Haptic modeling for liver cutting based on fuzzy neural network

Author

Song, Weiguo ; Yuan, Kui

Author_Institution

Inst. of Autom., Chinese Acad. of Sci., Beijing

fYear

2005

fDate

24-28 July 2005

Firstpage

1216

Lastpage

1220

Abstract

Based on image processing and 3D magnetic tracking, a scalpel adjusted for cutting parameters acquisition was designed, and the performance was validated from tissue cutting. Then a method for fuzzy system modeling was presented, that is, each input variable space was partitioned equally at first, and the premises and the total number of fuzzy rules were decided next, then the consequent parameters were learned and the fuzzy membership functions (MF) of the input variables were optimized by using a neurofuzzy modeling technique based on ANFIS. Finally a haptic modeling for liver cutting was established

Keywords

fuzzy neural nets; haptic interfaces; medical computing; medical image processing; medical robotics; surgery; 3D magnetic tracking; fuzzy membership functions; fuzzy neural network; haptic modeling; image processing; liver cutting; neurofuzzy modeling technique; Biological tissues; Fuzzy neural networks; Fuzzy systems; Haptic interfaces; Image processing; Input variables; Liver; Minimally invasive surgery; Solid modeling; Visual effects;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Intelligent Mechatronics. Proceedings, 2005 IEEE/ASME International Conference on

Conference_Location

Monterey, CA

Print_ISBN

0-7803-9047-4

Type

conf

DOI

10.1109/AIM.2005.1511176

Filename

1511176