この研究室では，医用画像诊断机器及び放射线治疗机器の信号処理过程を非线形动的力学系として定式化し，力学系理论と分岐解析を基盘とした独自のアプローチにより，有効性の高い诊断?治疗法の开発及び改良を目指しています．主要な研究课题は以下の通り：
- 非线形动的特性を积极的に利用した高速?高品质颁罢画像再构成法の开発
- 非线形力学系の分岐理论に基づく强度変调放射线治疗计画の设计法の开発
- 结合神経振动子系の同期现象を用いた动的画像领域分割法の开発
- 周期的矩形波列を印加した非线形叠濒辞肠丑方程式の分岐解析による高静磁场下惭搁滨パルスシーケンスの开発
The aim of our research is to contribute to the improvement and development of medical diagnosis and treatment methods, with our unique approach of analyzing and designing dynamical systems in signal processing of medical equipments, by using our method for calculating bifurcations based on the dynamical system theory. Current research projects include the development of (1) fast image reconstruction technique for high quality CT image using active nonlinear dynamics, (2) gradient method for optimizing intensity modulated radiation therapy based on bifurcation theory, (3) dynamic image segmentation method using synchronization phenomena in a neuronal network, and (4) pulse sequence for MRI under high magnetic field through bifurcation analysis of nonlinear Bloch equation with a periodic rectangular pulse train.
