Dinah Brandner, Bernhard Zagar,
"Maximum likelihood estimation of power law prefactor and exponent from ultrasonic images"
, in Sergey Y. Yurish: Proceedings of the 8th International Conference on Sensors and Electronic Instrumentation Advances (SEIA' 2022), IFSA Publishing, S. L., Seite(n) 232 - 236, 2022, ISBN: 978-84-09-43854-9
Original Titel:
Maximum likelihood estimation of power law prefactor and exponent from ultrasonic images
Sprache des Titels:
Deutsch
Original Buchtitel:
Proceedings of the 8th International Conference on Sensors and Electronic Instrumentation Advances (SEIA' 2022)
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.
Forschungs-