title: Liver pathology simulation: algorithm for haptic rendering and force maps for palpation assessment.
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.
authors: Computer Science and Information Technology, Armstrong Atlantic State University.
authors: Felix G
authors: FG
authors: Hamza-Lup
authors: Adrian
authors: A
authors: Seitan
authors: Dorin M
authors: DM
authors: Popovici
authors: Crenguta M
authors: CM
authors: Bogdan
mesh_terms: D003116:Color; D003194:Computer-Assisted Instruction / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D055119:Elastic Modulus; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008107:Liver Diseases / Q000175:diagnosis* / Q000473:pathology / Q000503:physiopathology; D010173:Palpation / Q000379:methods*; D013314:Stress, Mechanical; D014110:Touch; D014584:User-Computer Interface