A snake-based method for segmentation of intravascular ultrasound images and its in vivo validation

Author:

Zhu Xinjian,Zhang Pengfei,Shao Jinhua,Cheng Yuanzhi,Zhang Yun,Bai Jing

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference31 articles.

1. Segmentation of intravascular ultrasound images: a machine learning approach mimicking human vision;Olszewski;Cars 2004: Computer Assisted Radiology and Surgery, Proceedings,2004

2. M. Sonka, X.M. Zhang, S.C. DeJong, S.M. Collins, C.R. McKay, Automated detection of coronary wall and plaque borders in ECG-gated intravascular ultrasound pullback sequences (abstract), in: 69th Scientific Sessions of the American Heart Association, Univ. Iowa, New Orleans, Louisiana, USA, 1996.

3. Segmentation of intravascular ultrasound images: a knowledge-based approach;Sonka;IEEE Transactions on Medical Imaging,1995

4. Multi-agent segmentation of IVUS images;Bovenkamp;Pattern Recognition,2004

5. Snakes – active contour models;Kass;International Journal of Computer Vision,1987

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