Kyushu University Academic Staff Educational and Research Activities Database
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Junji Morishita Last modified date:2023.11.14

Professor / Department of Health Sciences
Department of Health Sciences
Faculty of Medical Sciences


Graduate School
Undergraduate School


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Homepage
https://kyushu-u.elsevierpure.com/en/persons/junji-morishita
 Reseacher Profiling Tool Kyushu University Pure
Academic Degree
PhD (工学博士)
Country of degree conferring institution (Overseas)
No
Field of Specialization
Medical Image Engineering, Radiological Technology
Total Priod of education and research career in the foreign country
03years00months
Outline Activities
Education: Image evaluation, Radiological Technology
Research: Image Display Device for Medical Imaging, Development of Image Matching for medical imaging and forensic pathology
Research
Research Interests
  • Development of image recognition technology for identification
    keyword : personal identification, image recognition, biological fingerprint
    2019.05~2024.03.
  • Development of an automated patient recognition method
    keyword : image matching, automated recognition, radiography
    2000.03~2024.03I am developing methods for automated patient recognition of chest radiographs by using image information. Final goal of the study is to develop an automated warning system to prevent a filing error in the PACS environment..
  • Image quality of medical LCD monitor
    keyword : Medical LCD monitor Image quality
    2007.04~2024.03.
  • Image evaluation of digital radiography and Liquid-crystal display device
    keyword : LCD, digital radiography, image quality
    1988.04~2024.03.
Current and Past Project
  • Practical skill enhancement -oriented and team-based medical care acceleration proram
Academic Activities
Reports
1. Junji Morishita, Yasuyuki Ueda, New solutions for automated image recognition and identification: challenges to radiographic technology and forensic pathology, Radiological Physics and Technology, 10.1007/s12194-021-00611-9,
Radiological Physics and Technology, 14(2), 123-133
, 2021.03, This paper outlines the history of biometrics for personal identification, the current status of the initial biological fingerprint techniques for digital chest radiography, and patient verification during medical imaging, such as computed tomography and magnetic resonance imaging. Automated image recognition and identification developed for clinical images without metadata could also be applied to the identification of victims in mass disasters or other unidentified individuals. The development of methods that are adaptive to a wide range of recent imaging modalities in the fields of radiologic technology, patient safety, forensic pathology, and forensic odontology is still in its early stages. However, its importance in practice will continue to increase in the future..
Papers
1. Koji OURA, Noriaki IKEDA, Yongsu YOON, Toyoyuki KATO, Junji MORISHITA, Potential for personal identification using the volume of the mastoid air cells extracted from post mortem computed tomographic images, Legal Medicine, 10.1016/j.legalmed.2022.102060, 58, 2022.04, This study revealed the usefulness of volumetric analysis of mastoid air cells (MACs) extracted from postmortem computed tomography (PMCT) images in characterizing individuals. To characterize deceased persons, the MACs volumes of 61 Japanese PMCT images were measured after thresholding in Hounsfield units and based on the number of voxels on the right and left sides and the voxel size for each person. The volume differences between the right and left MACs and sex were examined. Although there were no obvious volume differences between males and females, the order of sizes on the two sides varied for each person. Moreover, deceased persons could be roughly classified using the total volume of MACs. Deceased persons with similar total volumes could be distinguished further by comparing the ratio of volumes in bilateral MACs. Although the identification process is dependent on samples and different sizes of bilateral MACs, our pilot study indicated that 81.9% (50/61) of deceased persons could be distinguished. In conclusion, volumetric analysis of MACs measured using PMCT imaging has the potential to identify individuals and reduce the number of candidates..
2. Junji Morishita1and Yasuyuki Ueda, New solutions for automated image recognition and identification: challenges to radiologic technology and forensic pathlogy, Radiological Physics and Technology (RPT), 10.1007/s12194-021-00611-9, 14, 2, 123-133, 2021.06, This paper outlines the history of biometrics for personal identification, the current status of the initial biological fingerprint techniques for digital chest radiography, and patient verification during medical imaging, such as computed tomography and magnetic resonance imaging. Automated image recognition and identification developed for clinical images without metadata could also be applied to the identification of victims in mass disasters or other unidentified individuals. The development of methods that are adaptive to a wide range of recent imaging modalities in the fields of radiologic technology, patient safety, forensic pathology, and forensic odontology is still in its early stages. However, its importance in practice will continue to increase in the future..
3. Junji Morishita, Kiyoshi Dogomori, Shiro Hatanaka, Takeshi Hiwasa, Yasuhiko Nakamura, Noriyuki Hashimoto, Yoshiharu Higashida, Fukai Toyofuku, Masafumi Ohki, Effect of test patterns on measurement of the luminance of LCD devices by use of a telescopic-type luminance meter, Radiological Physics and Technology, Vol.1            p.95-p.99, 2008.01.
4. Junji Morishita, Hideyuki Watanabe, Shigehiko Katsuragawa,Nobuhiro Oda, Yoshiharu Sukenobu, Hiroko Okazaki, Hajime Nakata, Kunio Doi, Investigation of misfiled cases in the PACS environment and a solution to prevent filing errors for chest radiographs, Academic Radilogy, 10.1016/j.acra.2004.11.008, 12, 1, 97-103, Vol.12 No.1
PP97-103, 2005.01.
5. Junji Morishita, Shigehiko Katsuragawa,Yasuo Sasaki, Kunio Doi, Potential usefulness of biological fingerprints in chest radiographs for automated patient recognition and identification, Academic Radiology, Vol.11 No.3 PP.309-315, 2004.03.
6. Junji Morishita,Kunio Doi,Shigehiko Katsuragawa,Laurence Moninier-Cholley,and Heber MacMahon, Computer-aided diagnosis for interstitial infiltrates in chest radiographs: optical-density dependence of texture measures, Medical Physics, Vol.22 No.9
p.1515-p.1522, 1995.09.
7. @Junji Morishita,Kunio Doi,Romain Bollen, Philip C. Bunch,Dietmar Hoeschen, Gerard Sirand-rey,and Yoshiharu Sukenobu, Comparison of two methods for accurate measurement of modulation transfer functions of screen-film systems, Medical Physics, Vol.22 No.2
p.193-p.200, 1995.02.
Presentations
1. Development of an automated search method to find lost images in PACS environment by use of biological fingerprints and image-matching technique.
Awards
  • International contribution award
  • Feasibility study of the effective utilization of image features extracted from X-ray CT imaging for personal identification in forensic cases
Educational
Educational Activities
Image engineering (School of health sciences) Apr.2004-
Image processing (Dept. of Health Sciences, School of Medicine) Oct.2004-
Equipment for radioisotope examination (Dept. of Health Sciences, School of Medicine) Apr.2005-
Equipment for diagnostic imaging (Dept. of Health Sciences, School of Medicine) Apr.2005-
Computer-aided diagnosis (Dept. of Health Sciences, School of Medicine) Apr.2006-2010
Health Science Research (Dept. of Health Sciences, Graduate School of Medical Sciences) Apr.2007-
Medical Image Sciences (Dept. of Health Sciences, Graduate School of Medical Sciences) Apr. 2007-
Radiographic technique 2 (Dept. of Health Sciences, School of Medicine) 2010-
Other Educational Activities
  • 2014.05.
  • 2016.04.
  • 2010.04.
  • 2008.10.
  • 2007.10.
  • 2004.01.
  • 2003.09.
  • 2003.01.
  • 1999.12.
Social
Professional and Outreach Activities
A lecturer of an extension of Dept. of Health Sciences, School of Medicine, Kyushu University for 2004 (July 10, 2004)..