Liver Pathology Simulation: Algorithm for Haptic Rendering and Force Maps for Palpation Assessment
Document Type
Contribution to Book
Publication Date
2-20-2013
Publication Title
Medicine Meets Virtual Reality 20
DOI
10.3233/978-1-61499-209-7-175
ISBN
978-1-61499-209-7
Abstract
Pre-operatory gestures include tactile sampling of the mechanical properties of biological tissue for both histological and pathological considerations. Tactile properties used in conjunction with visual cues can provide useful feedback to the surgeon. Development of novel cost effective haptic-based simulators and their introduction in the minimally invasive surgery learning cycle can absorb the learning curve for your residents. Receiving pre-training in a core set of surgical skills can reduce skill acquisition time and risks. We present the integration of a real-time surface stiffness adjustment algorithm and a novel paradigm - force maps - in a visuo-haptic simulator module designed to train internal organs disease diagnostics through palpation.
Recommended Citation
Hamza-Lup, Felix G., Adrian Seitan, Dorin M. Popovici, Crenguta M. Bogdan.
2013.
"Liver Pathology Simulation: Algorithm for Haptic Rendering and Force Maps for Palpation Assessment."
Medicine Meets Virtual Reality 20, James D. Westwood, Susan W. Westwood, Li Felländer-Tsai, Randy S. Haluck, Richard A. Robb, Steven Senger, and Kirby G. Vosburgh (Ed.): 175-181 San Diego, CA: IOS Press.
doi: 10.3233/978-1-61499-209-7-175 isbn: 978-1-61499-209-7
https://digitalcommons.georgiasouthern.edu/compsci-facpubs/126
