Masaki Katsura1, Jiro Sato2, Masaaki Akahane3, Taku Tajima2, Toshihiro Furuta2, Harushi Mori2, Osamu Abe2. 1. Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. mkatsura-tky@umin.ac.jp. 2. Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. 3. Department of Radiology, School of Medicine, International University of Health and Welfare, Chiba, Japan.
Abstract
PURPOSE: To evaluate the effects of the single-energy metal artifact reduction (SEMAR) algorithm on image quality of cerebral CT and CT angiography (CTA) for patients who underwent intracranial aneurysm coiling. METHODS: Twenty patients underwent cerebral CT and CTA using a 320-detector row CT after intracranial aneurysm coiling. Images with and without application of the SEMAR algorithm (SEMAR CT and standard CT images, respectively) were reconstructed for each patient. The images were qualitatively assessed by two independent radiologists in a blinded manner for the depiction of anatomical structures around the coil, delineation of the arteries around the coil, and the depiction of the status of coiled aneurysms. Artifact strength was quantitatively assessed by measuring the standard deviation of attenuation values around the coil. RESULTS: The strength of artifacts measured in SEMAR CT images was significantly lower than that in standard CT images (25.7 ± 10.2 H.U. vs. 80.4 ± 67.2 H.U., p < 0.01, Student's paired t test). SEMAR CT images were significantly improved compared with standard CT images in the depiction of anatomical structures around the coil (p < 0.01, the sign test), delineation of the arteries around the coil (p < 0.01), and the depiction of the status of coiled aneurysms (p < 0.01). CONCLUSION: The SEMAR algorithm significantly reduces metal artifacts from intracranial aneurysm coiling and improves visualization of anatomical structures and arteries around the coil, and depiction of the status of coiled aneurysms on post-interventional cerebral CT.
PURPOSE: To evaluate the effects of the single-energy metal artifact reduction (SEMAR) algorithm on image quality of cerebral CT and CT angiography (CTA) for patients who underwent intracranial aneurysm coiling. METHODS: Twenty patients underwent cerebral CT and CTA using a 320-detector row CT after intracranial aneurysm coiling. Images with and without application of the SEMAR algorithm (SEMAR CT and standard CT images, respectively) were reconstructed for each patient. The images were qualitatively assessed by two independent radiologists in a blinded manner for the depiction of anatomical structures around the coil, delineation of the arteries around the coil, and the depiction of the status of coiled aneurysms. Artifact strength was quantitatively assessed by measuring the standard deviation of attenuation values around the coil. RESULTS: The strength of artifacts measured in SEMAR CT images was significantly lower than that in standard CT images (25.7 ± 10.2 H.U. vs. 80.4 ± 67.2 H.U., p < 0.01, Student's paired t test). SEMAR CT images were significantly improved compared with standard CT images in the depiction of anatomical structures around the coil (p < 0.01, the sign test), delineation of the arteries around the coil (p < 0.01), and the depiction of the status of coiled aneurysms (p < 0.01). CONCLUSION: The SEMAR algorithm significantly reduces metal artifacts from intracranial aneurysm coiling and improves visualization of anatomical structures and arteries around the coil, and depiction of the status of coiled aneurysms on post-interventional cerebral CT.
Authors: Marios-Nikos Psychogios; Bernhard Scholz; Christopher Rohkohl; Yiannis Kyriakou; Alexander Mohr; Peter Schramm; Dorothee Wachter; Katrin Wasser; Michael Knauth Journal: Neuroradiology Date: 2013-04-16 Impact factor: 2.804
Authors: Karin M Andersson; Eva Norrman; Håkan Geijer; Wolfgang Krauss; Yang Cao; Johan Jendeberg; Mats Geijer; Mats Lidén; Per Thunberg Journal: Br J Radiol Date: 2016-04-28 Impact factor: 3.039
Authors: Andrew J Molyneux; Richard S C Kerr; Ly-Mee Yu; Mike Clarke; Mary Sneade; Julia A Yarnold; Peter Sandercock Journal: Lancet Date: 2005 Sep 3-9 Impact factor: 79.321
Authors: M A A D Ragusi; R W van der Meer; R M S Joemai; J van Schaik; C S P van Rijswijk Journal: Cardiovasc Intervent Radiol Date: 2017-10-30 Impact factor: 2.740
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: Zefu Zhang; Hassan Albadawi; Richard J Fowl; Izzet Altun; Marcela A Salomao; Jama Jahanyar; Brian W Chong; Joseph L Mayer; Rahmi Oklu Journal: Adv Mater Date: 2022-01-21 Impact factor: 30.849