Ultrasound breast imaging using frequency domain reverse time migration

O. Roy; M. A. H. Zuberi; R. G. Pratt; N. Duric

doi:10.1117/12.2218366

Translator Disclaimer

1 April 2016 Ultrasound breast imaging using frequency domain reverse time migration

O. Roy, M. A. H. Zuberi, R. G. Pratt, N. Duric

Proceedings Volume 9790, Medical Imaging 2016: Ultrasonic Imaging and Tomography; 97900B (2016) https://doi.org/10.1117/12.2218366
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Conventional ultrasonography reconstruction techniques, such as B-mode, are based on a simple wave propagation model derived from a high frequency approximation. Therefore, to minimize model mismatch, the central frequency of the input pulse is typically chosen between 3 and 15 megahertz. Despite the increase in theoretical resolution, operating at higher frequencies comes at the cost of lower signal-to-noise ratio. This ultimately degrades the image contrast and overall quality at higher imaging depths. To address this issue, we investigate a reflection imaging technique, known as reverse time migration, which uses a more accurate propagation model for reconstruction. We present preliminary simulation results as well as physical phantom image reconstructions obtained using data acquired with a breast imaging ultrasound tomography prototype. The original reconstructions are filtered to remove low-wavenumber artifacts that arise due to the inclusion of the direct arrivals. We demonstrate the advantage of using an accurate sound speed model in the reverse time migration process. We also explain how the increase in computational complexity can be mitigated using a frequency domain approach and a parallel computing platform.

Citation Download Citation

O. Roy, M. A. H. Zuberi, R. G. Pratt, and N. Duric "Ultrasound breast imaging using frequency domain reverse time migration", Proc. SPIE 9790, Medical Imaging 2016: Ultrasonic Imaging and Tomography, 97900B (1 April 2016); https://doi.org/10.1117/12.2218366

ACCESS THE FULL ARTICLE