scholarly journals Motion Correction For 3D Volumetric Reconstruction from 2D Multi-Slice Stacks in Fetal MRI

2020 ◽  
Vol 2 (5) ◽  
Author(s):  
Bin Chen
2017 ◽  
Vol 36 (10) ◽  
pp. 2031-2044 ◽  
Author(s):  
Amir Alansary ◽  
Martin Rajchl ◽  
Steven G. McDonagh ◽  
Maria Murgasova ◽  
Mellisa Damodaram ◽  
...  

2021 ◽  
Author(s):  
Alena Uus ◽  
Irina Grigorescu ◽  
Milou van Poppel ◽  
Emer Hughes ◽  
Johannes Steinweg ◽  
...  

In fetal MRI, automated localisation of the fetal brain or trunk is a prerequisite for motion correction methods. However, the existing CNN-based solutions are prone to errors and may require manual editing. In this work, we propose to combine a multi-label 3D UNet with a GAN discriminator for localisation of both fetal brain and trunk in fetal MRI stacks. The proposed method is robust for datasets with both full and partial coverage of the fetal body.


2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S622-S622
Author(s):  
Hans R Herzog ◽  
Lutz Tellmann ◽  
Roger Fulton ◽  
Isabelle Stangier ◽  
Elena Rota Kops ◽  
...  
Keyword(s):  

2005 ◽  
Vol 44 (S 01) ◽  
pp. S46-S50 ◽  
Author(s):  
M. Dawood ◽  
N. Lang ◽  
F. Büther ◽  
M. Schäfers ◽  
O. Schober ◽  
...  

Summary:Motion in PET/CT leads to artifacts in the reconstructed PET images due to the different acquisition times of positron emission tomography and computed tomography. The effect of motion on cardiac PET/CT images is evaluated in this study and a novel approach for motion correction based on optical flow methods is outlined. The Lukas-Kanade optical flow algorithm is used to calculate the motion vector field on both simulated phantom data as well as measured human PET data. The motion of the myocardium is corrected by non-linear registration techniques and results are compared to uncorrected images.


Author(s):  
J Scheins ◽  
CR Brambilla ◽  
J Mauler ◽  
E Rota kops ◽  
L Tellmann ◽  
...  
Keyword(s):  

Author(s):  
Wenbing Yun ◽  
Steve Wang ◽  
David Scott ◽  
Kenneth W. Nill ◽  
Waleed S. Haddad

Abstract A high-resolution table-sized x-ray nanotomography (XRMT) tool has been constructed that shows the promise of nondestructively imaging the internal structure of a full IC stack with a spatial resolution better than 100 nm. Such a tool can be used to detect, localize, and characterize buried defects in the IC. By collecting a set of X-ray projections through the full IC (which may include tens of micrometers of silicon substrate and several layers of Cu interconnects) and applying tomographic reconstruction algorithms to these projections, a 3D volumetric reconstruction can be obtained, and analyzed for defects using 3D visualization software. XRMT is a powerful technique that will find use in failure analysis and IC process development, and may facilitate or supplant investigations using SEM, TEM, and FIB tools, which generally require destructive sample preparation and a vacuum environment.


2006 ◽  
Vol 187 (2) ◽  
pp. W247-W247
Author(s):  
Robert C. McKinstry
Keyword(s):  

2010 ◽  
Vol 95 (Supplement 1) ◽  
pp. Fa28-Fa29
Author(s):  
I. Osman ◽  
K. Forbes ◽  
J. Brennand ◽  
A. Cameron ◽  
M. Ledingham
Keyword(s):  

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