Experimental analysis of ray-based sound speed reconstruction algorithms for phase aberration corrected USCT SAFT imaging

T. Hopp; F. Zuch; M. Zapf; H. Gemmeke; N. V. Ruiter

doi:10.1117/12.2512955

15 March 2019 Experimental analysis of ray-based sound speed reconstruction algorithms for phase aberration corrected USCT SAFT imaging

T. Hopp, F. Zuch, M. Zapf, H. Gemmeke, N. V. Ruiter

Author Affiliations +

Proceedings Volume 10955, Medical Imaging 2019: Ultrasonic Imaging and Tomography; 109550J (2019) https://doi.org/10.1117/12.2512955
Event: SPIE Medical Imaging, 2019, San Diego, California, United States

Abstract

For Ultrasound Tomography reflectivity imaging Synthetic Aperture Focusing Technique (SAFT) is often applied. Phase aberration correction is required to achieve images with high resolution and high contrast, for which a sound speed map is required. For USCT systems these sound speed maps are usually reconstructed using the transmission data from the raw data set, which is also used for reflection tomography. We compare straight and bent ray phase aberration correction SAFT algorithms with respect to different reconstruction algorithms to derive the sound speed map. Evaluations are carried out based on a simulated phantom and measured data from the Multimodal Ultrasound Breast Imaging System (MUBI). Phase aberration correction enables recovering the contrast of the image, while without SAFT results in considerably unfocused inner structures. By applying a reconstructed sound speed map however the local contrast cannot be fully recovered compared to the ideal case. Introducing bent ray transmission reconstruction approaches based on the Fast Marching or B´ezier curve method in all cases improves the results over the straight ray transmission tomography.

Conference Presentation

Citation Download Citation

T. Hopp, F. Zuch, M. Zapf, H. Gemmeke, and N. V. Ruiter "Experimental analysis of ray-based sound speed reconstruction algorithms for phase aberration corrected USCT SAFT imaging", Proc. SPIE 10955, Medical Imaging 2019: Ultrasonic Imaging and Tomography, 109550J (15 March 2019); https://doi.org/10.1117/12.2512955

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