Reconstruction of dynamic objects with affine deformations in computerized tomography

Author(s):  
Bernadette Hahn

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.

1991 ◽  
Vol 35 (B) ◽  
pp. 1205-1209
Author(s):  
I. A. Kondurov ◽  
P. A. Sushkov ◽  
T. M. Tjukavina ◽  
G. I. Shulyak

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).


2016 ◽  
Author(s):  
Nicolas Le Touz ◽  
Jean Dumoulin ◽  
Gianluca Gennarelli ◽  
Francesco Soldovieri

Abstract. In this study, we present a numerical inversion approach to detect and localize inclusions in thick walls under natural solicitations. The approach is based on a preliminary analysis of the surface temperature field evolution with time (for instance acquired by infrared thermography); after, this analysis is improved by taking advantage of a priori information provided by ground penetrating radar reconstructions of the structure under investigation. In this way, it is possible to improve the accuracy of the images achievable with the stand-alone thermal reconstruction method in the case of quasi-periodic natural excitation.


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