GPU based 3D SAFT reconstruction including phase aberration

E. Kretzek; N. V. Ruiter

doi:10.1117/12.2042669

20 March 2014 GPU based 3D SAFT reconstruction including phase aberration

E. Kretzek, N. V. Ruiter

Proceedings Volume 9040, Medical Imaging 2014: Ultrasonic Imaging and Tomography; 90400W (2014) https://doi.org/10.1117/12.2042669
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

3D ultrasound computer tomography (3D USCT) promises reproducible high-resolution images for early detection of breast tumors. The KIT prototype provides three different modalities (reflectivity, speed of sound (SOS), and attenuation). For high resolution reflectivity images phase aberration correction using the SOS images is necessary. The synthetic aperture focusing technique (SAFT) used for reflectivity image reconstruction is highly compute-intensive but suitable for an accelerated execution on GPUs. In this paper we investigate how the calculation of the phase aberration correction can be optimized and integrated into the SAFT algorithm. We analysed different strategies to optimize the trade off between memory requirement and image quality. For 64 slices with 1024² pixels a reconstruction can be done in 34 min on eight GPUs with a performance of 58.4 GV/s in comparison to the GPU reconstruction without phase aberration correction which needs 23 min. The average error made by the optimized SOS calculation is negligible.

Citation Download Citation

E. Kretzek and N. V. Ruiter "GPU based 3D SAFT reconstruction including phase aberration", Proc. SPIE 9040, Medical Imaging 2014: Ultrasonic Imaging and Tomography, 90400W (20 March 2014); https://doi.org/10.1117/12.2042669

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available