scholarly journals Sharing object models for multi-modality medical image simulation: A semantic approach

Author(s):  
Germain Forestier ◽  
Adrien Marion ◽  
Hugues Benoit-Cattin ◽  
Patrick Clarysse ◽  
Denis Friboulet ◽  
...  
2014 ◽  
Vol 52 ◽  
pp. 279-292 ◽  
Author(s):  
Bernard Gibaud ◽  
Germain Forestier ◽  
Hugues Benoit-Cattin ◽  
Frédéric Cervenansky ◽  
Patrick Clarysse ◽  
...  

Author(s):  
Bernard Gibaud ◽  
Germain Forestier ◽  
Hugues Benoit-Cattin ◽  
Frederic Cervenansky ◽  
Patrick Clarysse ◽  
...  

2013 ◽  
Vol 32 (1) ◽  
pp. 110-118 ◽  
Author(s):  
T. Glatard ◽  
C. Lartizien ◽  
B. Gibaud ◽  
Rafael Ferreira da Silva ◽  
G. Forestier ◽  
...  

Author(s):  
F. Aubry ◽  
V. Chameroy ◽  
F. Lavaire ◽  
J. P. Ramond ◽  
I. E. Saidane ◽  
...  

Author(s):  
Adrien Marion ◽  
Germain Forestier ◽  
Hugues Benoit-Cattin ◽  
Sorina Camarasu-Pop ◽  
Patrick Clarysse ◽  
...  

Author(s):  
Y. Ishida ◽  
H. Ishida ◽  
K. Kohra ◽  
H. Ichinose

IntroductionA simple and accurate technique to determine the Burgers vector of a dislocation has become feasible with the advent of HVEM. The conventional image vanishing technique(1) using Bragg conditions with the diffraction vector perpendicular to the Burgers vector suffers from various drawbacks; The dislocation image appears even when the g.b = 0 criterion is satisfied, if the edge component of the dislocation is large. On the other hand, the image disappears for certain high order diffractions even when g.b ≠ 0. Furthermore, the determination of the magnitude of the Burgers vector is not easy with the criterion. Recent image simulation technique is free from the ambiguities but require too many parameters for the computation. The weak-beam “fringe counting” technique investigated in the present study is immune from the problems. Even the magnitude of the Burgers vector is determined from the number of the terminating thickness fringes at the exit of the dislocation in wedge shaped foil surfaces.


Author(s):  
E. J. Kirkland

In a STEM an electron beam is focused into a small probe on the specimen. This probe is raster scanned across the specimen to form an image from the electrons transmitted through the specimen. The objective lens is positioned before the specimen instead of after the specimen as in a CTEM. Because the probe is focused and scanned before the specimen, accurate annular dark field (ADF) STEM image simulation is more difficult than CTEM simulation. Instead of an incident uniform plane wave, ADF-STEM simulation starts with a probe wavefunction focused at a specified position on the specimen. The wavefunction is then propagated through the specimen one atomic layer (or slice) at a time with Fresnel diffraction between slices using the multislice method. After passing through the specimen the wavefunction is diffracted onto the detector. The ADF signal for one position of the probe is formed by integrating all electrons scattered outside of an inner angle large compared with the objective aperture.


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