NextMed / MMVR22

Andinet Enquobahrie will present the paper ‘The Virtual Pediatric Airways Workbench.’ The presentation will take place on April 7th at 2:15 pm. On the following day, at 2:00 pm, Sreekanth Arikatla will discuss ‘A Unified Framework for Haptic Interaction in Multimodal Virtual Environments.’ He will also present a poster titled ‘An Approach for Automated Scene Management in Real-Time Medical Simulation Framework.’

The Virtual Pediatric Airways Workbench

By Cory W. Quammen, Russell M. Taylor II, Pavel Krajcevski, Sorin Mitran, Andinet Enquobahrie, Richard Superfine, Brad Davis, Stephanie Davis, and Carlton Zdanski

Presented by Andinet Enquobahrie

Abstract

The Virtual Pediatric Airways Workbench (VPAW) is a patient-centered surgical planning software system targeted to pediatric patients with airway obstruction. VPAW provides an intuitive surgical planning interface for clinicians and supports quantitative analysis regarding prospective surgeries to aid clinicians deciding on potential surgical intervention. VPAW enables a full surgical planning pipeline, including importing DICOM images, segmenting the airway, interactive 3D editing of airway geometries to express potential surgical treatment planning options, and creating input files for offline geometric analysis and computational fluid dynamics simulations for evaluation of surgical outcomes. In this paper, we describe the VPAW system and its preliminary use by clinicians.

A Unified Framework for Haptic Interaction in Multimodal Virtual Environments

By Venkata S. Arikatla, Ricardo Ortiz, Suvranu De, and Andinet Enquobahrie

Presentation by Sreekanth Arikatla

Abstract

In this paper we introduce a Modified Iterative Constraint Anticipation (MICA) method that provides a unified framework for direct and response-based indirect haptic interaction common in many interactive virtual environments. Collision constraints during response based interaction that are modeled using the linear complementarity problem (LCP) framework resolves collision constraints from response-based interactions while allowing for accurate computation of reaction forces. Direct user manipulation is enabled by the linear projection constraints (LPC). A smoothing filter is used to post-process the reaction forces arising from both LCP and LPC to achieve stable interactions in real-time. The effectiveness of MICA is demonstrated using example problems involving deformable bodies.

An Approach for Automated Scene Management in Real-time Medical Simulation Framework

Venkata S. Arikatla, Ricardo Ortiz, Tansel Halic, Sean Radigan, David Thompson, Suvranu De and Andinet Enquobahrie

Presented by Sreekanth Arikatla

Abstract

In this paper we present an algorithm that allows for minimal end-user inputs by internally automating the creation and management of interactions amongst the objects in the scene in real-time medical simulation framework. A bi-directed graph (with nodes representing the scene objects and the connections representing the interactions) is formed based on the inputs from the user. This graph is then processed using a two stage algorithm that aims to find subgraphs that can be treated as independent sub-systems. Collision detection, collision response, assembly and solver objects are then automatically created and managed. This allows for users with limited knowledge of the underlying physics models, collision detection and contact algorithms to easily create a surgical scenario with minimal inputs.