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Rupert Paget

Publications and source records attributed to Rupert Paget.

2 recordsLinked to original sources

Real-time synthesis of bleeding for virtual hysteroscopy.

In this paper we present a method for simulating bleeding in a virtual reality hysteroscopic simulator for surgical training. The simulated bleeding is required to be visually appealing while at the same time instantaneously responsive to any feedback that the surgeon may be conducing to the virtual environment. In order to meet these real-time requirements, we have based the simulation on graphical fluid solvers. These solvers primarily work best over a 2D domain. For correct visualization in the hysteroscopic simulator, it is, however, necessary to perform the simulation fully in 3D. Therefore in this paper we also present the design modifications for 3D graphical fluid solving and show how to use parallelization to maintain real-time behavior. We also discuss how the incorporation of massless particles into the simulation can improve the visual quality of the results by limiting numerical dissipation effects.

Blood Flow Velocity↗

Strong Markov random field model.

The strong Markov random field (strong-MRF) model is a submodel of the more general MRF-Gibbs model. The strong-MRF model defines a system whose field is Markovian with respect to a defined neighborhood, and all subneighborhoods are also Markovian. A checkerboard pattern is a perfect example of a strong Markovian system. Although the strong Markovian system requires a more stringent assumption about the field, it does have some very nice mathematical properties. One mathematical property is the ability to define the strong-MRF model with respect to its marginal distributions over the cliques. Also, a direct equivalence to the Analysis-of-Variance (ANOVA) log-linear construction can be proven. From this proof, the general ANOVA log-linear construction formula is acquired.

Algorithms↗