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Abstract #4676

MR software tools for real-time decision making and FOV prescription

Paul Wighton1, Oliver Hinds2, Robert Frost1,3, Malte Hoffmann1,3, Borjan Gagoski3,4, Divya Varadarajan1,3, Sebastien Proulx1,3, Martin Reuter1,3,5, Jonathan R. Polimeni1,3, Bruce Fischl1,3, Satrajit Ghosh3,6, and Andre van der Kouwe1,3
1Radiology, Martinos Center for Biomedical Imaging at MGH, Boston, MA, United States, 2Orchard Scientific, Yucca Valley, CA, United States, 3Radiology, Harvard Medical School, Boston, MA, United States, 4Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 5AI in Medical Imaging, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 6McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States

Synopsis

Keywords: Software Tools, Software Tools, Data Acquisition; Neuroscience

Motivation: Many cutting-edge MR neuroimaging paradigms require real-time decision making and precise FOV positioning. We present two software tools to support such paradigms.

Goal(s): Develop two modules.
1) vSend: opens a socket and sends imaging data to another computer in a vendor-agnostic format, enabling real-time analysis.
2) AAhijack: reads a matrix from a socket and overwrites the Siemens AutoAlign matrix, enabling online slice prescription.

Approach: Modules are implemented as Siemens image reconstruction modules (ICE functors) in C++ and two slice prescription systems utilizing the modules are demonstrated.

Results: The slice prescription systems have comparable performance and various advantages and disadvantages.

Impact: The software tools presented have enabled a variety of cutting-edge MR neuroimaging paradigms including real-time fMRI, motion tracker calibration, real-time shimming, fetal head-pose detection and automated FOV prescription, reacquisition planning and single-slice BOLD imaging FOV prescription.

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Keywords