| 1.Research Institution | Kanazawa Institute of Technology | |
| 2.Research Area | Integrated Fields | |
| 3.Research Field | Biomedical Observation and Control | |
| 4.Term of Project | FY 1997 〜 FY 2001 | |
| 5.Project Number | 97I00403 | |
| 6.Title of Project | Application of Heuristic Solution of Inverse Problem to Medical Diagnoses and Biological Research |
| Name | Institution,Department | Title of Position |
| Hisashi Kado | Kanazawa Institute of Technology, Applied Electronics Laboratory | Director, Professor |
8.Core Members
| Names | Institution,Department | Title of Position |
| Masao Ohmi | K.I.T, MATTO LABORATORIES for Human Information Systems | Professor |
| Tetsuo Kawahara | K.I.T, MATTO LABORATORIES for Human Information Systems | Professor |
| Yasukazu Hamada | K.I.T, MATTO LABORATORIES for Human Information Systems | Associate professor |
9.Summary of Research Results
|
Our activity for this project was on the study the heuristic algorithm of inverse problem, and our goal was to a
establish a heuristic solution to the inverse problem which could be applied to the technology development of estimation of
the magnetic source in MEG (magnetoencephalograph) measurement, and also to be applied to the cochlear implant which is
an artificial internal organ. We have developed the AMAIKE method which is the base for the study, a series of library software which operates the method, and the PC-based parallel connected system which acts as the platform for the method. We have also developed a time-series 3-dimensional information visualization software, 3DV, which helps to intuitively understand the magnetic source information obtained by the algorithm. Further, using the original filtering technology, a medical image information extracting software called Synapse was developed, which extracts only the anatomical information from the generally-used medical information and which then visualizes the extracted information three dimensionally. The new and advanced studies on MEG such as the environmental magnetic noise reduction method CALM, active shielding technology, and SQUID sensor advancement were carried out for the project in order to support the algorithm study. The medical image information extracting software Synapse was distributed as freeware to public through internet, and met a large response from medical and cognitive science research field both in and abroad. In the frame of this project, we have actually applied the above results to the activities at medical or cognitive science research institutes, and gained new knowledge and information on new diagnostic methods or cognitive science field. A new field to apply this project's result was found through a derivative technology of MEG measurement; the measurement of magnetic fields evoked from spinal and peripheral nerve is a derivative. The studies at a medical institute were performed using this new measurement system and are producing excellent results. Marketwise, the system is also a new discovery which can expect a different market from the MEG system users. The results of this project is assessed to be quite valuable both academically and industrially, with greater progress to be expected. A new project has already begun which aims at the further advancement of the study. |
10.Key Words
(1)Algorithm、(2)Metrological Engineering、(3)Medical Engineering
(4)Biological Engineering、(5)Inverse Problem