Portable Ultrasound Imaging of the Brain for Use in Forward Battlefield Areas

2011 ◽  
Author(s):  
Gregory Clement
Keyword(s):  
Ultrasound Imaging ◽  
Portable Ultrasound ◽  
The Brain

scholarly journals Ultrasound Imaging of the Brain using Full-Waveform Inversion

2020 ◽  
Author(s):  
Ulas Taskin ◽  
Kjersti Solberg Eikrem ◽  
Geir Naevdal ◽  
Morten Jakobsen ◽  
Dirk J. Verschuur ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Waveform Inversion ◽  
Full Waveform Inversion ◽  
Full Waveform ◽  
The Brain

Ultrasound Imaging of the Brain

1992 ◽  
Vol 2 (2) ◽  
pp. 122-122
Author(s):  
William Oldendorf
Keyword(s):  
Ultrasound Imaging ◽  
The Brain

scholarly journals Functional ultrasound imaging of the brain reveals propagation of task-related brain activity in behaving primates

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Alexandre Dizeux ◽  
Marc Gesnik ◽  
Harry Ahnine ◽  
Kevin Blaize ◽  
Fabrice Arcizet ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Brain Activity ◽  
The Brain

PORTABLE ULTRASOUND IMAGING DATA

2013 ◽  
Vol 133 (2) ◽  
pp. 1201
Author(s):  
Alice M. Chiang ◽  
Steven R. Broadstone
Keyword(s):  
Ultrasound Imaging ◽  
Imaging Data ◽  
Portable Ultrasound

scholarly journals High-resolution image reconstruction for portable ultrasound imaging devices

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Ruoyao Wang ◽  
Zhenghan Fang ◽  
Jiaqi Gu ◽  
Yi Guo ◽  
Shicong Zhou ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Ultrasound Imaging ◽  
Portable Devices ◽  
Reconstruction Method ◽  
Ultrasound Images ◽  
Training Procedure ◽  
Generative Adversarial Network ◽  
Portable Ultrasound ◽  
Imaging Quality ◽  
Reconstruction Performance

AbstractPursuing better imaging quality and miniaturizing imaging devices are two trends in the current development of ultrasound imaging. While the first one leads to more complex and expensive imaging equipment, poor image quality is a common problem of portable ultrasound imaging systems. In this paper, an image reconstruction method was proposed to break through the imaging quality limitation of portable devices by introducing generative adversarial network (GAN) model into the field of ultrasound image reconstruction. We combined two GAN generator models, the encoder-decoder model and the U-Net model to build a sparse skip connection U-Net (SSC U-Net) to tackle this problem. To produce more realistic output, stabilize the training procedure, and improve spatial resolution in the reconstructed ultrasound images, a new loss function which combines adversarial loss, L1 loss, and differential loss was proposed. Three datasets including 50 pairs of simulation, 40 pairs of phantom, and 72 pairs of in vivo images were used to evaluate the reconstruction performance. Experimental results show that our SSC U-Net is able to reconstruct ultrasound images with improved quality. Compared with U-Net, our SSC U-Net is able to preserve more details in the reconstructed images and improve full width at half maximum (FWHM) of point targets by 3.23%.

Smartphone-based portable ultrasound imaging system: A primary result

2013 ◽  
Author(s):  
Kyu Cheol Kim ◽  
Min Jae Kim ◽  
Hyun Suk Joo ◽  
Wooyoul Lee ◽  
Changhan Yoon ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Imaging System ◽  
Primary Result ◽  
Portable Ultrasound ◽  
System A

Portable ultrasound imaging system

2009 ◽  
Vol 126 (2) ◽  
pp. 941
Author(s):  
Alice M. Chiang ◽  
Steven R. Broadstone
Keyword(s):  
Ultrasound Imaging ◽  
Imaging System ◽  
Portable Ultrasound
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