Thesis
High-performance deformable image registration for medical applications
Master of Science (M.S.), Drexel University
01 Jun 2015
DOI:
https://doi.org/10.17918/etd-6511
Abstract
Spline based deformation methods are common in medical imaging due to their robustness and accuracy. These methods require a significant amount of computation time in order to obtain a sufficiently accurate spatial deformation between two or more image volumes. This work focuses on comparing the thin-plate spline registration technique against the bspline on a variety of hardware architectures. The architectures in question include the common i5/i7 architecture with single and multiple threads, nVidia's CUDA architecture on the GTX760, and Intel's Xeon Phi architecture.
Metrics
43 File views/ downloads
29 Record Views
Details
- Title
- High-performance deformable image registration for medical applications
- Creators
- R. Andrew Benton II - DU
- Contributors
- James Shackleford (Advisor) - Drexel University (1970-)
- Awarding Institution
- Drexel University
- Degree Awarded
- Master of Science (M.S.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Number of pages
- iii, 30 pages
- Resource Type
- Thesis
- Language
- English
- Academic Unit
- College of Engineering (1970-2026); Electrical (and Computer) Engineering (1970-2026); Drexel University
- Other Identifier
- 6511; 991014632692104721