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Proceedings Paper

Region growing segmentation of ultrasound images using gradients and local statistics
Author(s): Isabela M. Mercado-Aguirre; Alberto Patiño-Vanegas; Sonia H. Contreras-Ortiz
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Paper Abstract

This paper describes a region growing segmentation algorithm for medical ultrasound images. The algorithm starts with anisotropic diffusion filtering to reduce speckle noise without blurring the edges. Then, region growing is performed starting from a seed point, using a merging criterion that compares intensity gradients to the noise level inside the region. Finally, the boundaries are smoothed using morphological closing. The algorithm was evaluated with two simulated images and eleven phantom images and converged in 10 of them with accurate region delimitation. Preliminary results show that the proposed method can be used for ultrasound image segmentation and does not require previous knowledge of the anatomy of the structures.

Paper Details

Date Published: 13 March 2017
PDF: 6 pages
Proc. SPIE 10139, Medical Imaging 2017: Ultrasonic Imaging and Tomography, 101391E (13 March 2017); doi: 10.1117/12.2254518
Show Author Affiliations
Isabela M. Mercado-Aguirre, Univ. Tecnológica de Bolívar (Colombia)
Alberto Patiño-Vanegas, Univ. Tecnologica de Bolivar (Colombia)
Sonia H. Contreras-Ortiz, Univ. Tecnológica de Bolívar (Colombia)

Published in SPIE Proceedings Vol. 10139:
Medical Imaging 2017: Ultrasonic Imaging and Tomography
Neb Duric; Brecht Heyde, Editor(s)

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