajihara, S. Murakami, S. Hyoungseop Kim Joo Kooi Tan Ishikawa, S.
Copyright Year	2014
Description	Author affiliation: Kyushu Inst. of Technol., Kitakyushu, Japan (Kajihara, S.; Murakami, S.; Hyoungseop Kim; Joo Kooi Tan; Ishikawa, S.)
Abstract	Rheumatoid arthritis and osteoporosis are two common orthopedic diseases. Rheumatoid arthritis is a disease that inflammation occurs in the joint, which always causes the joints are able to move freely. Osteoporosis is a disease that bone mineral content is reduced and risk of fragility fracture increases. As one of the diagnostic methods, medical imaging by photographed CR equipment has been widely accepted. However, some problems such as mass screening data sets and mis-diagnosis are still remained in visual screening. In order to solve these problems and reduce the burden to physicians, needs of an automatic diagnosis system capable of performing quantitative analysis is anticipated. In this paper, we carry out the development of a segmentation method of phalanges regions from CR images of the hand to perform a quantitative evaluation of rheumatoid arthritis and osteoporosis. The proposed method is carried out crude segmentation of phalanges regions from CR images of the hand, and extracts the detailed phalanges regions by Multi Scale Gradient Vector Flow Snakes (MSGVF) method. In our study, we performed Snakes algorithm to give an initial control points on MSGVF algorithm. We applied our method on three pairs of CR temporal images of phalanges regions, which are called as the previous images and the current images. We got the segmentation results of 5.95 [%] of false-positive rate and 92.9 [%] of true-positive rate.
Starting Page	1290
Ending Page	1293
File Size	820560
Page Count	4
File Format	PDF
ISSN	20937121
e-ISBN	9788993215076
DOI	10.1109/ICCAS.2014.6987755
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-22
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Control, Robotics and Systems (ICROS)
Subject Keyword	Image segmentation Osteoporosis Image resolution Segmentation Rheumatoid Arthritis Fingers Computer Aided Diagnosis Manuals Multi Scale Gradient Vector Flow Snakes
Content Type	Text
Resource Type	Article

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