Advancing Acoustic Droplet Vaporization for Tissue Characterization Using Quantitative Ultrasound and Transfer Learning

Acoustic droplet vaporization (ADV) is an emerging technique with expanding applications in biomedical ultrasound. ADV-generated bubbles can function as microscale probes that provide insights into the mechanical properties of their surrounding microenvironment. This study investigated the acoustic...

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Veröffentlicht in:	IEEE transactions on biomedical engineering Jg. 72; H. 6; S. 1897 - 1908
Hauptverfasser:	Kaushik, Anuj, Fabiilli, Mario L., Myers, Daniel D., Fowlkes, J. Brian, Aliabouzar, Mitra
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.06.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Acoustic droplet vaporization Acoustic responses Acoustics Artificial neural networks Biological tissues Biomedical engineering Biomedical imaging Bubbles Cavitation Deep Learning Density Droplets Fibrin Fibrin - chemistry Homogeneity Humans Hydrogels Hydrogels - chemistry Hydrophones Image Processing, Computer-Assisted - methods Imaging techniques Lipidomics Liquids Mean Mechanical properties Microenvironments Neural networks Phantoms, Imaging phase-shift droplets Probes Radiology Texture tissue characterization Tissue engineering Transfer learning Ultrasonic imaging Ultrasonography - methods Ultrasound Vaporization Volatilization
ISSN:	0018-9294, 1558-2531, 1558-2531
Online-Zugang:	Volltext
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