Fast Total Focusing Method Based On Elliptical Arc Scanning algorithm and OpenCL Acceleration

Total focusing method (TFM), as the most effective post-processing technique for ultrasonic phased array imaging currently, can achieve focusing at any point within the detection area, possessing advantages of high resolution and signal-to-noise ratio that traditional phased array imaging methods lack. However, Total Focusing Method (TFM) imaging requires delay-and-sum processing of full matrix capture (FMC) data. If the number of elements involved in signal acquisition is N, the full matrix data will contain N A-scan signals, each containing thousands of sampling points.This will result in long computation time and make it difficult to achieve real-time imaging. This paper proposes a fast total focusing method that combines elliptical arc scanning algorithm and OpenCL hardware acceleration, and deploys it to a self-developed ultrasound phased array imaging system. Results show that the fast total focusing method can generate a 512 × 512 pixel image with 32 elements in an average time of only 64 milliseconds, far surpassing the time required by conventional total focusing algorithms, providing a feasible approach for real-time high-precision non-destructive testing online.

Authors

Institutions

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/icmsp64464.2024.10866281
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fast Total Focusing Method Based On Elliptical Arc Scanning algorithm and OpenCL Acceleration

Yulong Pan, Rui Yu, Aijun He, Weizhi Tao
Image Processing Techniques and Applications
article

Fast Total Focusing Method Based On Elliptical Arc Scanning algorithm and OpenCL Acceleration

Yulong Pan, Rui Yu, Aijun He, Weizhi Tao
article en

Abstract

Total focusing method (TFM), as the most effective post-processing technique for ultrasonic phased array imaging currently, can achieve focusing at any point within the detection area, possessing advantages of high resolution and signal-to-noise ratio that traditional phased array imaging methods lack. However, Total Focusing Method (TFM) imaging requires delay-and-sum processing of full matrix capture (FMC) data. If the number of elements involved in signal acquisition is N, the full matrix data will contain N A-scan signals, each containing thousands of sampling points.This will result in long computation time and make it difficult to achieve real-time imaging. This paper proposes a fast total focusing method that combines elliptical arc scanning algorithm and OpenCL hardware acceleration, and deploys it to a self-developed ultrasound phased array imaging system. Results show that the fast total focusing method can generate a 512 × 512 pixel image with 32 elements in an average time of only 64 milliseconds, far surpassing the time required by conventional total focusing algorithms, providing a feasible approach for real-time high-precision non-destructive testing online.

Nanjing University (CN)
Affordable and clean energy
Openalex Percentile: Top 61%
Image Processing Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.