Spectral characteristics of the sound generated by ultrasound imaging systems in the human body

2001 ◽  
Vol 110 (5) ◽  
pp. 2623-2623
Author(s):  
Mostafa Fatemi ◽  
Paul L. Ogburn ◽  
James F. Greenleaf
Keyword(s):  
Ultrasound Imaging ◽  
Human Body ◽  
Spectral Characteristics ◽  
Imaging Systems

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

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

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

NEW STANDARDS FOR FEVER SCREENING WITH THERMAL IMAGING SYSTEMS

2013 ◽  
Vol 13 (02) ◽  
pp. 1350045 ◽  
Author(s):  
E. F. J. RING ◽  
A. JUNG ◽  
B. KALICKI ◽  
J. ZUBER ◽  
A. RUSTECKA ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Body Temperature ◽  
Human Body ◽  
Thermal Imaging ◽  
Imaging Systems ◽  
Contact Site ◽  
Infrared Thermal Imaging ◽  
Significant Difference ◽  
Human Body Temperature ◽  
Eye Region

Infrared thermal imaging has in recent years become more accessible and affordable as a means of remote sensing for human body temperature such as in identifying a person with fever. The implementation and operational guidelines for identifying a febrile human using a screening thermograph as documented in the ISO/TR 13154:2009 ISO/TR 80600 has been deployed for the screening of a total of 402 children. It was found that there was a significant difference between the temperatures measured in non-fevered patients and those with known fever, with the thermal imaging of the eye region being the most rapid non-contact site for measurement.

Ultrasound Imaging Characterization of Soft Tissue Dynamics of the Seated Human Body

2020 ◽  
Vol 142 (6) ◽  
Author(s):  
Daisuke Yamada ◽  
Alperen Değirmenci ◽  
Robert D. Howe
Keyword(s):  
Ultrasound Imaging ◽  
Human Body ◽  
Human Subjects ◽  
Excitation Amplitude ◽  
Whole Body ◽  
Ultrasound Images ◽  
Body Dynamics ◽  
Excitation Pattern

Abstract To characterize the dynamics of internal soft organs and external anatomical structures, this paper presents a system that combines medical ultrasound imaging with an optical tracker and a vertical exciter that imparts whole-body vibrations on seated subjects. The spatial and temporal accuracy of the system was validated using a phantom with calibrated internal structures, resulting in 0.224 mm maximum root-mean-square (r.m.s.) position error and 13 ms maximum synchronization error between sensors. In addition to the dynamics of the head and sternum, stomach dynamics were characterized by extracting the centroid of the stomach from the ultrasound images. The system was used to characterize the subject-specific body dynamics as well as the intrasubject variabilities caused by excitation pattern (frequency up-sweep, down-sweep, and white noise, 1–10 Hz), excitation amplitude (1 and 2 m/s2 r.m.s.), seat compliance (rigid and soft), and stomach filling (empty and 500 mL water). Human subjects experiments (n = 3) yielded preliminary results for the frequency response of the head, sternum, and stomach. The method presented here provides the first detailed in vivo characterization of internal and external human body dynamics. Tissue dynamics characterized by the system can inform design of vehicle structures and adaptive control of seat and suspension systems, as well as validate finite element models for predicting passenger comfort in the early stages of vehicle design.

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