Compressed sensing photoacoustic imaging for high-speed imaging with sparse measurement: a theoretical study

2021 ◽  
Author(s):  
Jiaqi Tang ◽  
Aojie Zhao ◽  
Bo Li ◽  
Xianlin Song
Keyword(s):  
Compressed Sensing ◽  
High Speed ◽  
Theoretical Study ◽  
Photoacoustic Imaging ◽  
High Speed Imaging

scholarly journals Study on cerebral vascular image of spectral domain optical coherence tomography with compressive sensing

2013 ◽  
Vol 11 (3) ◽  
pp. 2355-2359
Author(s):  
Ping Xu ◽  
Zhaoyang Jin ◽  
Yong Yang
Keyword(s):  
Optical Coherence Tomography ◽  
Compressed Sensing ◽  
High Speed ◽  
Signal To Noise Ratio ◽  
Spectral Domain ◽  
Optical Coherence ◽  
L1 Norm ◽  
High Speed Imaging ◽  
Sd Oct ◽  
Cerebral Vascular

We propose a novel compressed sensing method to retrieve cerebral vascular image for spectral-domain optical coherence tomography (SD OCT). The compressed sensing method based on l1 norm minimization is applied to reconstruct each A-scan data. The proposed method uses about 25% of the total data as required in traditional SD OCT to reconstruct the cerebral angiograpy. Therefore this method is favorable for high speed imaging for cerebral angiograpy. It is shown that the proposed method can achieve better performance of axial resolution and higher signal-to-noise ratio (SNR) as compared with the conventional methods.

Experimental Measurement of In-Plane Rolling Nonpneumatic Tire Vibrations Using High-Speed Imaging

2019 ◽  
Vol 47 (3) ◽  
pp. 196-210
Author(s):  
Meghashyam Panyam ◽  
Beshah Ayalew ◽  
Timothy Rhyne ◽  
Steve Cron ◽  
John Adcox
Keyword(s):  
High Speed ◽  
Image Correlation ◽  
Dynamic Mode Decomposition ◽  
Dynamic Mode ◽  
High Speed Imaging ◽  
Correlation Algorithm ◽  
Mode Decomposition ◽  
Series Of Experiments ◽  
Plane Deformations ◽  
Dominant Frequencies

ABSTRACT This article presents a novel experimental technique for measuring in-plane deformations and vibration modes of a rotating nonpneumatic tire subjected to obstacle impacts. The tire was mounted on a modified quarter-car test rig, which was built around one of the drums of a 500-horse power chassis dynamometer at Clemson University's International Center for Automotive Research. A series of experiments were conducted using a high-speed camera to capture the event of the rotating tire coming into contact with a cleat attached to the surface of the drum. The resulting video was processed using a two-dimensional digital image correlation algorithm to obtain in-plane radial and tangential deformation fields of the tire. The dynamic mode decomposition algorithm was implemented on the deformation fields to extract the dominant frequencies that were excited in the tire upon contact with the cleat. It was observed that the deformations and the modal frequencies estimated using this method were within a reasonable range of expected values. In general, the results indicate that the method used in this study can be a useful tool in measuring in-plane deformations of rolling tires without the need for additional sensors and wiring.

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