Researcher Database

（Last updated : 2025-01-14 15:59:05）　

AMANO Akira

Department / Course College of Life Sciences Department of Bioinformatics

Title / Position Professor

Other Affiliations
1.	Graduate School of Life Sciences
2.	Research Organization of Science and Technology BioSimulation Research Center
3.	Research Organization of Science and Technology Integrated Vision Research Center
4.	Research Organization of Science and Technology The Bio Medical Devices Center
5.	Research Organization of Science and Technology Institute of Advanced Research for Sport and Health Science

Academic background
1.	～1993/03	Doctoral Program (2nd Semester) │ Informatics Engineering Major │ Graduate School, Division of Engineering │ Kyoto University
2.	1995/09 Degree Acquisition	│ Kyoto University Ph.D. (Engineering)
3.	～1988/03	Department of Electrical Engineering │ Faculty of Engineering │ Kyoto University │ Graduated
4.	～1990/03	Master Course │ Department of Applied Systems Science │ Graduate School, Division of Engineering │ Kyoto University │ Completed

Research activities
1.		IEEE Computer Society
2.		IEEE EMB Society
3.		International Society for Magnetic Resonance in Medicine
4.		The Japanese Society of Medical Imaging Technology
5.		Information Processing Society of Japan
Display All（8）

Subject of research
1.	biological function imaging with MRI
2.	biological function simulation

Research summary
Analysis and application of the establishment of constitutive tissue and organ models using cell model , in particular, the establishment of the heartbeat model using the myocardial cell model to establish the systemic circulation dynamics model , Morphological and kinematical measurement and the analysis of heart using MRI The research on simulation concerning organisms covers a wide range. The research targets of our laboratory are tissue and organ models based on the physiological model of the cell and we aim to clarify the functions that the system consisting of multiple cells has and apply them to the medical field. At present, we are establishing a model using the detailed physiological model of myocardium. We are establishing the models of the tissues and organs using 10 to tens of thousands of myocardium models that can reproduce electric excitation and myocardial contractility in a high accuracy. Concerning a tissue model, we are performing the model analysis of the relationship between the excitement propagation phenomenon where the multiple cells get excited one after another and the tensile force where the myocardial tissues are generated, and aim to analyze the relationship between the decrease of excitation propagation in the entire heart and the cardiac functions as a final goal. In addition, concerning the transportation of substances such as oxygen and nutrition through capillary vessels, we establish a capillary model to evaluate the change in the situation of the cells along the vessels. Furthermore, concerning the organ model, we are analyzing the heart motion and cardiac functions using the finite element model consisting of tens thousands of elements to reproduce the systemic circulation state and analyze the interaction between the blood circulatory system and the heart. In addition, concerning the application to the medical field, we aim to realize the system to infer the action of a drug against the cardiac muscle cell model using the parameter optimization method. The confirmation of the side-effects of the drug against the cardiac muscle cell ion channel is an important process to develop a drug. The method to infer this problem using the measurement result due to simple measurement method is also an important technology for practical use. A research on this kind of simulation has just started and the complexity of the model is greatly different from the existing simulations of physical phenomena. As it seems to be important to assure the reliability of the model in terms of software in the future, we are advancing the research on the formal description and handling of the simulation models. Furthermore, the data of myocardial fiber orientation and heart motion is necessary to simulate the heartbeat. For that reason, we are also engaged in research on the measurement technology using MRI.

Present specialized field
Software, Biological/Living Body Informatics, Biomedical Engineering/Biological Material Studies, Medical Systems, Cardiovascular medicine (Keyword：biological function simulation , heart simulation , MRI)

Books
1.	2004/04	Image Processing Technologies: Algorithms, Sensors, and Applications

Papers
1.	2024/04/18	Mathematical Analysis of Left Ventricular Elastance with respect to Afterload Change During Ejection Phase │ PLoS Comput │ 20 (4),pp.e1011974
2.	2020	Exploring the role of fatigue-related metabolite activity during high-intensity exercise using a simplified whole-body mathematical model │ Informatics in Medicine Unlocked │ (inpress)
3.	2019/11	Evaluation of critical flicker-fusion frequency measurement methods using a touchscreen-based visual temporal discrimination task in the behaving mouse. │ Neuroscience Research │ 148,pp.28-33
4.	2019	Mechanisms Underlying Spontaneous Action Potential Generation Induced by Catecholamine in Pulmonary Vein Cardiomyocytes: A Simulation Study │ 20 (12),pp.2913
5.	2018	A new myofilament contraction model with ATP consumption for ventricular cell model │ The Journal of Physiological Sciences │ ,pp.541-554
Display All（32）

Academic conference presentation
1.	2023/07/01	Quantifying the Energy Demand and Supply in Photoreceptor using a Comprehensive Mathematical Model
2.	2022/03/16	A mathematical model of photoreceptor inner and outer segments estimating the ion transport activities with the Goldman-Hodgkin=Katz equation
3.	2022/03/16	Mechanism which determines Ion Concentration Equilibrium of Ventricular Myocyte Mathematical Model under various Cycle Length, Stimulation Current, INa block, and Action Potential Duration
4.	2020/03/17	Changes in Left Ventricular Elastance During Ejection Phase --- Model Study ---
5.	2020/03/17	Coordinately early afterdepolarizations evoked in ventricular tissue trigger reentrant arrhythmias:in silico study
Display All（76）

Works
1.	2023/11/05	Propagation of Repolarization in Human Ventricle Revealed in a One-Dimensional Strand of Cardiomyocyte Model (Busan Korea・Inje University)

External Researcher ID
ORCID ID
0000-0002-7704-2458
Researcher ID