Waveform synthesis for the design and image reconstruction of step FMCW ultrasound imaging systems with conformal transducer arrays

2009 ◽  
Author(s):  
Michael Lee ◽  
Rahul S. Singh ◽  
Martin O. Culjat ◽  
Shyam Natarajan ◽  
Brian P. Cox ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Ultrasound Imaging ◽  
Imaging Systems ◽  
Transducer Arrays ◽  
Waveform Synthesis

Step-FMCW signaling and target detection for ultrasound imaging systems with conformal transducer arrays

2010 ◽  
Author(s):  
Shyam Natarajan ◽  
Rahul S. Singh ◽  
Michael Lee ◽  
Brian P. Cox ◽  
Martin O. Culjat ◽  
...  
Keyword(s):  
Target Detection ◽  
Ultrasound Imaging ◽  
Imaging Systems ◽  
Transducer Arrays

Features to Consider When Selecting New Ultrasound Imaging Systems

2011 ◽  
Vol 8 (7) ◽  
pp. 521-523
Author(s):  
Nicholas J. Hangiandreou ◽  
Scott F. Stekel ◽  
Donald J. Tradup
Keyword(s):  
Ultrasound Imaging ◽  
Imaging Systems

High-Accuracy Ultrasound Contrast Agent Detection Method for Diagnostic Ultrasound Imaging Systems

2015 ◽  
Vol 41 (12) ◽  
pp. 3120-3130 ◽  
Author(s):  
Koichi Ito ◽  
Kazumasa Noro ◽  
Yukari Yanagisawa ◽  
Maya Sakamoto ◽  
Shiro Mori ◽  
...  
Keyword(s):  
Contrast Agent ◽  
Ultrasound Imaging ◽  
Detection Method ◽  
Ultrasound Contrast Agent ◽  
Diagnostic Ultrasound ◽  
High Accuracy ◽  
Imaging Systems ◽  
Ultrasound Contrast

New Processing Techniques in Ultrasound Imaging Systems

1982 ◽  
pp. 177-193 ◽  
Author(s):  
G. F. Manes ◽  
C. Susini ◽  
P. Tortoli ◽  
C. Atzeni
Keyword(s):  
Ultrasound Imaging ◽  
Imaging Systems ◽  
New Processing ◽  
Processing Techniques

scholarly journals Detection of specific areas and densities for ultrasound tomography

2019 ◽  
pp. 121-127
Author(s):  
Victoria Erofeeva ◽  
Vasilisa Galyamina ◽  
Kseniya Gonta ◽  
Anna Leonova ◽  
Oleg Granichin ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Ultrasound Imaging ◽  
Arrival Time ◽  
Detection Accuracy ◽  
Problem Solution ◽  
Ultrasound Tomography ◽  
Arrival Times ◽  
Whole Process ◽  
Imaging Reconstruction ◽  
Tomography Data

In this paper we consider the problem of ultrasound tomography. Recently, an increased interest in ultrasound tomography has been caused by non-invasiveness of the method and increased detection accuracy (as compared to radiation tomography), and also ultrasound tomography does not put at risk human health. We study possibilities of detection of specific areas and determining their density using ultrasound tomography data. The process of image reconstruction based on ultrasound data is computationally complex and time consuming. It contains the following parts: calculation of the time-of-flight (TOF) of a signal, detection of specific areas, calculation of density of specific areas. The calculation of the arrival time of a signal is a very important part, because the errors in the calculation of quantities strongly influence the total problem solution. We offer ultrasound imaging reconstruction technology that can be easily parallelized. The whole process is described: from extracting the arrival times of signals raw data feeding from physical receivers to obtaining the desired results.

A Low-Power Analog Delay Line Using a Current-Splitting Method for 3-D Ultrasound Imaging Systems

2018 ◽  
Vol 65 (7) ◽  
pp. 829-833 ◽  
Author(s):  
Ji-Yong Jeong ◽  
Jae-Sung An ◽  
Sung-Jin Jung ◽  
Seong-Kwan Hong ◽  
Oh-Kyong Kwon
Keyword(s):  
Low Power ◽  
Ultrasound Imaging ◽  
Delay Line ◽  
Splitting Method ◽  
Imaging Systems ◽  
A Current

scholarly journals Deep learning in holography and coherent imaging

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Yair Rivenson ◽  
Yichen Wu ◽  
Aydogan Ozcan
Keyword(s):  
Deep Learning ◽  
Image Reconstruction ◽  
Imaging Systems ◽  
New Paradigm ◽  
Coherent Imaging ◽  
Holographic Image ◽  
Engineering Research ◽  
Recent Advances ◽  
Reconstruction Methods ◽  
Recovery Techniques

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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