Model-based 3-D LV shape recovery in biplane x-ray angiography: A-priori information learned from CT

2015 ◽  
Author(s):  
Roland Swoboda ◽  
Josef Scharinger ◽  
Clemens Steinwender
Keyword(s):  
Shape Recovery ◽  
A Priori ◽  
A Priori Information ◽  
X Ray ◽  
Model Based ◽  
Priori Information

Using a Priori Information in Energy-Dispersive X-Ray Fluorescence Analysis of Complex Samples

1991 ◽  
Vol 35 (B) ◽  
pp. 1205-1209
Author(s):  
I. A. Kondurov ◽  
P. A. Sushkov ◽  
T. M. Tjukavina ◽  
G. I. Shulyak
Keyword(s):  
High Temperature Superconductors ◽  
A Priori ◽  
Fluorescence Analysis ◽  
A Priori Information ◽  
Complex Samples ◽  
X Ray ◽  
Edxrf Analysis ◽  
The Matrix ◽  
Priori Information

In multielement EDXRF analysis of very complex unknowns, some problems in data evaluation may be simplified if one can take into account a priori information on the properties of the incident and detected radiations, and also available data on the matrix of the sample. The number of variables can be drastically shortened in the LSM procedures in this case. One of the best examples of complex unknowns is the determination of the rare earth element content of ores, and most recently in samples of high temperature superconductors (HiTc).

Reproduction of the shape of nanodisperse particles from small-angle X-ray scattering data without use of a priori information

2006 ◽  
Vol 411 (1) ◽  
pp. 202-205 ◽  
Author(s):  
A. N. Ozerin ◽  
A. M. Muzafarov ◽  
L. A. Ozerina ◽  
D. S. Zavorotnyuk ◽  
I. B. Meshkov ◽  
...  
Keyword(s):  
Small Angle ◽  
A Priori ◽  
Scattering Data ◽  
A Priori Information ◽  
X Ray ◽  
X Ray Scattering ◽  
Priori Information ◽  
Nanodisperse Particles ◽  
Ray Scattering

Reconstruction of dynamic objects with affine deformations in computerized tomography

2014 ◽  
Vol 22 (3) ◽  
Author(s):  
Bernadette Hahn
Keyword(s):  
Image Analysis ◽  
Computerized Tomography ◽  
A Priori ◽  
Special Focus ◽  
Data Sets ◽  
Reconstruction Method ◽  
A Priori Information ◽  
Motion Artefacts ◽  
X Ray ◽  
Priori Information

Abstract.The data acquisition in computerized tomography takes a certain amount of time since the x-ray source has to be rotated around the specimen. An object that changes during the scanning causes inconsistent data sets. To avoid the motion artefacts in reconstructions, the algorithm has to take the dynamic behavior of the specimen into account. In this context, some a priori information about the movement is required. A reconstruction method is proposed that compensates for the motion with a special focus on affine deformations. It also permits the combination of reconstruction and image analysis tools to extract features of the object without motion artefacts. The algorithm is validated with a numerical example from medical imaging.

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