| Paper: | BIO-P3.5 | ||
| Session: | Biomedical Imaging | ||
| Time: | Thursday, May 18, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Bio Imaging and Signal Processing: Ultrasound imaging | ||
| Title: | Ultrasound backscatter Characterization by using Markov random field model | ||
| Authors: | Nizar Bouhlel, Sylvie Sevestre Ghalila, Laboratoire de Mathématiques Appliquées de Paris 5 (MAP5), France; Mériem Jaidane, Unité Signaux et Systèmes, Tunisia; Christine Graffigne, Laboratoire de Mathématiques Appliquées de Paris 5 (MAP5), France | ||
| Abstract: | This paper evaluates a K-Markov random field model for retrieving information about backscatter characteristics, especially regularity spacing scatterers, in simulated ultrasound image. The model combines a statistical K-distribution that describes the envelope of backscattered echo and spatial interaction given by Markov random field (MRF). Parameters estimated by the conditional least squares (CLS) estimation method on simulated radio-frequency (RF) envelope image show that the interaction parameters measure the degree of the randomness of the scatterers. | ||
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