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Abstract #2552

IceLuva: A Scripting Engine for Fast Development of Reconstruction Algorithms

Francesco Santini1, Sunil Patil1,2, Klaus Scheffler1

1Radiological Physics, University of Basel Hospital, Basel, Switzerland; 2Center for Applied Medical Imaging, Siemens Corporation, Corporate Research, Baltimore, MD, United States

Image postprocessing and analysis is often an important part of the image reconstruction process, especially in quantitative MR imaging. This step is usually performed in a research environment by exporting images to a separate desktop computer and using commercial software packages. In this work, we present a simplified framework based on an open source scripting engine (Lua) that integrates in the scanner reconstruction pipeline, and allows simple and fast deployment of postprocessing and analysis programs.