A statistical analysis of phase aberration correction using image quality factors in coherent imaging systems

1992 ◽  
Vol 11 (3) ◽  
pp. 446-452 ◽  
Author(s):  
D. Zhao ◽  
G.E. Trahey
1992 ◽  
Vol 14 (2) ◽  
pp. 97-110 ◽  
Author(s):  
D. Zhao ◽  
L. N. Bohs ◽  
G. E. Trahey

Inhomogeneous acoustic velocity in human tissue introduces phase aberration in ultrasonic imaging systems and degrades image quality. A novel technique that employs echo signals from moving diffuse targets, such as flowing blood, as an image quality factor to compensate for phase aberration is described. Such signals can be obtained by subtracting the images of two consecutive target interrogations. The fundamental statistics of the quality factor and other related parameters are developed to provide a theoretical basis for the technique.


2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Yair Rivenson ◽  
Yichen Wu ◽  
Aydogan Ozcan

Abstract Recent advances in deep learning have given rise to a new paradigm of holographic image reconstruction and phase recovery techniques with real-time performance. Through data-driven approaches, these emerging techniques have overcome some of the challenges associated with existing holographic image reconstruction methods while also minimizing the hardware requirements of holography. These recent advances open up a myriad of new opportunities for the use of coherent imaging systems in biomedical and engineering research and related applications.


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