Yu-Ning Pan1, Ge Chen2, Ai-Jing Li3, Zhao-Qian Chen1, Xiang Gao4, Yi Huang4, Bradley Mattson5, Shan Li5. 1. Department of Radiology, Ningbo First Hospital, Ningbo Hospital, Zhejiang University, 315010, Ningbo, Zhejiang, China. 2. Department of Clinical medical engineering Ningbo First Hospital, Ningbo Hospital, Zhejiang University, 315010, Ningbo, Zhejiang, China. 3. Department of Radiology, Ningbo No. 2 Hospital, 315010, Ningbo, Zhejiang, China. lajnbey@163.com. 4. Department of Neurosurgery, Ningbo First Hospital, Ningbo Hospital, Zhejiang University, 315010, Ningbo, Zhejiang, China. 5. Department of Radiology, Baystate Medical Center, University of Massachusetts School of Medicine, 01199, Springfield, MA, USA.
Abstract
PURPOSE: This study evaluated the quality of computed tomography (CT) and CT angiography images generated using the single-energy metal artifact reduction (SEMAR) algorithm during perfusion examination in patients who had undergone reconstruction with neurosurgical clipping or endovascular coiling for treatment of aneurysms. METHODS: A total of 55 patients with implanted intracranial clips or coils (24 men and 31 women; mean age 60.15 ± 15.86 years) underwent perfusion studies evaluated by CT and CT angiography with a 320-row CT scanner. Images were reconstructed with either the SEMAR algorithm combined with iterative reconstruction (SEMAR group), or by iterative reconstruction only (non-SEMAR group control). The SEMAR and control images were compared for artifacts (index and maximum diameter), image quality, cerebral perfusion parameters, noise (images with the worst artifacts), and contrast-to-noise ratio. The metallic artifacts were visually evaluated by two radiologists using a four-point scale in a double-blinded manner. RESULTS: The noise, artifact diameter, and artifact index of the SEMAR images were significantly lower than that of the control images, and the subjective image quality score and contrast-to-noise ratio were significantly higher (P < 0.01, all). The cerebral perfusion parameters of the SEMAR and control images were comparable (i. e. blood flow, blood volume, and mean transit time). CONCLUSION: For imaging intracranial metallic implants, the SEMAR algorithm produced images with significantly fewer artifacts than the iterative reconstruction alone, with no statistical changes in perfusion parameters. Thus, SEMAR reconstruction can be instrumental in improving CT image quality and may ultimately improve the detection of postoperative complications and patient prognosis.
PURPOSE: This study evaluated the quality of computed tomography (CT) and CT angiography images generated using the single-energy metal artifact reduction (SEMAR) algorithm during perfusion examination in patients who had undergone reconstruction with neurosurgical clipping or endovascular coiling for treatment of aneurysms. METHODS: A total of 55 patients with implanted intracranial clips or coils (24 men and 31 women; mean age 60.15 ± 15.86 years) underwent perfusion studies evaluated by CT and CT angiography with a 320-row CT scanner. Images were reconstructed with either the SEMAR algorithm combined with iterative reconstruction (SEMAR group), or by iterative reconstruction only (non-SEMAR group control). The SEMAR and control images were compared for artifacts (index and maximum diameter), image quality, cerebral perfusion parameters, noise (images with the worst artifacts), and contrast-to-noise ratio. The metallic artifacts were visually evaluated by two radiologists using a four-point scale in a double-blinded manner. RESULTS: The noise, artifact diameter, and artifact index of the SEMAR images were significantly lower than that of the control images, and the subjective image quality score and contrast-to-noise ratio were significantly higher (P < 0.01, all). The cerebral perfusion parameters of the SEMAR and control images were comparable (i. e. blood flow, blood volume, and mean transit time). CONCLUSION: For imaging intracranial metallic implants, the SEMAR algorithm produced images with significantly fewer artifacts than the iterative reconstruction alone, with no statistical changes in perfusion parameters. Thus, SEMAR reconstruction can be instrumental in improving CT image quality and may ultimately improve the detection of postoperative complications and patient prognosis.
Authors: Y Nagayama; S Tanoue; S Oda; D Sakabe; T Emoto; M Kidoh; H Uetani; A Sasao; T Nakaura; O Ikeda; K Yamada; Y Yamashita Journal: AJNR Am J Neuroradiol Date: 2019-12-26 Impact factor: 3.825
Authors: Lenhard Pennig; David Zopfs; Roman Gertz; Johannes Bremm; Charlotte Zaeske; Nils Große Hokamp; Erkan Celik; Lukas Goertz; Marcel Langenbach; Thorsten Persigehl; Amit Gupta; Jan Borggrefe; Simon Lennartz; Kai Roman Laukamp Journal: Eur Radiol Date: 2021-02-25 Impact factor: 5.315