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12 May 1995 Extraction of heart and vessel walls on ultrasound images using snake splines
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Abstract
A segmentation algorithm devoted to extracting heart and vessel walls on ultrasound image sequences was developed. This algorithm is based on a variety of active contours called Snake-Splines. It addresses the specific problems of ultrasonography (texture, dropouts) while using all the information available from temporal redundancy in a scheme of sequence processing for motion analysis. Active contours are 2D deformable models defined as energy- minimizing curves, including internal and external energy terms. The internal energy refers to smoothness constraints characteristics of the curve (controlled continuity splines), whereas the external one refers to forces computed from the gray-level image. A contour B-spline parametrization which intrinsically provides smoothness properties helps formulate the numerical problem with the only consideration of external forces governing the spline curve deformation. The algorithm is tested either on apical and parasternal transthoracic views, or transoesophageal or again intravascular ones, directly digitized at the video output or after recording on video-tapes. However, the methodology can be applied to all structures. The results show the necessity to deal with adaptive iterative process as well as problems associated with numerical stability, and the methodology is currently being extended to tracking structures through image sequences.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marie-Claire Taine and Alain Herment "Extraction of heart and vessel walls on ultrasound images using snake splines", Proc. SPIE 2434, Medical Imaging 1995: Image Processing, (12 May 1995); https://doi.org/10.1117/12.208755
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