Evaluation of CT Image Quality Based on Signal-to-Noise Ratio in Axial and Helical Scanning Modes with Tube Current Variation

Fitria Helmiza, Wahyu Setia Budi, Ali Khumaeni, Arnefia Mei Yusnida

Abstract


This study aims to evaluate computed tomography (CT) image quality based on the signal-to-noise ratio (SNR) parameter across two scanning modes: axial and helical. An anthropomorphic head phantom was scanned using a Siemens Healthineers Somatom go.Top CT system. The evaluation was conducted using tube current variations of 100 mAs, 200 mAs, and 300 mAs for each scanning mode. This approach was employed to investigate the influence of tube current variation on image quality and to identify the optimal parameter combination that yields the highest image quality. The results demonstrated a consistent increase in SNR with rising tube current for both scanning modes. However, the helical mode tended to produce higher SNR values compared to the axial mode at equivalent tube currents. These findings suggest that the helical mode is superior in producing better-quality images in terms of SNR. This study may serve as a reference for selecting technical imaging parameters to achieve optimal CT image quality. The conclusion indicates that the helical mode at 300 mAs provided the highest image quality, with the highest SNR value of 4.79 and the lowest noise level of 4.43 HU. Nonetheless, it should be noted that higher tube current also leads to increased radiation dose, thus clinical application should be tailored according to patient-specific needs.

Keywords: CT scan, signal-to-noise ratio, image quality, axial mode, helical mode, tube current.


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References


Bushberg, J. T., Seibert, J. A., Leidholdt, E. M., & Boone, J. M. (2012). The Essential Physics of Medical Imaging. Lippincott Williams & Wilkins.

Kalender, W. A. (2011). Computed Tomography: Fundamentals, System Technology, Image Quality, Applications. Wiley-VCH.

McCollough, C. H., Primak, A. N., Braun, N., Kofler, J., Yu, L., & Christner, J. (2009). Strategies for reducing radiation dose in CT. Radiologic Clinics of North America, 47(1), 27–40.

Crawford, C. R., & King, K. F. (2013). Computed Tomography: Principles, Design, Artifacts, and Recent Advances. SPIE Press.

ICRP. (2007). The 2007 Recommendations of the International Commission on Radiological Protection. ICRP Publication 103.

Goldman, L. W. (2007). Principles of CT and CT technology. Journal of Nuclear Medicine Technology, 35(3), 115–128.

Riyanto, A., Sumarna, D., & Pranoto, H. (2019). The Effect of mAs Variation on Noise and Low-Contrast Resolution in CT Scan Imaging. Berkala Fisika, 22(2), 92–98.

Herlinda, H., Wibisono, G., & Yuniarti, N. (2019). The Effect of Tube Voltage and Current Variation on Noise and Uniformity in CT Imaging. JPOSITRON, 9(2), 65–70.

Seeram, E. (2015). Computed Tomography: Physical Principles, Clinical Applications, and Quality Control. Elsevier Health Sciences.

Silva, A. C., Lawder, H. J., Hara, A., Kujak, J., & Pavlicek, W. (2010). Innovations in CT dose reduction strategy: Application of the adaptive statistical iterative reconstruction algorithm. American Journal of Roentgenology, 194(1), 191–199.

Leipsic, J., LaBounty, T. M., Heilbron, B., Min, J. K., Mancini, G. J., Lin, F. Y., Taylor, C., Dunning, A., & Earls, J. P. (2010). Adaptive statistical iterative reconstruction: Assessment of image noise and image quality in coronary CT angiography. American Journal of Roentgenology, 195(3), 649–654.

Mori, S., Endo, M., Nishizawa, K., Tsunoo, T., Miyazaki, H., & Fujiwara, H. (2005). Physical performance comparison between axial and helical scan modes in multislice CT. Medical Physics, 32(5), 1500–1507.

Willemink, M. J., & Noël, P. B. (2019). The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence. European Radiology, 29(5), 2185–2195.

Solomon, J., Mileto, A., Ramirez-Giraldo, J. C., & Samei, E. (2015). Diagnostic performance of an advanced modeled iterative reconstruction algorithm for low-contrast detectability with a third-generation dual-source multidetector CT scanner: Potential for radiation dose reduction in a multireader study. Radiology, 275(3), 735–745.




DOI: http://dx.doi.org/10.52155/ijpsat.v51.1.7247

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