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Online evolution of a phased array for ultrasonic imaging by a novel adaptive data acquisition method
Peter Lukacs1, Theodosia Stratoudaki2, Geo Davis3
1University of Strathclyde, Electronic and Electrical Engineering, Glasgow, G1 1XW, UK. peter.lukacs@strath.ac.uk.
Scientific Reports
|April 12, 2024
Summary
Selective Matrix Capture (SMC) significantly speeds up ultrasonic imaging by adaptively acquiring data, reducing acquisition time and data size tenfold. This method achieves comparable imaging results to complete data sets, enhancing efficiency in applications requiring rapid measurements.
Area of Science:
- Physics
- Engineering
- Medical Imaging
Background:
- Ultrasonic imaging utilizes phased arrays for diverse applications in science and medicine.
- Complete data acquisition in phased arrays is time-consuming, data-intensive, and technologically limited for rapid imaging.
Purpose of the Study:
- To introduce and experimentally validate Selective Matrix Capture (SMC), an adaptive data acquisition method for efficient ultrasonic imaging.
- To demonstrate SMC's ability to dynamically adjust array configurations for specific imaging needs.
Main Methods:
- SMC employs a two-stage process: initial sparse array synthesis to identify regions of interest, followed by array optimization.
- Laser Induced Phased Arrays (LIPAs) were used for experimental realization, enabling on-the-fly reconfiguration.
- The delay-and-sum algorithm was applied for image reconstruction.
Main Results:
- SMC achieved comparable imaging results to complete data acquisition methods.
- Data acquisition time was reduced by over 10 times.
- Data size was reduced by over 10 times.
Conclusions:
- SMC offers a highly efficient alternative for ultrasonic imaging, particularly in scenarios demanding fast acquisition.
- The adaptive nature of SMC, combined with LIPAs, overcomes limitations of traditional phased array technology.
- This method significantly enhances the feasibility of ultrasonic imaging for time-sensitive applications.
