Adaptive zooming in X-ray computed tomography.
BACKGROUND
In computed tomography (CT), the source-detector system commonly rotates around the object in a circular trajectory. Such a trajectory does not allow to exploit a detector fully when scanning elongated objects.


OBJECTIVE
Increase the spatial resolution of the reconstructed image by optimal zooming during scanning.


METHODS
A new approach is proposed, in which the full width of the detector is exploited for every projection angle. This approach is based on the use of prior information about the object's convex hull to move the source as close as possible to the object, while avoiding truncation of the projections.


RESULTS
Experiments show that the proposed approach can significantly improve reconstruction quality, producing reconstructions with smaller errors and revealing more details in the object.


CONCLUSIONS
The proposed approach can lead to more accurate reconstructions and increased spatial resolution in the object compared to the conventional circular trajectory.
iMinds-Vision Lab, University of Antwerp, Antwerpen, Belgium.
Andrei
A
Dabravolski
iMinds-Vision Lab, University of Antwerp, Antwerpen, Belgium Centrum Wiskunde & Informatica (CWI), Amsterdam, The Netherlands.
Kees Joost
KJ
Batenburg
iMinds-Vision Lab, University of Antwerp, Antwerpen, Belgium.
Jan
J
Sijbers
D003198:Computer Simulation; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D019047:Phantoms, Imaging; D014057:Tomography, X-Ray Computed / Q000379:methods*
Acquisition geometry; adaptive zooming; computed tomography; prior information