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Abstract #2005

Assessing Universal Code Compression to Lower Wireless MRI Data Rates

Greig Scott1
1Electrical Engineering, Stanford University, Stanford, CA, United States


For wireless MRI data links employing simple ASK or DPSK binary modulation, there is a need to compress the k-space data to lower data rates and use less spectral bandwidth. We explored Fibonacci and Exp-Golomb universal codes for lossless compression. Our results indicate that compression can reduce rates to 1/3 to 1/4 of the original levels. Actual compression will depend on signal gain, as well as k-space trajectories. These results suggest the development of an MRI codec for future wireless or fiber optic RF coil array data links.

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