2006 Fiscal Year Final Research Report Summary
ONSTRUCTION OF PRECISE HUMAN BODY MODEL AND DATABASES USING PET?CT IMAGES FOLLOWING AUTOMATIC DIAGONOSIS
| Project/Area Number |
16200004
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Media informatics/Database
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| Research Institution | YOKOHAMA NATIONAL UNIVERSITY |
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Principal Investigator |
ARISAWA Hiroshi YOKOHAMA NATIONAL UNIVERSITY, GRADUATE SCHOOL OF ENVIRONMENT AND INFORMATION SCIENCES, PROFESSOR, 大学院環境情報研究院, 教授 (10092636)
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| Co-Investigator(Kenkyū-buntansha) |
GOTO Toshiyuki YOKOHAMA NATIONAL UNIVERSITY, GRADUATE SCHOOL OF ENVIRONMENT AND INFORMATION SCIENCES, PROFESSOR, 大学院環境情報研究院, 教授 (30234991)
TOMII Takashi YOKOHAMA NATIONAL UNIVERSITY, GRADUATE SCHOOL OF ENVIRONMENT AND INFORMATION SCIENCES, ASOCIANTE PROFESSOR, 大学院環境情報研究院, 助教授 (40313473)
INOUE Tomio RADIOLOGY SCHOOL OF MEDICINE YOKOHAMA CITY UNIVERSITY, PROFESSOR, 医学研究科放射線医学教室, 教授 (80134295)
NEMOTO Akinobu YOKOHAMA CITY UNIVERSITY HOSPITAL DIRECTOR OF MEDICAL INFORMATION MANAGEMENTS, 医学部附属病院, 医療情報部長 (20264666)
SATO Takako YOKOHAMA NATIONAL UNIVERSITY, GRADUATE SCHOOL OF ENVIRONMENT AND INFORMATION SCIENCES, ASSISTANT, 大学院環境情報研究院, 助手 (10401697)
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| Project Period (FY) |
2004 – 2006
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| Keywords | CAD / COMPUTER-ASSISTED DIAGNOIS / PET / CT / IMAGE PROCESSING / DATABASE / HUMAN BODY MODELING / MEDICAL IMAGING |
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| Research Abstract |
This research is a celebrative research project between Graduate School of Medicine of Yokohama City University and Graduate School of Environment and Information Sciences of Yokohama National University. It aims to construct a CAD (Computer Automated Diagnosis) system for the 'automatic cancer detecting' using the whole-body PET (Positron Emission Tomography) and CT (Computer Tomography) Images. To achieve this, we made many interviews with medical doctors (Radiologists) and finally established the formal algorithm to detect abnormal 3D-area in the human bodies. Then we developed the CAD Engine which interprets the algorithm (written by the special language MDPL), make diagnosis and produce the formatted data including abnormal 3D?area and the annotations. This system enables us to store the CAD results and to retrieve them by using Database Management System. Within the project, we asked several medical organizations (hospitals and clinics) to evaluate the reliability and efficiency of the CAD system. Total evaluation and Improvement of the algorithm to cover all the variations of human bodies are left for future.
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