Internal pipeline inspection using virtual source synthetic aperture ultrasound imaging

2013 ◽  
Vol 54 ◽  
pp. 151-158 ◽  
Author(s):  
Martin H. Skjelvareid ◽  
Yngve Birkelund ◽  
Yngvar Larsen
Keyword(s):  
Ultrasound Imaging ◽  
Synthetic Aperture ◽  
Virtual Source ◽  
Pipeline Inspection

scholarly journals An analytical approach to optimize radial synthetic aperture focusing for volumetric transrectal ultrasound imaging

2021 ◽  
Author(s):  
Hyunwoo Song ◽  
Jeeun Kang ◽  
Emad M. Boctor
Keyword(s):  
Ultrasound Imaging ◽  
Analytical Approach ◽  
Transrectal Ultrasound ◽  
Analytical Description ◽  
Design Criterion ◽  
Synthetic Aperture ◽  
Critical Parameters ◽  
Grating Lobe ◽  
Radial Plane ◽  
Synthetic Aperture Focusing

In this paper, we present a novel analytical approach to optimize radial synthetic aperture focusing framework for high-definite and high-sensitive volumetric transrectal ultrasound imaging (TRUS-rSAF). A closed-form analytical description of beam profile defines spatial resolution and grating lobe positions in the TRUS-rSAF imaging of radial plane and validated by a heuristic testing of the critical parameters. Given the theoretical foundation, we optimize the TRUS-rSAF system configuration to balance the spatial and temporal resolution, grating lobe artifacts, and signal-to-noise ratio (SNR) in radial plane with a design criterion to outperform a clinical volumetric TRUS (TRUS-REF) imaging. The results showed that the proposed analytical optimization provides significant improvements of imaging quality in radial plane even over an in-plane microconvex TRUS imaging. Therefore, our analytical approach provides a optimal framework for effective TRUS-rSAF imaging in clinics.

An improved measurement matrix of compressed sensing for synthetic aperture ultrasound imaging

2022 ◽  
Vol 188 ◽  
pp. 108592
Author(s):  
Ping Wang ◽  
Xuegong Liu ◽  
Xitao Li ◽  
Dawod Al-Qadasi ◽  
Linhong Wang
Keyword(s):  
Compressed Sensing ◽  
Ultrasound Imaging ◽  
Synthetic Aperture ◽  
Measurement Matrix
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