Hamdi Mohamed Ali

Work place: National Institute of Applied Sciences and Technology Tunis, Tunisia

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Research Interests: Image Processing, Image Manipulation, Computer systems and computational processes

Biography

Mohamed Ali HAMDI received the Ph.D. degree in image processing, from the National University of engineering of TUNIS; He is Assistant Professor of Applied and Computational Mathematics and electronic, National institute of applied sciences and technology. His research interests are in the areas of digital signal processing (DSP), statistical estimation and their applications to signal and image processing and scientific computing

Author Articles
Intravascular Ultrasound Image Segmentation Using Morphological Snakes

By Mrabti Mohamed Amine Hamdi Mohamed Ali

DOI: https://doi.org/10.5815/ijigsp.2012.05.07, Pub. Date: 8 Jun. 2012

From the first use of the technics of intravascular ultrasound (IVUS) as an imaging technique for the coronary artery system at the 70th century until now , the segmentation of the arterial wall boundaries still an important problem . Much research has been done to give better segmentation result for better diagnostics , evaluation and therapy planning. In this paper we present a new segmentation technics based on Morphological Snakes which developed by Luis Álvarez used for the first time for IVUS segmentation. It is a simple , fast and stable approach of snakes evolution algorithm. Results are presented and discussed in order to demonstrate the effectiveness of this approach in IVUS segmentation.

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