Power spectrum equalized passive acoustic mapping

Passive acoustic mapping (PAM) is a technique to monitor and discern the nature of acoustic emissions with functions of source localization and dose calculation. Two general concerns along with functions of PAM refer to its limited resolution for localization and worldwide inconsistent consensus about data calibration for quantitative dose analyzing via experimental way. Alleviating the point spread function (PSF) of PAM could maximally mitigate the system disturbance, and therefore to benefit the data calibration while enhance the output performance. Power spectrum equalized based techniques such as the sphering transformation and deconvolution have been used in active ultrasound modes to restore true images [1]. In this study, a Cepstrum-based Time Exposure Acoustics (TEA) deconvolution method (CTEA) was proposed into PAM, building on TEA beamformer (BF) to discuss the final image quality performance and energy consistency. All the BF calculations were boosted by paralleled-running benchmark and matrix-beamforming techniques through high-performance computer cluster for computation simplicity, and the results from TEA and CTEA were adapted into polar coordinate with flexible field of view then verified with own set simulation and experimental data.