Robin Niklas Wilke1, Simon Konstandin1, Daniel Christopher Hoinkiss1, Martin Uecker2,3, and Matthias Günther1,4
1Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany, 2DZHK (German Centre for Cardiovascular Research), Partner Site Goettingen, Berlin, Germany, Goettingen, Germany, 3Institute for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany, 4MR-Imaging and Spectroscopy, Faculty 01 (Physics/Electrical Engineering), University of Bremen, Bremen, Germany
1Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany, 2DZHK (German Centre for Cardiovascular Research), Partner Site Goettingen, Berlin, Germany, Goettingen, Germany, 3Institute for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany, 4MR-Imaging and Spectroscopy, Faculty 01 (Physics/Electrical Engineering), University of Bremen, Bremen, Germany
Embedding
of a graphical, remote control interface of advanced MRI reconstruction
frameworks in a toolbox for medical image processing and visualization for
research and development
Fig.2: MeVisLab graphical user interface
showing basic modular concept: 1),2) a single MRI BART toolbox command (no
inputs/outputs) for simulation of Shepp-Logan phantom data with multiple
different coil sensitivities with graphical control unit, 3),4) readout module
for output of toolbox data with control unit, 5) MeVisLab visualization modules
for interactive data visualization, 6) MeVisLab interactive viewer for medical
imaging data
Fig.1: Top: Schematic of the set-up: Via the MeVisLab UI a user can control remote
MRI reconstruction and post-process any result with tools of the MeVisLab
toolbox. In the first step MRI data must be acquired and the raw data must be
transferred from the MRI scanner to the computing device. After composing a
remote reconstruction pipeline in the graphical user interface, remote
computation is launched and results can be analyzed in each step of the
pipeline. We have implemented a remote service to control MRI reconstruction
frameworks via docker containers.