5. FPGA Based Image Reconstruction

Funded by: University of Arizona, Faculty Small Grants Program

Student: Arjun Hari

Compressed Sensing (CS) theory promises a quantum leap forward in many areas of signal processing. One of its important application areas is medical imaging. However, extremely long reconstruction times make it both impractical for clinical use and problematic for further research. Configurable computers based on Field Programmable Gate Array (FPGA) hardware are capable of accelerating suitable applications by several orders of magnitude. Our objective is to develop a CPU-FPGA integrated engine tailored to the computational characteristics of CS reconstruction theory for medical image reconstruction. We expect that proposed tools will also be portable to other application areas of CS theory.