Title: Extraction of fine blood vessels from an ultrasound image by adaptive local image processing

Authors: Masayasu Ito, Yuzuru Saito

Addresses: Graduate School of Sciences and Engineering, Tokyo Denki University, Hatoyama-machi, Saitama 350-0394, Japan. ' Department of Sciences and Engineering, Tokyo Denki University, Hatoyama-machi, Saitama 350-0394, Japan

Abstract: This paper discusses some useful image processing techniques for an ultrasound image using adaptive morphological operations. They are defined in such a way that the used structuring element is a function of local image to respond its characteristics. The defined mathematical morphology has almost the same mathematical structure and properties as the conventional one. Besides, the former has an advantageous image processing to others. For example, the simultaneous smoothing and enhancement can be implemented. We applied this technique to ultrasound images to extract blood vessels and showed its useful function. We discussed parameter evaluation and setting from a statistical point of view. Experimental results are also demonstrated.

Keywords: adaptive image processing; morphological operations; image segmentation; region extraction; ultrasound imaging; fine blood vessels.

DOI: 10.1504/IJMIC.2008.021473

International Journal of Modelling, Identification and Control, 2008 Vol.4 No.4, pp.331 - 336

Published online: 28 Nov 2008 *

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