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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on biomedical engineering Ročník 72; číslo 6; s. 1897 - 1908
Hlavní autori:	Kaushik, Anuj, Fabiilli, Mario L., Myers, Daniel D., Fowlkes, J. Brian, Aliabouzar, Mitra
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.06.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!