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