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Abstract #3849

IceVespa: Automated Inline MR Spectral Processing and Fitting on the Clinical Platform

Brian J Soher1, James Joers2, Dinesh Deelchand2, and Gulin Oz2

1Radiology Center for Advanced MR Development, Duke University Medical Center, Durham, NC, United States, 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States

The IceVespa module is a flexible add-in functor for the Siemens IceProgramF ICE pipeline for MRS data. Raw MRS data is sent to a Python-based Vespa-Analysis spectral processing node via an XML-RPC client/server. Graphical and tabular spectral analysis fitting results are returned to the ICE pipeline and saved in the standard DICOM workflow. Analysis executes in its own process. XML-RPC was chosen for inter-process communication for its simplicity and flexibility for relocating the processing node using standard HTTP protocols. Combining Python-based IceVespa inline with standard C++ ICE processing increases processing algorithm choice while maintaining clinical access to quantitative MRS measures.

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