Cone beam CT imaging of the paranasal region with a multipurpose X-ray system-image quality and radiation exposure

Ohlmeyer S, Saake M, Buder T, May M, Uder M, Wüst W (2020)


Publication Type: Journal article

Publication year: 2020

Journal

Book Volume: 10

Article Number: 5876

Journal Issue: 17

DOI: 10.3390/app10175876

Abstract

Besides X-ray and fluoroscopy, a previously introduced X-ray scanner offers a 3D cone beam option (Multitom Rax, Siemens Healthcare). The aim of this study was to evaluate various scan parameters and post-processing steps to optimize image quality and radiation exposure for imaging of the parasinus region. Four human cadaver heads were examined with different tube voltages (90-121 kV), dose levels (DLs) (278-2180 nGy) and pre-filtration methods (none, Cu 0.2 mm, Cu 0.3 mm and Sn 0.4 mm). All images were reconstructed in 2 mm slice thickness with and without a metal artifact reduction algorithm in three different kernels. In total, 80 different scan protocols and 480 datasets were evaluated. Image quality was rated on a 5-point Likert scale. Radiation exposure (mean computed tomography volume index (CTDIvol) and effective dose) was calculated for each scan. The most dose-effective combination for the diagnosis of sinusitis was 121 kV/DL of 278/0.3 mm copper (CTDIvol 1.70 mGy, effective dose 77 μSv). Scan protocols with 121 kV/DL1090/0.3 mm copper were rated sufficient for preoperative sinus surgery planning (CTDIvol 4.66 mGy, effective dose 212 μSv). Therefore, sinusitis and preoperative sinus surgery planning can be performed in diagnostic image quality at low radiation dose levels with a multipurpose X-ray system.

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How to cite

APA:

Ohlmeyer, S., Saake, M., Buder, T., May, M., Uder, M., & Wüst, W. (2020). Cone beam CT imaging of the paranasal region with a multipurpose X-ray system-image quality and radiation exposure. Applied Sciences, 10(17). https://doi.org/10.3390/app10175876

MLA:

Ohlmeyer, Sabine, et al. "Cone beam CT imaging of the paranasal region with a multipurpose X-ray system-image quality and radiation exposure." Applied Sciences 10.17 (2020).

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