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A computational study of convoluted back projection algorithm.
1Institut für Allgemeine Elektrotechnik und Elektronik, Technical University of Vienna, Austria.
Computers in Biology and Medicine
|January 1, 1991
Summary
This study implemented computerized tomography reconstruction algorithms across various computers and programming languages. Performance was evaluated to understand practical application and efficiency.
Area of Science:
- Computerized Tomography
- Image Reconstruction
- Algorithm Performance
Background:
- Image reconstruction in computerized tomography (CT) involves complex mathematical computations.
- Practical implementation of these algorithms across diverse computing platforms is essential for widespread application.
Purpose of the Study:
- To describe the practical implementation of a tomographic reconstruction algorithm.
- To evaluate the performance of the algorithm on different computer types and programming languages.
Main Methods:
- Implementation of a tomographic reconstruction algorithm.
- Testing across a range of computers, from microcomputers to mainframes.
- Utilizing various programming languages, including BASIC and OCCAM.
Main Results:
- Demonstrated the feasibility of implementing tomographic reconstruction algorithms on diverse hardware.
- Provided performance data for different computer architectures and programming languages.
- Identified performance characteristics influenced by the chosen computing environment.
Conclusions:
- The practical implementation of tomographic reconstruction algorithms is achievable across a spectrum of computing resources.
- Performance is contingent upon the specific computer and programming language employed.
- This study offers insights into optimizing CT image reconstruction for different practical scenarios.