Model-data-driven Image Reconstruction with Neural Networks for Ultrasound Computed Tomography Breast Imaging

2021 ◽  
Author(s):  
Yuling Fan ◽  
Hongjian Wang ◽  
Hartmut Gemmeke ◽  
Torsten Hopp ◽  
Juergen Hesser
2019 ◽  
Vol 28 (4) ◽  
pp. 805-816 ◽  
Author(s):  
Ruijing Li ◽  
Houjin Chen ◽  
Yahui Peng ◽  
Jupeng Li

2011 ◽  
Vol 38 (6Part30) ◽  
pp. 3776-3776
Author(s):  
M Andre ◽  
H Ojeda-Fournier ◽  
L Olson ◽  
J Wiskin ◽  
D Borup

2010 ◽  
Vol 31 (06) ◽  
pp. 604-609 ◽  
Author(s):  
M. Hollenhorst ◽  
C. Hansen ◽  
N. Hüttebräuker ◽  
A. Schasse ◽  
L. Heuser ◽  
...  

Author(s):  
Mailyn Perez-Liva ◽  
Joaquin L. Herraiz ◽  
Luis Medina-Valdes ◽  
Jorge Camacho ◽  
Carlos Fritsch ◽  
...  

Materials ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5114
Author(s):  
Monika Zielińska ◽  
Magdalena Rucka

This paper concerns the inspection of steel plates, with particular emphasis on the assessment of increasing damage. Non-destructive tests were performed on four plates, one of which was undamaged, while the remaining three had defects in the form of circular holes with diameters of 2, 5 and 10 cm. Guided Lamb waves were used in the research, and the image reconstruction was performed using ultrasound computed tomography. The damage size was estimated by tracking the real course of rays and densifying the pixel grid into which the object was divided. The results showed the great potential of ultrasound tomography in detecting defects in steel elements, together with the possibility of estimating damage size.


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