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.



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
ID Code:2057
Deposited By:Mrs Hasliza Hamdan
Deposited On:12 Mar 2012 11:44
Last Modified:12 Mar 2012 11:44

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