Satoshi Takagi1, Hiroyuki Nagase2, Tatsuya Hayashi3, Tamotsu Kita4, Katsumi Hayashi4, Shigeru Sanada5, Masayuki Koike6. 1. Radiological Center, National Defense Medical College Hospital, Tokorozawa, Saitama, Japan; Division of Health Sciences, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, Japan. Electronic address: rt.stakagi@gmail.com. 2. Department of Radiology, Maebashi Red Cross Hospital, Maebashi, Gunma, Japan. 3. Division of Health Sciences, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, Japan; Department of Radiological Technology, Toranomon Hospital, Minato-ku, Tokyo, Japan. 4. Department of Radiology, National Defense Medical College, Tokorozawa, Saitama, Japan. 5. Division of Health Sciences, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, Japan. 6. Radiological Center, National Defense Medical College Hospital, Tokorozawa, Saitama, Japan.
Abstract
PURPOSE: To evaluate the quality of our improved multi-kernel chest computed tomography (CT) images. METHODS: A random sample of 50 normal patients was retrospectively selected from those who underwent chest CT scans between January 2010 and July 2010. Normal lung structures were divided into six categories, and two radiologists independently compared with lung images. RESULTS: The improved multi-kernel images were displayed identically to soft tissue images on soft tissue window settings and were evaluated as equal to lung images on lung window settings. CONCLUSIONS: This improved multi-kernel technique required fewer stored images and simplified examinations of chest CT.
PURPOSE: To evaluate the quality of our improved multi-kernel chest computed tomography (CT) images. METHODS: A random sample of 50 normal patients was retrospectively selected from those who underwent chest CT scans between January 2010 and July 2010. Normal lung structures were divided into six categories, and two radiologists independently compared with lung images. RESULTS: The improved multi-kernel images were displayed identically to soft tissue images on soft tissue window settings and were evaluated as equal to lung images on lung window settings. CONCLUSIONS: This improved multi-kernel technique required fewer stored images and simplified examinations of chest CT.
Authors: Jakob Neubauer; Eva Maria Spira; Juliane Strube; Mathias Langer; Christian Voss; Elmar Kotter Journal: Medicine (Baltimore) Date: 2016-11 Impact factor: 1.889