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- W2117488466 abstract "Methods for extracting features of coronary arteries are important to assist accurate diagnosis, and the selection of regions for treatment. The authors proposed a variational model based method to detect closed boundary automatically from an intravascular ultrasound image. They then apply this method to detect lumen-intima boundary and intima-media boundary directly from a sequence of frames of a digitized intravascular ultrasound video, which was recorded in vivo at 30 frames/sec during a constant speed (0.5 mm/sec) drawback in a pig LAD artery. The authors utilize temporal and geometry continuity between the neighboring frames to speed up the boundary detection process from video frames. They then define a set of morphological parameters, such as vessel area, lumenal area, circularity, and intimal thickening, and calculate them from the sequence of the detected lumen-intima and intima-media boundaries. The authors separate these parameters into steady and transient part and use auto-correlation to extract heart beat frequency from the transient part of the vessel area function, this frequency matches very well with clinical record, the error being 1 percent." @default.
- W2117488466 created "2016-06-24" @default.
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- W2117488466 date "2002-11-27" @default.
- W2117488466 modified "2023-09-25" @default.
- W2117488466 title "Intravascular ultrasound video processing for blood vessel measurement" @default.
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- W2117488466 doi "https://doi.org/10.1109/cic.1998.731760" @default.
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