Effect of metal artifact reduction software on image quality of C-arm cone-beam computed tomography during intracranial aneurysm treatment. Issue 3 (June 2018)

• Record Type: Journal Article
• Authors: Enomoto, Yukiko; Yamauchi, Keita; Asano, Takahiko; Otani, Katharina; Iwama, Toru
• Is Part Of: Interventional neuroradiology. Volume 24:Issue 3(2018:Jun.)
• Page Start: 303
• Page End: 308
• Publication Date: 2018-06
• Subjects: Cone-beam computed tomography -- endovascular treatment -- cerebral aneurysm; Nervous system -- Interventional radiology -- Periodicals; Nervous system -- Radiography -- Periodicals; Nervous System Diseases -- Periodicals -- radiography; Neuroradiography -- Periodicals; Radiography, Interventional -- Periodicals; Nervous system -- Radiography; Periodicals; 617.4805
• DOI: 10.1177/1591019917754039
• Languages: English
• ISSNs: 1591-0199

Abstract

Background and purpose: C-arm cone-beam computed tomography (CBCT) has the drawback that image quality is degraded by artifacts caused by implanted metal objects. We evaluated whether metal artifact reduction (MAR) prototype software can improve the subjective image quality of CBCT images of patients with intracranial aneurysms treated with coils or clips. Materials and methods: Forty-four patients with intracranial aneurysms implanted with coils (40 patients) or clips (four patients) underwent one CBCT scan from which uncorrected and MAR-corrected CBCT image datasets were reconstructed. Three blinded readers evaluated the image quality of the image sets using a four-point scale (1: Excellent, 2: Good, 3: Poor, 4: Bad). The median scores of the three readers of uncorrected and MAR-corrected images were compared with the paired Wilcoxon signed-rank and inter-reader agreement of change scores was assessed by weighted kappa statistics. The readers also recorded new clinical findings, such as intracranial hemorrhage, air, or surrounding anatomical structures on MAR-corrected images. Results: The image quality of MAR-corrected CBCT images was significantly improved compared with the uncorrected CBCT image ( p < 0.001). Additional clinical findings were seen on CBCT images of 70.4% of patients after MAR correction. Conclusion: MAR software improved image quality of CBCT images degraded by metal artifacts.