Presentation + Paper
13 March 2017 High resolution three-dimensional robotic synthetic tracked aperture ultrasound imaging: feasibility study
Haichong K. Zhang, Ting Yun Fang, Rodolfo Finocchi, Emad M. Boctor
Author Affiliations +
Abstract
Three dimensional (3D) ultrasound imaging is becoming a standard mode for medical ultrasound diagnoses. Conventional 3D ultrasound imaging is mostly scanned either by using a two dimensional matrix array or by motorizing a one dimensional array in the elevation direction. However, the former system is not widely assessable due to its cost, and the latter one has limited resolution and field-of-view in the elevation axis. Here, we propose a 3D ultrasound imaging system based on the synthetic tracked aperture approach, in which a robotic arm is used to provide accurate tracking and motion. While the ultrasound probe is moved by a robotic arm, each probe position is tracked and can be used to reconstruct a wider field-of-view as there are no physical barriers that restrict the elevational scanning. At the same time, synthetic aperture beamforming provides a better resolution in the elevation axis. To synthesize the elevational information, the single focal point is regarded as the virtual element, and forward and backward delay-andsum are applied to the radio-frequency (RF) data collected through the volume. The concept is experimentally validated using a general ultrasound phantom, and the elevational resolution improvement of 2.54 and 2.13 times was measured at the target depths of 20 mm and 110 mm, respectively.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haichong K. Zhang, Ting Yun Fang, Rodolfo Finocchi, and Emad M. Boctor "High resolution three-dimensional robotic synthetic tracked aperture ultrasound imaging: feasibility study", Proc. SPIE 10139, Medical Imaging 2017: Ultrasonic Imaging and Tomography, 1013914 (13 March 2017); https://doi.org/10.1117/12.2254707
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Ultrasonography

3D image processing

Robotics

3D acquisition

Image resolution

Imaging systems

Visualization

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