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Spectral Analysis of Ultrasonic and Photo Acoustic Signals Generated by a Prototypal Fiber Microprobe for Media Characterization
- Source :
- Sensing and Imaging. 21
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Combination of photoacoustics and ultrasound can provide complemental features and mutual benefits, useful for a complete tissue characterization and consequently for early diagnosis or therapy monitoring. Furthermore, minimally invasive techniques are required both to reach organs or tissue not accessible and to reduce patient discomfort and costs. This work has tested a prototypal microprobe for media characterization analysing their optical and mechanical features. Two different transmitters compose the miniaturized probe: one for large bandwidth ultrasonic signals generation and one for guiding the laser light into tissue to photogenerate ultrasound. The aim is to evaluate the possibility of employing in the future this new type of microprobe to characterize internal tissue, combining ultrasound and photoacoustic investigations. A calibrated commercial hydrophone has been used to detect generated signals, with the aim to provide repeatable and reliable results. Dedicated test objects have been realized by using solutions of corn starch flour and of Chinese ink with different and calibrated dilutions. The spectral algorithm HyperSPACE (Hyper SPectral Analysis for Characterization in Echography), applied on ultrasonic and photoacoustic signals has allowed differentiating scatterers’ concentration and distribution.
- Subjects :
- Microprobe
Materials science
Hydrophone
Inkwell
business.industry
Acoustics
Ultrasound
Bandwidth (signal processing)
02 engineering and technology
021001 nanoscience & nanotechnology
01 natural sciences
0103 physical sciences
Spectral analysis
Ultrasonic sensor
Photo acoustic
Electrical and Electronic Engineering
0210 nano-technology
business
010301 acoustics
Instrumentation
Subjects
Details
- ISSN :
- 15572072 and 15572064
- Volume :
- 21
- Database :
- OpenAIRE
- Journal :
- Sensing and Imaging
- Accession number :
- edsair.doi...........2812e9ddd3e731405ed557ab3b07611d