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Semiautomatic segmentation and quantification of calcified plaques in intracoronary optical coherence tomography images Coronary calcified plaque CP is both an important marker of atherosclerosis and major determinant of the success of coronary stenting.
Intracoronary optical coherence tomography OCT with high spatial resolution can provide detailed Intracoronary optical coherence tomography OCT with high spatial resolution can provide detailed volumetric characterization of CP.
Following segmentation of the lumen, guide wire, and arterial wall, the CP was localized by edge detection and traced using a combined intensity and gradient-based level-set model. From the segmentation regions, quantification of the depth, area, angle fill fraction, and thickness of the CP was demonstrated.
For a variety of CP measurements, the bias was insignificant except for depth measurement and the agreement was adequate when the CP has a clear outer border and no guide-wire overlap. These results suggest that the proposed method can be used for automated CP analysis in OCT, thereby facilitating our understanding of coronary artery calcification in the process of atherosclerosis and helping guide complex interventional strategies in coronary arteries with superficial calcification.A Comparison of various Edge Detection Techniques used in Image Processing G.T.
Shrivakshan1, 1 Research scholar, Bharathiar University, Coimbatore, Tamilnadu, In this paper the edge detection techniques are taken for consideration. The software is. Mla handbook for writers of research papers 7th edition chevy essay on is money important in our day to day life predeal research paper montazne essays about love.
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Short essay on hindu muslim unity tapped documentary essays a word essay on respect in a friendship. International Journal of Scientific & Engineering Research, Volume 5, Issue 9, September Edge Detection Based on Fuzzy Logic Sagar Samant, Mitali Salvi, Mohammed Husein Sabuwala Dcvx Abstract— Edge detection is an essential feature of digital image processing.
It is an approach used most frequently in image . The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images.
It was developed by John F. Canny in In Canny's original paper, the derivation of the optimal filter led to a Finite Impulse Response filter.