Three-dimensional medical image analysis using local dynamic algorithm selection on a multiple-instruction, multiple-data architecture. Doctoral thesis
The dissertation outlines development of a medical imaging machine which renders 3D images from voxel data within a MIMD multiprocessor architecture at interactive rates. Interactive performance is achieved using local dynamic selection of the optimum adaptive recursive hidden-surface removal algorithm. A survey of the medical imaging, graphics, and medical imaging modality literature is provided. A description of Computerized Technology, Magnetic Resonance Imaging, Positron Emission Tomography, Single Photon Emission Computed Tomography, and Ultrasound imaging modalities is presented Previous work in 3D volume rendering graphics techniques and data models is introduced. Eleven medical imaging machines are examined with emphasis on characterization of the major innovation(s) and performance of each machine. A five stage image processing pipeline is described.
- Research Organization:
- Air Force Inst. of Tech., Wright-Patterson AFB, OH (USA)
- OSTI ID:
- 7192764
- Report Number(s):
- AD-A-218024/8/XAB; AFIT/CI/CIA-89-158
- Resource Relation:
- Other Information: Thesis
- Country of Publication:
- United States
- Language:
- English
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