Quantitative tissue characterization using discrete wavelet transform of photoacoustic signals: a feasibility study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s11760-019-01485-6.pdf
Reference27 articles.
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3. Xu, G., et al.: Photoacoustic spectrum analysis for microstructure characterization in biological tissue: a feasibility study. Appl. Phys. Lett. 101(22), 221102 (2012)
4. Wang, S., et al.: Theoretical and experimental study of spectral characteristics of the photoacoustic signal from stochastically distributed particles. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 62(7), 1245–1255 (2015)
5. Sinha, S., et al.: Evaluation of frequency domain analysis of a multiwavelength photoacoustic signal for differentiating malignant from benign and normal prostates. J. Ultrasound Med. 35(10), 2165–2177 (2016)
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