Hybrid network architecture for interactive multi-user surgical simulator with scalable deformable models

Studies in Health Technology and Informatics

Volumn 142, Issue , 2009, Pages 292-294

  Sankaranarayanan, Ganesh ^a   Deo, Dhanannjay ^a   De, Suvranu ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

Deformable model; Haptic collaboration; Interactive multi user collaboration; Surgical collaboration

Indexed keywords

DEFORMATION; SURGERY; SURGICAL EQUIPMENT; VIRTUAL REALITY;

DEFORMABLE MODELING; DEFORMABLE MODELS; GLOBAL SCALE; HAPTIC COLLABORATION; MULTI-USER COLLABORATION; ONE WAY DELAY; SURGICAL COLLABORATION; SURGICAL SIMULATORS;

NETWORK ARCHITECTURE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOMECHANICS; COMPUTER INTERFACE; COMPUTER SIMULATION; COMPUTER SYSTEM; ELASTICITY; HUMAN; SURGERY; TOUCH;

BIOMECHANICS; COMPUTER SIMULATION; COMPUTER SYSTEMS; ELASTICITY; HUMANS; NEURAL NETWORKS (COMPUTER); SURGICAL PROCEDURES, OPERATIVE; TOUCH; USER-COMPUTER INTERFACE;

EID: 67549097167     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-58603-964-6-292     Document Type: Conference Paper

References (3)

1. Gunn, C., Hutchins, M., Adcock , M., and Hawkins, R., Surgical Training Using Haptics Over Long Internet Distances, Stud Health Technol Inform 98 (2004), 121-123. Published by IOS Press.
2. Deo, D., De, S., and Kalyanraman, S., A Scalable Intermediate Representation for Remote Interaction with Soft Tissues, Stud Health Technol Inform 125 (2007), 112-114. Published by IOS Press.
3. Deo, D., De, S., A machine learning-based scalable approach for real-time surgery simulation. Accepted for publication in MMVR 2009.