Remote visualization using resource monitoring technique for volume rendering of large datasets

We present a remote visualization using resource monitoring technique for volume rendering which breaks a large volume data into pieces (sub-volumes) so as to maintain volume rendering processing in physical memory in consideration of the available system resources. Each sub-volume is transferred to a rendering PC (personal computer), which performs hardware accelerated volume rendering and generates a partial image (sub-image). The sub-images are piled up in depth order to complete the final image. This technique has been applied to remote visualization of 3D finite element analysis result of 3D flow through a lateral saccular aneurysm, and we evaluated at remote places between Kyoto and Iwate. As a result, we showed that it is possible to perform rendering of large dataset that surpasses the available resource on the client side, and our technique was effective the remote visualization.