title: Cellular neural network analysis for two-dimensional bioheat transfer equation.
abstract: The cellular neural network (CNN) method is applied to solve the Pennes bioheat transfer equation, and its feasibility is demonstrated. Numerical solutions were obtained for a cellular neural network for a two-dimensional steady-state temperature field obtained from focused and unfocused ultrasound heat sources. Transient-state temperature fields were also studied and compared with experimental results obtained elsewhere. The cellular neural networks' key features of asynchronous parallel processing, continuous-time dynamics and local interaction enable real-time temperature field estimation for clinical hyperthermia.
authors.affiliation: Department of Biomedical Engineering, Shanghai Jiaotong University, China. njh80994@maill.stju.edu.cn
authors.forename: J H
authors.initials: JH
authors.lastname: Niu
authors.forename: H Z
authors.initials: HZ
authors.lastname: Wang
authors.forename: H X
authors.initials: HX
authors.lastname: Zhang
authors.forename: J Y
authors.initials: JY
authors.lastname: Yan
authors.forename: Y S
authors.initials: YS
authors.lastname: Zhu
mesh_terms: D004735:Energy Transfer; D005240:Feasibility Studies; D006801:Humans; D006979:Hyperthermia, Induced / Q000379:methods*; D008954:Models, Biological; D016571:Neural Networks, Computer