Broadband Integral Full Waveform Inversion (Bifwi) on Medical Imaging

Abstract

Summary It is well known that the conventional full waveform inversion (FWI) ( Tarantola, 1984 ) could be used to invert both the low and high wavenumber components of the seismic velocity in exploration geophysics. In recent years, the application of FWI in ultrasound medical imaging becomes a hot research topic ( Bernard et al., 2017 , Guasch et al., 2020 , Patrick et al., 2021 ). The conventional FWI might fail because of the cycle-skipping problem resulted from the lack of accurate initial velocity model or low frequency components in the field data. In this abstract, we introduce the broadband integral full waveform inversion (BIFWI) which includes two preconditions to improve the accuracy and resolution of the FWI algorithm using medical ultrasonic data. The first precondition is to apply integral wavefields misfit function ( Yang and Engquist, 2018 ) to keep both the high and low frequency components in the FWI gradient, and the other one is to use a broadband wavelet to replace the traditional one to calculate the forward modeling data. Numerical tests on the bone models shows that the new BIFWI algorithm can converge to a satisfactory result when conventional FWI and IFWI fail.