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Proceedings Paper

Multi-frequency accelerating strategy for the contrast source inversion method of ultrasound waveform tomography using pulse data
Author(s): Hongxiang Lin; Takashi Azuma; Xiaolei Qu; Shu Takagi
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Paper 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.

Paper Details

Date Published: 13 March 2017
PDF: 9 pages
Proc. SPIE 10139, Medical Imaging 2017: Ultrasonic Imaging and Tomography, 1013908 (13 March 2017); doi: 10.1117/12.2254431
Show Author Affiliations
Hongxiang Lin, The Univ. of Tokyo (Japan)
Takashi Azuma, The Univ. of Tokyo (Japan)
Xiaolei Qu, The Univ. of Tokyo (Japan)
Shu Takagi, The Univ. of Tokyo (Japan)


Published in SPIE Proceedings Vol. 10139:
Medical Imaging 2017: Ultrasonic Imaging and Tomography
Neb Duric; Brecht Heyde, Editor(s)

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