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

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

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Abstract

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 pseudocode with a sequential or pipelined description, and block random access memory (BRAM)-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)
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electronic Engineering
Depositing User: Mrs Hasliza Hamdan
Date Deposited: 12 Mar 2012 03:44
Last Modified: 12 Mar 2012 03:44
URI: http://eprints.uthm.edu.my/id/eprint/2057
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