Improved T-Snake Model Based Edge Detection of the Coronary Arterial Walls in Intravascular Ultrasound Images
Accurately detecting edges of the coronary arterial walls in intravascular ultrasound (IVUS) images plays an important role in quantitative assessments of the coronary artery diseases, though it may be a challenge to medical image analysis. This paper presented a method to extract the edges, main characteristics of which were summarized as: 1) The method was based on an improved topologically adaptable snake model (TSnake model). This proposed T-Snake model could successfully address the significant problem of conventional T-Snakes when dealing with the model self-intersection. 2) The method worked in conjunction with an adaptive homomorphic spatial/temporal filtering technique. This proposed filtering technique was capable of effectively reducing the strong blood speckle noise in IVUS images. The experimental results indicated the proposed method was accurate and robust in detecting edges of the coronary arterial walls in IVUS images, as well as reproducible for sequential IVUS frames.
intravascular ultrasound edge detection T-Snake mode
FENGRONG SUN ZE LIU YANLING LI PAUL BABYN GUIHUA YAO YUN ZHANG
School of Information Science and Engineering,Shandong University,Jinan,P.R.China Diagnostic Imaging,Hospital for Sick Children,Toronto,Canada Cardiology Department,Qilu Hospital,Jinan,P.R.China
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）