Abstract
Abstract. X-ray computed tomography as a measurement system faces some difficulties concerning the quality of the acquired measurements due to energy-dependent interaction of polychromatic radiation with the examined object at hand. There are many different techniques to reduce the negative influences of these artefact phenomena, which is also the aim of this newly introduced method. The key idea is to create several measurements of the same object, which only differ in their orientation inside the ray path of the measurement system. These measurements are then processed to selectively correct faulty surface regions. To calculate the needed geometrical transformations between the different measurements with the goal of a congruent alignment in one coordinate system, an extension of the iterative closest point (ICP) algorithm is used. To quantitatively classify any surface point regarding its quality value to determine the individual need of correction for each point, the local quality value (LQV) method is used, which has been developed at the Institute of Manufacturing Metrology. Different data fusion algorithms are presented whose performances are tested and verified using nominal–actual comparisons.
Highlights
The measurement principle of X-ray computed tomography (CT) makes it possible to determine the distribution of attenuation coefficients of a measurement volume, which is achieved by creating and evaluating a set of radiographs
An important aspect of the solution presented is the qualitative classification of single-surface vertices with the help of the local quality value (LQV) method, which has been developed at the Institute of Measurement Metrology (Fleßner and Hausotte, 2016; Fleßner et al, 2015a)
Hausotte: Weighted surface data fusion of X-ray computed tomography measurements principle behind the presented data fusion routine is to produce several single measurements of a measurement object, which only differ in terms of the location and direction of their rotation axis in the cone beam CT system
Summary
The measurement principle of X-ray computed tomography (CT) makes it possible to determine the distribution of attenuation coefficients of a measurement volume, which is achieved by creating and evaluating a set of radiographs. Hausotte: Weighted surface data fusion of X-ray computed tomography measurements principle behind the presented data fusion routine is to produce several single measurements of a measurement object, which only differ in terms of the location and direction of their rotation axis in the cone beam CT system. These measurements subsequently differ regarding the appearance of artefacts, which allows for selective mathematical combination of measurements to acquire a final measurement result with higher precision and validity
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