Impact of number of projections on image quality of X-ray Computed Tomography

Abstract

Background and Aims: This research aims to find the image quality of the computed tomography (CT) imaging technique, in terms of noise as a function of the number of projections. Methods: The X-ray Computed Tomography set is started using the rocker switch and the MeasureCT32 program is allowed to run, all devices at two different projections (20 and 300) are implemented. Results: The results of the experiment made clear that increasing the number of projections effectively reconstructs high-quality images in CT image reconstructions, e.g. when implementing 300 projections. This was also clarified with a lower number of projections giving reduced quality of the image, as shown in 20 projections. Conclusions: As increasing, the number of projections that leads to obtain high-quality images, clearer, and less noisy in CT image reconstructions as shown in 300 projections. Thus, reducing the number of projections results in reducing image quality.

References

1. 1.Bauhs JA, Vrieze TJ, Primak AN, Bruesewitz MR, McCollough CH. CT dosimetry: comparison of measurement techniques and devices. Radiographics. 2008 Jan-Feb;28(1):245-53. doi: 10.1148/rg.281075024. PMID: 18203941. doi:10.1148/rg.281075024
2. 2.Xuanhao Z, Lijuan S, Bo W, Bing P. Effect of the number of projections in X-ray CT imaging on image quality and digital volume correlation measurement. Measurement. 2022 May 15;194:111061.
3. 3.Bunker G. X-ray absorption spectrometers. Encyclopaedia of Spectroscopy and Spectrometry2017;610–6. doi:10.1016/b978-0-12-409547- 2.05066-6. doi:10.1016/b978-0-12-409547-
4. 4.Kumar N, Nachamai M. Noise removal and filtering techniques used in medical images. Orient. J. Comput. Sci. Technol. 2017 Mar 28;10(1):103-13.
5. 5.Karatas OH, Toy E. Three-dimensional imaging techniques: A literature review. European journal of dentistry. 2014 Jan;8(01):132-40.
6. 6.Liu X, Shaw CC. Rejection and redistribution of scattered radiation in Scan Equalization Digital Radiography (SEDR): simulation with spot images. Medical physics. 2007 Jul;34(7):2718-
7. 7.Potts DG, Newton TH. Technical aspects of computed tomography. St. Louis: Mosby; 1981.
8. 8.BuiAA,Taira RK, editors. Medical imaging informatics. Springer Science & Business Media; 2009.
9. 9.Davies ER. Image filtering and morphology. In Computer Vision (Fifth Edition) 2018 (pp. 39-92). Academic Press. 10.Mahesh M. The essential physics of medical imaging. Medical physics. 2013;40(7):077301. 11.RoseS,AndersenMS,SidkyEY,PanX. Noise properties of CT images reconstructedbyuseofconstrainedtotal-variation, data-discrepancy minimization. Medical physics. 2015;42(5):2690-8. 12.Xuanhao Z, Lijuan S, Bo W, Bing P. Effect of the number of projections in X-ray CT imaging on image quality and digital volume correlation measurement. Measurement. 2022 May 15;194:111061 13.Salek MF, Beckingham LE. Effect of X-Ray Computed Tomography Imaging Parameters on Quantification of Petrophysical Properties. Earth and Space Science. 2023 Oct;1THE 0(10):e2023EA003095.