Application of deep learning reconstruction combined with Smart metal artifact removal algorithm in head and neck CT angiography of patients with oral metal implants
Aim:To investigate the value of deep learning reconstruction(DLR)combined with Smart metal artifact re-moval(Smart MAR)algorithm in improving neck image quality of head and neck CT angiography(CTA)of patients with o-ral metal implants.Methods:A total of 70 patients with non-removable oral metal implants undergoing head and neck CTA at the First Affiliated Hospital of Zhengzhou University from February to June 2023 were selected.Three reconstruction algo-rithms were used:adaptive statistical iterative reconstruction(ASIR-V)50％algorithm(IR group),ASIR-V50％combined with Smart MAR algorithm(IR-S group),and high-level deep learning reconstruction(DLR)combined with Smart MAR al-gorithm(DLR-S group).The standard deviation(SD)of the CT values in the C1 segment of the internal carotid artery unaf-fected by artifacts(ROI2)and the head clasp muscle(ROI4)were measured as SD2 and SD4,respectively.Metal artifact index(AI)1 and AI2 of the C1 segment of the internal carotid artery and tongue were calculated.Image quality scores for the C1 segment of the internal carotid artery and the overall oral cavity were assessed.Results:Compared with the IR and IR-S groups,the DLR-S group showed lower SD2 and SD4(P＜0.05);compared with the IR group,the IR-S and DLR-S groups exhibited reduced AI1 and AI2(P＜0.05);compared with the IR-S group,the DLR-S group showed further reduc-tion in AI1 and AI2(P＜0.05).Overall image quality and C1 segment image quality scores were higher in the IR-S and DLR-S groups compared with the IR group,and higher in the DLR-S group compared with the IR-S group(P＜0.05).New artifacts were observed on the tongue in 9 patients.Conclusion:The combination of Smart MAR and DLR can reduce oral metal artifacts caused by oral metal implants and improve the image quality of the C1 segment of the internal carotid artery and the oral cavity in patients undergoing head and neck CTA.However,Smart MAR algorithm may introduce new artifacts,necessitating analyzing images not incorporating Smart MAR.
deep learning reconstructionoral metal implantmetal artifactCT angiographySmart metal artifact re-moval algorithm
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维普
