Maximum likelihood estimation of power law prefactor and exponent from ultrasonic images
Sprache des Vortragstitels:
Englisch
Original Tagungtitel:
8th International Conference on Sensors and Electronic Instrumentation Advances (SEIA' 2022)
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
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.
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