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Research on Time-frequency Characteristics of Magneto-acoustic Signal of Different Thickness Medium Based on Wave Summing Method / 生物医学工程学杂志
Article in Zh | WPRIM | ID: wpr-359578
Responsible library: WPRO
ABSTRACT
Functional imaging method of biological electrical characteristics based on magneto-acoustic effect gives valuable information of tissue in early tumor diagnosis, therein time and frequency characteristics analysis of magneto-acoustic signal is important in image reconstruction. This paper proposes wave summing method based on Green function solution for acoustic source of magneto-acoustic effect. Simulations and analysis under quasi 1D transmission condition are carried out to time and frequency characteristics of magneto-acoustic signal of models with different thickness. Simulation results of magneto-acoustic signal were verified through experiments. Results of the simulation with different thickness showed that time-frequency characteristics of magneto-acoustic signal reflected thickness of sample. Thin sample, which is less than one wavelength of pulse, and thick sample, which is larger than one wavelength, showed different summed waveform and frequency characteristics, due to difference of summing thickness. Experimental results verified theoretical analysis and simulation results. This research has laid a foundation for acoustic source and conductivity reconstruction to the medium with different thickness in magneto-acoustic imaging.
Subject(s)
Full text: 1 Index: WPRIM Main subject: Acoustics / Computer Simulation / Diagnostic Imaging / Electricity / Electrophysiological Phenomena / Magnetics / Models, Theoretical Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: Zh Journal: Journal of Biomedical Engineering Year: 2015 Type: Article
Full text: 1 Index: WPRIM Main subject: Acoustics / Computer Simulation / Diagnostic Imaging / Electricity / Electrophysiological Phenomena / Magnetics / Models, Theoretical Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: Zh Journal: Journal of Biomedical Engineering Year: 2015 Type: Article