Ultrasound Backscatter characterization by using Markov random field model
Autor: | Christine Graffigne, Nizar Bouhlel, Meriem Jaidane, Sylvie Sevestre-Ghalila |
---|---|
Přispěvatelé: | Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), Unité signaux et systèmes (U2S), Université de Tunis El Manar (UTM), Mathématiques Appliquées à Paris 5 ( MAP5 - UMR 8145 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National des Sciences Mathématiques et de leurs Interactions-Centre National de la Recherche Scientifique ( CNRS ), Unité signaux et systèmes ( U2S ), Université Tunis El Manar ( UTM ), Bouhlel, Nizar, Université Tunis El Manar (UTM) |
Jazyk: | angličtina |
Rok vydání: | 2006 |
Předmět: |
[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]
[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing Backscatter Markov Model [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing Markov process K-Distribution [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing Markov model 01 natural sciences Tissue Characterization 030218 nuclear medicine & medical imaging 03 medical and health sciences symbols.namesake 0302 clinical medicine [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing 0103 physical sciences Computer vision Texture 010301 acoustics Randomness Ultrasound RF image Mathematics [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing Markov random field Random field Estimation theory business.industry [MATH.MATH-PR]Mathematics [math]/Probability [math.PR] symbols Artificial intelligence business Algorithm [ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR] [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing K-distribution |
Zdroj: | ICASSP2006 IEEE International Conference on Acoustics, Speech and Signal Processing IEEE International Conference on Acoustics, Speech and Signal Processing, May 2006, Toulouse, France. pp.1124-1127 Scopus-Elsevier IEEE International Conference on Acoustics, Speech and Signal Processing, May 2006, Toulouse, France. 2, pp.1124-1127, 2006 HAL ICASSP (2) |
Popis: | International audience; 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. |
Databáze: | OpenAIRE |
Externí odkaz: |