Name
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 pseudo-code 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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/APCCAS.2010.5774903 | APCCAS |
Keywords | Field | DocType |
software simulation,pseudocode implementation,random-access storage,medical image denoising,fpga based architecture,hardware implementation,block random access memory,hardware description languages,image denoising,finite radon transform,pipelined description,image reconstruction,field programmable gate array,xilinx acceldsp,radon transforms,frat,medical image de-noising,field programmable gate arrays,matlab description,hardware description language,medical image processing,radon transform,computer architecture,hardware,psnr,biomedical imaging | Iterative reconstruction,Finite radon transform,MATLAB,Computer science,Medical imaging,Field-programmable gate array,Electronic engineering,Software,Throughput,Hardware description language | Conference |
ISBN | Citations | PageRank |
978-1-4244-7454-7 | 0 | 0.34 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Ahmad | 1 | 16 | 5.36 |
| Abbes Amira | 2 | 402 | 67.73 |
| Hassan Rabah | 3 | 72 | 10.84 |
| Yves Berviller | 4 | 15 | 5.06 |