Medical image denoising on field programmable gate array using finite Radon transform
This study presents the design and implementation of efficient architectures for finite Radon transform (FRAT) on a field progammable gate array (FPGA). FPGA-baed architectures with two design strategies have been proposed: direct implementation of pseudo-code with a sequential or pipelined descript...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
The Institution of Engineering and Engineering Technology
2012
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1049/iet-spr.2011.0392 http://dx.doi.org/10.1049/iet-spr.2011.0392 http://eprints.uthm.edu.my/3863/1/afandi_ahmad_U.pdf |
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| Summary: | This study presents the design and implementation of efficient architectures for finite Radon transform (FRAT) on a field progammable gate array (FPGA). FPGA-baed architectures with two design strategies have been proposed: direct
implementation of pseudo-code with a sequential or pipelined description, and a block random access memory-based
approach. Various medical images modalities have been deployed for both software evaluation and hardware implementation.
Xilinx DSP tool has been used to improved the implementation time and reduce the design cycle and the Xilinx software has been used for generating a hardware description language from a high-level MATLAB description. Objective evaluation of image denoising using FRAT is carried out and demonstrates promising results. Moreover, the impact of different block sizes on image recognition has been analysed. Performance analysis in terms of area, maximum frequency and thgoughput is presented and reveals significant achievements. |
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