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논문 기본 정보

자료유형
학술대회자료
저자정보
Koji SHIGEYOSHI (Kyushu Institute of Technology) Seiichi MURAKAMI (Kyushu Institute of Technology) Hyoungseop KIM (Kyushu Institute of Technology) Joo Kooi TAN (Kyushu Institute of Technology) Seiji ISHIKAWA (Kyushu Institute of Technology)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2015
발행연도
2015.10
수록면
1,547 - 1,550 (4page)

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초록· 키워드

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In recent years, medical imaging is important in medical diagnosis for early detection of lesions. However, a large number of images increases the stress to the radiologist. Therefore, CAD (Computer Aided Diagnosis) system is expected to reduce such burden.
In diagnostic imaging of phalanges, X-ray photographs, CT (Computed Tomography) are used to evaluate the value of phalanges destruction. Whereby, the MRI (Magnetic Resonance Imaging) that is used mainly to diagnose the lesion in the soft tissue is more effective in a certain case, which is one of the important CAD systems to develop. However, studies on CAD system using MR images are not as much as the studies using CT.
In this paper, we propose an automatic segmentation algorithm of phalanges regions on MR images. Although it has three dimensional information, this is the method for two dimensional algorithm. In other words, we propose for each slice of MR Images. Firstly, phalanges regions in MR images are segmented for coarse regions mainly by watershed algorithm. Next, the segmented results from the previous phase are set as the initial contour. Ultimately, the accurate segmentation of the phalanges on MR images are acquired based on MSGVF snakes.

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Abstract
1. INTRODUCTION
2. METHODS
3. EXPERIMENTAL RESULTS
4. DISCUSSION AND CONCLUSION
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UCI(KEPA) : I410-ECN-0101-2016-569-001919472