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RIS citation export for THPHA197: A Sub-Pixel Automated Feature-Based Alignment for Tomography Experiments

TY - CONF
AU - Vasconcelos, G.J.Q.
AU - Costa, G.S.R.
AU - Miqueles, E.X.
ED - Schaa, Volker RW
ED - Costa, Isidre
ED - Fernández, David
ED - Matilla, Óscar
TI - A Sub-Pixel Automated Feature-Based Alignment for Tomography Experiments
J2 - Proc. of ICALEPCS2017, Barcelona, Spain, 8-13 October 2017
C1 - Barcelona, Spain
T2 - International Conference on Accelerator and Large Experimental Control Systems
T3 - 16
LA - english
AB - Three-dimensional image reconstruction in X-ray computed tomography (XRCT) is a mathematical process that entirely depends on the alignment of the object of study. Small variations in pitch and roll angles and translational shift between center of rotation and center of detector can cause large deviations in the captured sinogram, resulting in a degraded 3D image. Most of the popular reconstruction algorithms are based on previous adjustments of the sinogram ray offset before the reconstruction process. This work presents an automatic method for shift and angle adjust of the center of rotation (COR) before the beginning of the experiment removing the need of setting geometrical parameters to achieve a reliable reconstruction. This method correlates different projections using Scale Invariant Feature Transform algorithm (SIFT) to align the experimental setup with sub-pixel precision and fast convergence.
PB - JACoW
CP - Geneva, Switzerland
SP - 1911
EP - 1915
KW - ion
KW - alignment
KW - detector
KW - experiment
KW - synchrotron
DA - 2018/01
PY - 2018
SN - 978-3-95450-193-9
DO - 10.18429/JACoW-ICALEPCS2017-THPHA197
UR - http://jacow.org/icalepcs2017/papers/thpha197.pdf
ER -