title: Simulating 3-D lung dynamics using a programmable graphics processing unit.
abstract: Medical simulations of lung dynamics promise to be effective tools for teaching and training clinical and surgical procedures related to lungs. Their effectiveness may be greatly enhanced when visualized in an augmented reality (AR) environment. However, the computational requirements of AR environments limit the availability of the central processing unit (CPU) for the lung dynamics simulation for different breathing conditions. In this paper, we present a method for computing lung deformations in real time by taking advantage of the programmable graphics processing unit (GPU). This will save the CPU time for other AR-associated tasks such as tracking, communication, and interaction management. An approach for the simulations of the three-dimensional (3-D) lung dynamics using Green's formulation in the case of upright position is taken into consideration. We extend this approach to other orientations as well as the subsequent changes in breathing. Specifically, the proposed extension presents a computational optimization and its implementation in a GPU. Results show that the computational requirements for simulating the deformation of a 3-D lung model are significantly reduced for point-based rendering.
authors.affiliation: MD Anderson Cancer Center Orlando, Orlando, FL 32806, USA. anand@odalab.ucf.edu
authors.forename: Anand P
authors.initials: AP
authors.lastname: Santhanam
authors.forename: Felix G
authors.initials: FG
authors.lastname: Hamza-Lup
authors.forename: Jannick P
authors.initials: JP
authors.lastname: Rolland
mesh_terms: D003196:Computer Graphics; D003198:Computer Simulation; D003199:Computer Systems; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000295:instrumentation* / Q000379:methods; D008168:Lung / Q000502:physiology*; D008954:Models, Biological; D015656:Respiratory Mechanics / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*