%0 Journal Article
%T Low-Cost Low-Power Acceleration of a Microwave Imaging Algorithm for Brain Stroke Monitoring
%A Francesca Vipiana
%A Giovanna Turvani
%A Imran Sarwar
%A Jorge A. Tobon
%A Lorenzo Crocco
%A Mario R. Casu
%A Rosa Scapaticci
%J -
%D 2018
%R https://doi.org/10.3390/jlpea8040043
%X Abstract Microwave imaging can effectively image the evolution of a hemorrhagic stroke thanks to the dielectric contrast between the blood and the surrounding brain tissues. To keep low both the form factor and the power consumption in a bedside device, we propose implementing a microwave imaging algorithm for stroke monitoring in a programmable system-on-chip, in which a simple ARM-based CPU offloads to an FPGA the heavy part of the computation. Compared to a full-software implementation in the ARM CPU, we obtain a 5กม speed increase with hardware acceleration without loss in accuracy and precision. View Full-Tex
%K biomedical imaging
%K embedded systems
%K system-on-chip
%K hardware accelerator
%K field-programmable gate array
%U https://www.mdpi.com/2079-9268/8/4/43