November 24-26,  2017,  Okinawa, Japan

      International Conference on Intelligent Informatics and BioMedical Sciences


Work Eperience: 
1990 Research Fellow, Japan Society for the Promotion of Science
1991 Visiting Scientist, Los Alamos National Laboratory
1991 Postdoctoral Fellow, Los Alamos National Laboratory
1993 Postdoctoral Fellow, Research Development Corporation of Japan
1995 Research Associate, Research Laboratory of Engineering Materials, Tokyo Institute of Technology
2000 Associate Professor, Extreme Energy-Density Research Institute, Nagaoka University of Technology
2007 Associate Professor, Department of Electrical Engineering, Nagaoka Technology University of Technology
2007 Professor, Department of Electrical Engineering, Nagaoka University of Technology
2012 Professor, Department of Nuclear System Safety Engineering, Nagaoka University of Technology

Dr. Ryoichi Nakamura obtained his PhD in 2003 from Graduate School of Engineering of the University of Tokyo (Japan). He started his career at Department of Radiology at Brigham & Women’s Hospital as a research fellow in 2001, then held an appointment as a research associate at Institute of Advanced Biomedical Engineering and Science, Tokyo Women’s Medical University between 2003 and 2008. From 2008 he is working as an associate professor in Department of Medical System Engineering at Graduate School of Engineering and Center for Frontier Medical Engineering, Chiba University, as a director of Laboratory of Innovative Therapeutic Engineering (LITE). From 2016, he is also working as a research director of PRESTO (Sakigake) at Japan Science and Technology Agency (JST). His research interests are image-guided surgery and robotics for minimal invasive surgery.

1986 B. Eng. , Department of Inorganic Materials, Tokyo Institute of Technology
1988 Ms. Eng. , Department of Nuclear Engineering, Tokyo Institute of Technology
1991 Dr. Eng. , Department of Nuclear Engineering, Tokyo Institute of Technology

Dr. Ryoichi Nakamura

Assoc. Professor

Chiba University

Fig. 1 Relative density of MoO3 pellets sintered by one or two step pressurization in PECS.

Abstract: Therapeutic environment is highly developed but increasingly complicated by emergence of a new minimally invasive surgical technique, the development of various diagnostic and treatment equipment. Computer Aided Surgery (CAS) technologies contribute for the advancement of minimally invasive surgery using precise guidance system based on diagnostic imaging and robotics technologies. And it also provide us digital operation room environment, in which we can easily measure and analyze the surgical information. We are developing the technologies for guiding surgeons precisely and technologies for measuring and analyzing the digital information on the surgical navigation system to detect and evaluate the characteristics of surgical procedures and environments and also to predict the future outcome and effectiveness of the treatment. In this presentation, I will introduce our research on surgical navigation, surgical workflow/skill assessment, and surgical robotics based on capturing and processing of intraoperative information, including medical image, video information, and trajectory of surgical instrument in minimally invasive surgery. These technologies will support not only to achieve higher quality of minimally invasive surgery, including preciseness, safety, and reliability, but also to establish new strategy of medical device development, by providing a quantitative and subjective evaluation of the value of medical treatment.

Alfredo Benso is an Associate Professor in Computer Engineering at Politecnico di Torino, Italy, where he teaches Operating Systems, Hypermedia-design, and Fundamentals of Computer Science. He has a PhD in computer engineering, he is vice-chair of the PhD Programs Advisory Board, and since 2008 he is Adjunct Associate Professor of Electrical and Computer Engineering at the University of Illinois at Chicago. He is a Senior Member of the IEEE. He is the chair of the IEEE Computer Society Technical Committee in Computational Life Sciences. He is also a member of the Board of Governors of the IEEE Computer Society. His research interests are focused on Systems and Computational Biology. In particular he is currently involved in several projects dealing with the modeling and simulation of the dynamics of Gene Regulatory Networks, the identification of regulatory motifs, the functional annotation of uncharacterized proteins, and the use of Machine Learning against food frauds.

 Summary of Expertise: Hardware/Software design, Machine Learning, Systems and Computational Biology. 

Abstract:99mTchas been utilized as a radioactive isotope in medical applications. The majority of this isotope has been separated from nuclear fission products in testing reactors with highly enriched 235U fuel.  However, these reactors have been shut down because of the age and the nuclear security reasons. On the other hand, a nuclear reaction method has been proposed.  This method is to irradiate 98Mo by neutrons in a reactor to form 98Mo and then to decay to 99mTc. As the target, MoO3pelletsare required. However, because of the low evaporation temperature (700 oC)and coarse grain size of 98Mo enriched powder, it was difficult to obtain high density MoO3pellets. To overcome this problem, a two-step loading method in pulsed electric current sintering was carried out in this study. 

Powder of MoO3with an average grain size of 12.5 m was pressed in a graphite die with a diameter of 20mm.  Then, a green compact was initially loaded at 10 MPa and heated in a pulsed electric current sintering apparatus with a heating rate of 100oC/min to 500-600oC in vacuum.  After reaching the maximum temperature, the pressure was increased to 40 MPa.  After holding the temperature for 5 min, the sample was quenched.  For comparison, samples pressed at 40 MPa throughout the process were also prepared.  The sintered samples were characterized by powder X-ray diffraction for phase identifications and scanning electron microscopy for grain size measurements. 

Relative densities of the sintered MoO3bulks are shown in Fig.1.  After sintering at 550 oC, the sintered MoO3bulk had a relative density of 93%,which was higher than the target density (90%) and that by a single-step loading at 40 MPa and 550 oC(78%).  This property is good enough for separation of99mTc and recycle of Mo. In the presentation, results on solution and neutron irradiation tests are presented.

Title: Engineering challenges in the world of Life-Sciences 

Dr. Alfredo Benso 

Assoc. Professor

Politecnico di Torino, Italy

 Dr. Hisayuki. Suematsu

Profesror,  Nagoya

University of Technology

Title:Intuitive Visualization and Optimization of Surgery based on Anatomy and Workflow information inside OR: New Strategy on Image-guided Surgery

Title: Pulsed Electric Current Sintering of MoO3for Production of Radioactive Isotopes

Abstract: Some years ago I ventured, as an engineer, into the research world of Life Sciences. To my eyes it appeared as Life Sciences researchers worked backwards compared to what happens in the engineering world. It seemed that their research methodologies had a number of issues that could limit their potential. Nevertheless, I also became aware that a different set of problems arose if my own traditional top-down engineering approach was applied to Life Sciences. In this talk I will discuss how I see the role of Systems and Computational Biology as a fundamental methodological “middle-ground” between these two (apparently) distant worlds. I will discuss the new challenges and opportunities offered by the explosion of "omics" data and the emerging field of Data Science in Computational Biology.