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Related Experiment Video

Updated: Jan 28, 2026

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

Published on: March 19, 2021

Strategies for data acquisition using ultrasonic phased arrays.

A Velichko¹, A J Croxford¹

¹Department of Mechanical Engineering, University of Bristol, Queens Building, University Walk, Bristol BS8 1TR, UK.

Proceedings. Mathematical, Physical, and Engineering Sciences

|March 7, 2019

Summary

Researchers optimized ultrasonic phased array data acquisition by exploiting the sparse structure of Full Matrix Capture (FMC) data. This reduces data volume and improves efficiency for applications like medical imaging and non-destructive evaluation.

Keywords:

data acquisition plane wave imaging ultrasonic arrays

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Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

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Data Acquisition Protocol for Determining Embedded Sensitivity Functions

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Published on: April 20, 2016

Area of Science:

Ultrasonic phased array technology
Non-destructive evaluation
Medical imaging

Background:

Ultrasonic phased arrays offer significant advantages in various fields.
Full Matrix Capture (FMC) provides maximum data but is slow and generates large datasets.
Efficient data acquisition is crucial for real-time applications.

Purpose of the Study:

To develop an optimal data acquisition strategy for ultrasonic phased arrays.
To minimize array measurements without information loss.
To leverage the inherent sparse structure of FMC data.

Main Methods:

Analysis of the sparse structure within FMC datasets under single scattering assumptions.
Derivation of an analytical relationship between measurement count, steering angle, and signal-to-noise ratio.
Experimental validation of the derived analytical model.

Main Results:

FMC datasets exhibit a sparse structure exploitable for optimized acquisition.
An analytical model quantifies the trade-off between measurement number, angular aperture, and SNR.
Optimal emission count decreases with increasing array angular aperture.
Plane wave imaging data are equivalent to FMC but require significantly fewer firings.

Conclusions:

The sparse nature of FMC data enables efficient acquisition strategies.
Optimized acquisition significantly reduces data volume and processing time.
Plane wave imaging offers a computationally efficient alternative to FMC.