A Parallel Method for Segmenting Intravascular Ultrasound Image Sequence
Intravascular Ultrasound (IVUS) is one of interventional imaging modalities widely used in clinical diagnosis of vascular diseases, especially coronary artery diseases. Segmentation of IVUS images to extract vessel wall boundaries is of importance for quantitative analysis and 3D vessel reconstruction. A 3D parallel method for segmenting IVUS image sequence is proposed in this paper. Firstly, original images are preprocessed to reduce possible noises and eliminate ring-down artifacts. Then, several longitudinal cuts are obtained and intima-lumen and media-adventitia boundaries are detected. Once these boundaries are mapped onto each cross-sectional slice, initial plan of vessel wall boundaries in each frame is obtained. Finally, these initial contours evolve continuously until stop at target contours. Consequently, segmentation of each IVUS tomographic frame is implemented simultaneously and the efficiency is greatly raised compared with 2D sequential approaches.
Intravascular Ultrasound (IVUS) segmentation three-dimension parallel processing
Sun Zheng Liu Cun
Department of electronic and communication engineering, North China Electric Power University, Baoding 071003, P.R.China
国际会议
合肥
英文
2051-2055
2011-09-23（万方平台首次上网日期，不代表论文的发表时间）