ultrasonic speckle
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2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Siyi Liang ◽  
Lidai Wang

AbstractUltrasonography is a major medical imaging technique that has been broadly applied in many disease diagnoses. However, due to strong aberration and scattering in the human skull, high-resolution transcranial ultrasonic imaging remains a grand challenge. Here, we explore the rotational-invariant property of ultrasonic speckle and develop high-resolution speckle-scanning ultrasonography to image sub-millimeter-sized features through thick bones. We experimentally validate the rotational invariance of ultrasonic speckle. Based on this property, we scan a random ultrasonic speckle pattern across an object sandwiched between two thick bones so that the object features can be encoded to the ultrasonic waves. After receiving the transmitted ultrasonic waves, we reconstruct the image of the object using an iterative phase retrieval algorithm. We successfully demonstrate imaging of hole and tube features sized as fine as several hundreds of microns between two 0.5 ~ 1-cm-thick bones. With 2.5-MHz excitation and the third-harmonic detection, we measure the spatial resolution as 352 µm. Rotational-invariant speckle-scanning ultrasonography offers a new approach to image through thick bones and paves an avenue towards high-resolution ultrasonic imaging of the human brain.


2019 ◽  
Vol 1169 ◽  
pp. 012012
Author(s):  
Bingbing He ◽  
Yufeng Zhang ◽  
Yuqian Wang ◽  
Hongxuan Zhu ◽  
Weijia Zhao

2016 ◽  
Vol 103 ◽  
pp. 221-225
Author(s):  
Hongmao Zhu ◽  
Yanyang Wu

Soft Matter ◽  
2015 ◽  
Vol 11 (24) ◽  
pp. 4742-4755 ◽  
Author(s):  
F. Martoïa ◽  
C. Perge ◽  
P. J. J. Dumont ◽  
L. Orgéas ◽  
M. A. Fardin ◽  
...  

The coexistence of multiple flow bands, wall slippage and possible multidimensional effects in enzymatic and TEMPO cellulose nanofibril suspensions under shear were revealed using optical and ultrasonic speckle velocimetry (USV) rheometry techniques.


Measurement ◽  
2014 ◽  
Vol 47 ◽  
pp. 938-945 ◽  
Author(s):  
Zhihua Luo ◽  
Jun Chu ◽  
Lei Shen ◽  
Peng Hu ◽  
Hongmao Zhu ◽  
...  
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