Open Access
8 April 2016 Synthetic tracked aperture ultrasound imaging: design, simulation, and experimental evaluation
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Abstract
Ultrasonography is a widely used imaging modality to visualize anatomical structures due to its low cost and ease of use; however, it is challenging to acquire acceptable image quality in deep tissue. Synthetic aperture (SA) is a technique used to increase image resolution by synthesizing information from multiple subapertures, but the resolution improvement is limited by the physical size of the array transducer. With a large F-number, it is difficult to achieve high resolution in deep regions without extending the effective aperture size. We propose a method to extend the available aperture size for SA—called synthetic tracked aperture ultrasound (STRATUS) imaging—by sweeping an ultrasound transducer while tracking its orientation and location. Tracking information of the ultrasound probe is used to synthesize the signals received at different positions. Considering the practical implementation, we estimated the effect of tracking and ultrasound calibration error to the quality of the final beamformed image through simulation. In addition, to experimentally validate this approach, a 6 degree-of-freedom robot arm was used as a mechanical tracker to hold an ultrasound transducer and to apply in-plane lateral translational motion. Results indicate that STRATUS imaging with robotic tracking has the potential to improve ultrasound image quality.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Haichong K. Zhang, Alexis Cheng, Nick Bottenus, Xiaoyu Guo, Gregg E. Trahey, and Emad M. Boctor "Synthetic tracked aperture ultrasound imaging: design, simulation, and experimental evaluation," Journal of Medical Imaging 3(2), 027001 (8 April 2016). https://doi.org/10.1117/1.JMI.3.2.027001
Published: 8 April 2016
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CITATIONS
Cited by 41 scholarly publications and 1 patent.
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KEYWORDS
Ultrasonography

Image quality

Calibration

Error analysis

Transducers

Tissues

Image segmentation

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