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Abstract #3815

ImFEATbox: An MR Image Processing Toolbox for Extracting and Analyzing Features

Annika Liebgott1,2, Sergios Gatidis1, Petros Martirosian1, Fritz Schick1, Bin Yang2, and Thomas Küstner1,2

1Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tübingen, Germany, 2Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany

In various image processing applications, finding appropriate mathematical descriptions which reflect or extract characteristics of the underlying content from acquired MR images is an important and crucial step. There exists a variety of features which can be used for MRI, but which ones are the most meaningful depends on the underlying scientific or diagnostic question/application as well as the image itself. To reduce the time spent searching for, implementing and testing features for a specific application, we provide a toolbox of features along with a GUI to easily choose and extract them, which will be made publicly available.

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