Parallel implementation of cone beam tomography

Authors :: David A. Reimann
Vipin Chaudhary
Ishwar K. Sethi
Michael J. Flynn
Source :: ICPP, Vol. 2
Publication Year :: 2002
Publisher :: IEEE Comput. Soc. Press, 2002.
Abstract: Three dimensional computed tomography is a computationally intensive procedure, requiring large amounts of RAM and processing power. Parallel methods for two dimensional computed tomography have been studied, but not extended 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. We show an improvement in performance from 58.2% to 81.8% processor utilization in a heterogeneous cluster of workstations by load balancing. A 96.8% efficiency was seen using a 2 processor SMP.

Subjects :: medicine.diagnostic_test
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Parallel algorithm
Load balancing (electrical power)
Computed tomography
Iterative reconstruction
Power (physics)
Computational science
Cone (topology)
Computer graphics (images)
medicine
Tomography
Beam (structure)

Database :: OpenAIRE
Journal :: Proceedings of the 1996 ICPP Workshop on Challenges for Parallel Processing
Accession number :: edsair.doi...........d2dc555cb507471222be0462d9d98413
Full Text :: https://doi.org/10.1109/icpp.1996.537397