%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