Maximum likelihood estimation of power law prefactor and exponent from ultrasonic images

Description

Quantitative Ultrasound has the potential to augment B-mode morphology images by visual cues also indicating the mechanical properties, like speed of sound, mass density, elasticity, and absorption parameters, of the interrogated biological tissues in such a way, as to significantly improve the diagnostic quality of the images presented to the clinician. We derive and discuss the maximum-likelihood joint estimators for both tissue’s absorption parameters, power-law prefactor, and power-law exponent and apply them to B-mode images with well-defined, since set so, tissue properties so that the estimator’s properties unbiasedness, and estimation variance, can be investigated properly.

Period	21 Sept 2022
Event title	8th International Conference on Sensors and Electronic Instrumentation Advances (SEIA' 2022)
Event type	Conference
Location	GreeceShow on map