Segmentation and visualization of left ventricle in MR Cardiac images = 자기공명심장영상의 좌심실 분할과 가시화

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This thesis developes a segmentation algorithm to extract endocardial and epicardial countours of left ventricle in MRI. The algorithm is based on the gradient-vector-flow (GVF) snake and the prediction of initial contour (PIC). Especially, the proposed algorithm uses physical characteristics of endocardial and epicardial contours, cross profile correlation matching (CPCM), and mixed interpolation model. In the experiment, we used short axis volumetric image sets, which were obtained by Siemens, Medinus, and GE MRI Systems. The experimental results show that the proposed algorithm can extract acceptable epicardial and endocardial walls. We calculate quantitative parameters using segmented results, and show these graphically. The segmented left ventricle is visualized volumetrically by surface rendering. The proposed algorithm is implemented on Windows environment using Visual C++.
Advisors
Park, Hyun-Wookresearcher박현욱researcher
Description
한국과학기술원 : 전기및전자공학전공,
Publisher
한국과학기술원
Issue Date
2002
Identifier
174101/325007 / 020003272
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 전기및전자공학전공, 2002, [ vii, 50 p. ]

Keywords

visualization; segmentation; MR Cardiac images; left ventricle; 좌심실; 가시화; 분할; 자기공명심장영상

URI
http://hdl.handle.net/10203/37571
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=174101&flag=dissertation
Appears in Collection
EE-Theses_Master(석사논문)
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