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FPGA-based architectures of finite radon transform for medical image de-noising

Ahmad , Afandi and Abbes , Amira and Rabah, Hassan and Berviller, Yves FPGA-based architectures of finite radon transform for medical image de-noising. In: 2010 Asia Pacific Conference on Circuits and Systems (APCCAS 2010), 6-9 Disember 2010, Kuala Lumpur, Malaysia.

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This paper presents the design and implementation of finite Radon transform (FRAT) on field programmable gate array (FPGA). To improve the implementation time, Xilinx AccelDSP, a software for generating hardware description language (HDL) from a high-level MATLAB description has been used. FPGA-based architectures with three design strategies have been proposed: direct implementation of pseudacode with a sequential or pipelined description, and block random access memory @RAM)-based approach. Various medical images modalities have been deployed for both software simulation and hardware implementation. An analysis on the image de-noising using the FRAT is addressed and demonstrates a promising capability for medical image de-noising. Moreover, the impact of different block sizes on reconstructed images has been analysed. Furthermore, performance analysis in terms of area, maximum frequency and throughput is presented and reveals a significant achievement.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Finite Radon transform; medical image de-noising
Subjects: T Technology > T Technology (General)
Depositing User: Normajihan Abd. Rahman
Date Deposited: 13 Aug 2018 03:41
Last Modified: 13 Aug 2018 03:41
URI: http://eprints.uthm.edu.my/id/eprint/7948
Statistic Details: View Download Statistic

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