13 March 2017 Multi-frequency accelerating strategy for the contrast source inversion method of ultrasound waveform tomography using pulse data
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Abstract
In this work, we construct a multi-frequency accelerating strategy for the contrast source inversion (CSI) method using pulse data in the time domain. CSI is a frequency-domain inversion method for ultrasound waveform tomography that does not require the forward solver through the process of reconstruction. Several prior researches show that the CSI method has a good performance of convergence and accuracy in the low-center-frequency situation. In contrast, utilizing the high-center-frequency data leads to a high-resolution reconstruction but slow convergence on large numbers of grid. Our objective is to take full advantage of all low frequency components from pulse data with the high-center-frequency data measured by the diagnostic device. First we process the raw data in the frequency domain. Then multi-frequency accelerating strategy helps restart CSI in the current frequency using the last iteration result obtained from the lower frequency component. The merit of multi- frequency accelerating strategy is that computational burden decreases at the first few iterations. Because the low frequency component of dataset computes on the coarse grid with assuming a fixed number of points per wavelength. In the numerical test, the pulse data were generated by the K-wave simulator and have been processed to meet the computation of the CSI method. We investigate the performance of the multi-frequency and single-frequency reconstructions and conclude that the multi-frequency accelerating strategy significantly enhances the quality of the reconstructed image and simultaneously reduces the average computational time for any iteration step.
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Hongxiang Lin, Hongxiang Lin, Takashi Azuma, Takashi Azuma, Xiaolei Qu, Xiaolei Qu, Shu Takagi, Shu Takagi, } "Multi-frequency accelerating strategy for the contrast source inversion method of ultrasound waveform tomography using pulse data", Proc. SPIE 10139, Medical Imaging 2017: Ultrasonic Imaging and Tomography, 1013908 (13 March 2017); doi: 10.1117/12.2254431; https://doi.org/10.1117/12.2254431
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