Real-Time Synthetic-Aperture Imaging Algorithm for Ultrasonic Endoscopy Based on Coherence Factor

Yuze Xiao; Xiaodong Chen; Yong Xu; Jin Yang; Jing Sheng; Haolin Liang; Yi Wang

doi:10.3788/LOP56.021701

Laser & Optoelectronics Progress, Volume. 56, Issue 2, 021701(2019)

Real-Time Synthetic-Aperture Imaging Algorithm for Ultrasonic Endoscopy Based on Coherence Factor

Yuze Xiao, Xiaodong Chen^*, Yong Xu, Jin Yang, Jing Sheng, Haolin Liang, and Yi Wang

Key Laboratory of Optoelectronic Information Technology, Ministry of Education, College of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China

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Figures & Tables(12)

Fig. 1. Implementation of SA

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Fig. 2. Calculation of transit time

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Fig. 3. Implementation process of parallel processing

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Fig. 4. Processing results of SA and CFSA algorithms on CPU platform. (a) Imaging result of SA algorithm; (b) imaging result of CFSA algorithm

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Fig. 5. Transverse energy distribution of SA and CFSA algorithms. (a) z=40 mm; (b) z=35 mm

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Fig. 6. Processing results of CFSA algorithms on CPU and GPU. (a) Imaging result of CPU platform; (b) imaging result of GPU platform

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Fig. 7. Processing results of SA and CFSA algorithms on CPU platform. (a) Imaging result of SA algorithm; (b) imaging result of CFSA algorithm

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Table 1. Simulation experimental parameters
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Table 1. Simulation experimental parameters
Parameter Value
Ultrasonic velocity in body /(m·s^-1) 1540
Center frequency of transducer /MHz 7
Sampling frequency /MHz 180
Array element width /mm 0.2400
Transducer interval /mm 0.145
Number of element 64

Table 2. Imaging error rate
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Table 2. Imaging error rate
Data size Total number of points Error points Error rate /%
5305×59×64×8 bit 5305×59 726 0.232

Table 3. Consuming time of various parallel acceleration methods

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Table 3. Consuming time of various parallel acceleration methods

Parallel acceleration method	Consuming time /s
Simple parallel acceleration	2.77
Shared memory	2.56
Two-dimensional thread	0.81
Optimization of thread allocation	2.11
Reduce number of memory replicas	1.31
Algorithm optimization	2.12
Synthesis of the above methods	0.17

Table 4. Lateral resolution of SA and CFSA algorithms
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Table 4. Lateral resolution of SA and CFSA algorithms
Investigation depth z /mm Resolution of SA Resolution of CFSA Resolution enhancement /%
75.5 2.65 1.31 50.6
77.5 2.90 1.35 53.4

Table 5. Consuming time of SA and CFSA algorithms
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Table 5. Consuming time of SA and CFSA algorithms
Data size SA CFSA Speed upratio
Consumingtime for CPU /s Consumingtime for CPU /s Consumingtime for GPU /s
1063×760×64×8 bit 78.20 80.02 0.12 667

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Yuze Xiao, Xiaodong Chen, Yong Xu, Jin Yang, Jing Sheng, Haolin Liang, Yi Wang. Real-Time Synthetic-Aperture Imaging Algorithm for Ultrasonic Endoscopy Based on Coherence Factor[J]. Laser & Optoelectronics Progress, 2019, 56(2): 021701

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