Evaluation of a Micro CT scan system based on digital image correlation profile

Alfieta Rohmaful Aeni; Gede Bayu Suparta

doi:10.31101/ijhst.v3i2.2265

Authors

Alfieta Rohmaful Aeni Universitas Aisyiyah Yogyakarta https://orcid.org/0000-0001-8945-6394
Gede Bayu Suparta Universitas Gadjah Mada

DOI:

https://doi.org/10.31101/ijhst.v3i2.2265
Abstract views 614 times

Keywords:

CT Scan, radiograph, multiple images, digital image correlation

Abstract

The centre of rotation position is a factor that needs to be controlled to avoid artefact in CT scan. A method to evaluate the performance of CT system is needed. The method is developed using x-ray micro-CT system and evaluated based on Digital Image Correlation (DIC). The method of this research is experiment. Â The multiple radiographs are obtained from scanning object by simulation and experiment. The results show that the ideal DIC profile value of radiograph image from simulation is a constant straight line for every size variation of the object. However, from the experiment, the result show deviation toward â€“y for every size variation of the object that indicate the shift of COR position in micro-CT system. The result also similar using centre of mass profile value as comparison.Â

Author Biography

Alfieta Rohmaful Aeni, Universitas Aisyiyah Yogyakarta

Department of Radiology

References

Buzug, T.M. (2008). Computed Tomography From Photon Statistics to Modern Cone-Beam. Berlin. Springer

Brunetti dan Carlo, F. (2004). A Robust Procedure for Determination of Center of Rotation in Tomography. Proceeding of SPIE (5535), 652-659.

Bartscher, M. Hilpert. U & Fiedler, D. (2008). Determination of the measurement uncertainty of computed tomography measurement using a cylindrical head as an example, Technishes Messen, 75 (3) 178-186.

Chiffre, L. D., Carmignato, S., Kruth, J., Schmitt R. dan Wekenmann, A. (2014). Industrial Applications of Computed Tomography, CIRP Annals â€“ Manufacturing Technology (63), 655-677.

Donath, T., Backmann, F. dan Schereyer, A., 2006, Automated Determination of the Center of Rotation in Tomographyc Data, J. Optic Society of America, 23, 1048-1056.

Ferrucci, M., Ametova, E., Carmignato, S. dan Dewulf, W., 2016, Evaluating The Effects of Detector Angular Misalignments on Simulated Computed Tomography Data, Precision Engineering, 45, 230-241.

Ferrucci, M., Hermanek, P., Ametova, E. dan Carmignato, S., 2018, Measurement of The X-Ray Computed Tomography Instrument Geometry by Minimization of Reprojection Errors â€“ Implemented on Simulated Data, Pricision Engineering, 54, 7-20.

Harial, R. dan Ramji, M., 2014, Adaptation of Open Source 2D DIC Software Ncorr for Solid Mechanics Applications, 9th International Symposium on Advanced Science and Technology in Experimental Mechanics, New Delhi.

Mees, F., Swennen, R., Van Geet, M. dan Jacobs P. (2003). Applications of X-Ray Computed Tomography in Geosciences. The Geolgical Society of London (215), 1-6.

Mudassar, A.A. dan Butt, S. 2016. Improved Digital Image Correlation Method. Optics and Laser in Engineering (87), 156-167.

Neto, A. M., Victorino, A. C., Fantoni, I., Zampieri, D.E. dan Lima, D.A., 2013, Image Processing Using Pearsonâ€™s Correlation Coefficient: Application on Autonomous Robotic, 13th International Conference and Competitions (Robotica), Lisbon.

Nugroho, W. (2003). Metoda Pengukuran Sensitivitas Perangkat Tomografi Komputer. Thesis, UGM, Yogyakarta.

Prince, J.L. dan Links, J. M. (2015). Medical Imaging Signals and Systems 2nd Edition. Pearson Prentice Hall, USA.

Sun, Y., Hou, Y., Zhao, Jiasheng. H. (2006). Calibration of Misalignment Scanner Geometry in Cone Beam Computed Tomography. NDT & E international (39), 499-513.

Yang, M., Pan, J., Zhang, J., Song, S., Meng, F., Li, X. dan Wei, D. (2013) Center of Rotation Automatic Measurement for Fan-beam CT System Based on Sinogram Image Features, Neurocomputing (120), 250-257.

Wu, X. dan Schepartz, L. A. (2009). Application of Computed Tomography in Paleoantrhopological Research. Progress in Natural Science (19), 913-921.

Vo, N. T., Drakopoulos, M., Atwood, R. C. dan Reinhard, C., 2014, Reliable Method for Calculating The Center of Rotation in Parallel-beam Tomography, Optical Society of America, 22, 16.

Zhao, J., Hu, X., Zou, J., Zhao, G., Lv, H., Xu, L., Xu, Y. dan Hu, X., 2016, Method for Correction of Rotation Errors in Micro-CT System, Nuclear Instruments and Methods in Physics Research A, 816, 149-159.

Zhao, X., Wen, Y., Zhao, J. dan Zhao, D., 2018, Study of The Quality of Wood Texture Patterns in Digital Image Correlation, Optik, 171, 370-376.

Zhong, F. dan Quan, C., 2018, Efficient Digital Image Correlation Using Gradient Orientation, Optics and Laser Technology, 106, 417-426.