Abstract
In this research, novel architectures based on different design approaches and arithmetic techniques such as direct mapping implementation, dynamic partial reconfiguration (DPR) mechanism, distributed arithmetic (DA) and systolic array (SA) will be developed for three dimensional (3D) medical image compression system. Moreover, solutions for processing large medical volumes will be investigated and power modelling of the architectures developed will be carried out on different field programmable gate array (FPGA) platforms. The ultimate aim of this research is to examine the most efficient reconfigurable architectures for 3D medical image compression. In this paper, the research framework and a case study addresses the performance of 3D Haar wavelet transform (HWT) with DPR mechanism are discussed and evaluated. Results obtained have shown the advantages offered by DPR and lead to a promising solution for implementing computationally intensive applications such as 3D medical image compression.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
