Cone Beam Tomography using MPI on Heterogeneous Workstation Clusters - MPI Developer's Conference, 1996. Proceedings., Second
نویسندگان
چکیده
With cone beam CT long computation and a large amount of memory is required. The majority of the computation is in the backprojection step. We have investigated the use of parallel methods on workstation clusters using MPI to overcome both the long processing t ime and lessen memory requirements on individual workstations. We used the asynchronous MPI implementation t o reconstruct a 25€i3 volume from 2562 projection views with 6 workstations. Our previous efforts an load balancing resulted an processor utilizat ion of 81.8%. Use of asynchronous communication an the cone beam CT problem has improved processor utilization to 91.9%.
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Parallel Implementation of Cone Beam Tomography
Three dimensional computed tomography is a computationally intensive procedure, requiring large amounts of R A M and processing power. Parallel methods for two dimensional computed tomography have been studied, but not edended or applied to 3D cone beam tomography. A discussion on how the 3D cone beam tomography problem can be implemented in parallel using MPI is given. W e show an improvement ...
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