1. Vaid S, Vaid N. Normal anatomy and anatomic variants of the paranasal sinuses on computed tomography. Neuroimaging Clin N Am. 2015;25(4): 527-548. doi:10.1016/j.nic.2015.07.002
2. Agcayazi S, Salcan I, Ersahan AA, Seckin E. Sinonasal anatomic variations in the adult population: CT examination of 1200 patients. Niger J Clin Pract. 2024;27(8):990-994. doi:10.4103/njcp.njcp_275_24
3. Geyer LL, Schoepf UJ, Meinel FG, et al. State of the art: iterative CT reconstruction techniques. Radiology. 2015;276(2):339-357. doi:10.1148/radiol.2015132766
4. Angel E. AIDR 3D Iterative Reconstruction: Integrated, Automated and Adaptive Dose Reduction. https://us.medical.canon/download/rxl-wp-aidr-3d-iterative-reconstruction
5. Kuusisto N, Hirvonen J, Suominen A, et al. Retrospective analysis of artifacts in cone beam computed tomography images used to diagnose chronic rhinosinusitis. Diagnostics (Basel). 2023;13(9):1511. doi:10.3390/diagnostics13091511
6. Katsura M, Sato J, Akahane M, Kunimatsu A, Abe O. Current and novel techniques for metal artifact reduction at CT: practical guide for radiologists. Radiographics. 2018;38(2):450-461. doi:10.1148/rg.2018170 102
7. Nagayama Y, Tanoue S, Oda S, et al. Metal artifact reduction in head CT performed for patients with deep brain stimulation devices: effectiveness of a single-energy metal artifact reduction algorithm. AJNR Am J Neuroradiol. 2020;41(2):231-237. doi:10.3174/ajnr.A6375
8. Schaafs LA, Lenk J, Hamm B, Niehues SM. Reducing the dose of CT of the paranasal sinuses: potential of an iterative reconstruction algorithm. Dentomaxillofac Radiol. 2016;45(7):20160127. doi:10.1259/dmfr.20160127
9. Bulla S, Blanke P, Hassepass F, et al. Reducing the radiation dose for low-dose CT of the paranasal sinuses using iterative reconstruction: feasibility and image quality. Eur J Radiol. 2012;81(9):2246-2250. doi:10. 1016/j.ejrad.2011.05.002
10. Schulz B, Beeres M, Bodelle B, et al. Performance of iterative image reconstruction in CT of the paranasal sinuses: a phantom study. AJNR Am J Neuroradiol. 2013;34(5):1072-1076. doi:10.3174/ajnr.A3339
11. Wu D, Wang G, Bian B, Liu Z, Li D. Benefits of low-dose CT scan of head for patients with intracranial hemorrhage. Dose Response. 2020;19(1): 1559325820909778. doi:10.1177/1559325820909778
12. Bongartz G. European Guidelines on Quality Criteria for Computed Tomography. Office for Official Publications of the European Communities; 2000.
13. Shao YH, Tsai K, Kim S, Wu YJ, Demissie K. Exposure to tomographic scans and cancer risks. JNCI Cancer Spectr. 2020;4(1):pkz072. doi:10. 1093/jncics/pkz072
14. Bosch de Basea Gomez M, Thierry-Chef I, Harbron R, et al. Risk of hematological malignancies from CT radiation exposure in children, adolescents and young adults. Nat Med. 2023;29(12):3111-3119. doi:10. 1038/s41591-023-02620-0
15. Medicine AAoPi. The measurement, reporting, and management of radiation dose in CT. AAPM report; 2008.
16. Nauer CB, Kellner-Weldon F, Von Allmen G, Schaller D, Gralla J. Effective doses from scan projection radiographs of the head: impact of different scanning practices and comparison with conventional radiography. AJNR Am J Neuroradiol. 2009;30(1):155-159. doi:10.3174/ajnr.A1293
17. Konen E, Faibel M, Kleinbaum Y, et al. The value of the occipitomental (Waters’) view in diagnosis of sinusitis: a comparative study with computed tomography. Clin Radiol. 2000;55(11):856-860. doi:10.1053/crad.2000.0550
18. Shrestha MK, Ghartimagar D, Ghosh A, Jhunjhunwala AK. Sensitivity of sinus radiography compared to computed tomogram: a descriptive cross-sectional study from western region of Nepal. JNMA J Nepal Med Assoc. 2020;58(224):214-217. doi:10.31729/jnma.4824
19. Chen XF, Zhang YC, Ding N, et al. Radiation dose reduction and image quality in pediatric paranasal sinus CT: with automatic tube current modulation and iterative reconstruction technique. Radiat Prot Dosimetry. 2024;200(15):1470-1476. doi:10.1093/rpd/ncae192
20. Chi J, Xu D, Yin S, et al. Reducing the radiation dose of pediatric paranasal sinus CT using an ultralow tube voltage (70 kVp) combined with iterative reconstruction: feasibility and image quality. Medicine (Baltimore). 2020;99(34):e21886. doi:10.1097/MD.0000000000021886
21. Subhas N, Pursyko CP, Polster JM, et al. Dose reduction with dedicated CT metal artifact reduction algorithm: CT phantom study. AJR Am J Roentgenol. 2018;210(3):593-600. doi:10.2214/AJR.17.18544
22. Diklic A, Valkovic Zujic P, Segota D, et al. Optimization of paranasal sinus CT procedure: Ultra-low dose CT as a roadmap for pre-functional endoscopic sinus surgery. Phys Med. 2020;78:195-200. doi:10.1016/j.ejmp.2020.09.014
23. Chou R, Li JH, Ying LK, Lin CH, Leung W. Quantitative assessment of three vendor’s metal artifact reduction techniques for CT imaging using a customized phantom. Comput Assist Surg (Abingdon). 2019;24(sup2): 34-42. doi:10.1080/24699322.2019.1649075
</ol>
<p>