UTHM Institutional Repository

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.

Full text not available from this repository.

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 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

Actions (login required)

View Item View Item