HOSONO MakotoDepartment of Medicine Professor |
Makoto Hosono, MD, PhD, is Professor of Department of Radiology, Kindai University Faculty of Medicine, Osaka, Japan, and serves as a member of ICRP C3 since 2017 and a member of Radiation Council, Nuclear Regulatory Agency, Government, Japan since 2022. After graduating from Kyoto University School of Medicine, Japan, he has been contributing to the fields including nuclear oncology, tumor targeting, and radiation protection as well as neurology and cardiology. In Japanese Society of Nuclear Medicine (JSNM), he serves as the Chair of PET Committee since 2011 and as an active member of Radionuclide Therapy Committee. He also served as the Chief of Working Group for establishment of the first ever National Diagnostic Reference Levels in 2015 (Japan DRLs 2015) for diagnostic radiology and nuclear medicine in the framework of Japan Network for Research and Information on Medical Exposure (J-RIME). Since 2017, he is the Chair of J-RIME and involved in revision of DRLs, which was published as Japan DRLs 2020. He has been the principal Investigator of a Research Group on Radiation Protection in Medicine of Ministry of Health in Japan since 2007. He was responsible for the clinical trials of Ra-223 dichloride in Japan as one of principal investigators since 2011. He contributed to the approval of Lu-177 DOTATATE in Japan by establishing safety standards and release criteria. He has participated in numerous educational activities for PET and SPECT oncology imaging and radionuclide therapy at national and international events.
The purpose of this study was to evaluate the effect of a hybrid-type iterative reconstruction method on Z-score mapping of hyperacute stroke in unenhanced computed tomography (CT) images. We used a hybrid-type iterative reconstruction [adaptive statistical iterative reconstruction (ASiR)] implemented in a CT system (Optima CT660 Pro advance, GE Healthcare). With 15 normal brain cases, we reconstructed CT images with a filtered back projection (FBP) and ASiR with a blending factor of 100% (ASiR100%). Two standardized normal brain data were created from normal databases of FBP images (FBP-NDB) and ASiR100% images (ASiR-NDB), and standard deviation (SD) values in basal ganglia were measured. The Z-score mapping was performed for 12 hyperacute stroke cases by using FBP-NDB and ASiR-NDB, and compared Z-score value on hyperacute stroke area and normal area between FBP-NDB and ASiR-NDB. By using ASiR-NDB, the SD value of standardized brain was decreased by 16%. The Z-score value of ASiR-NDB on hyperacute stroke area was significantly higher than FBP-NDB (p<0.05). Therefore, the use of images reconstructed with ASiR100% for Z-score mapping had potential to improve the accuracy of Z-score mapping.