Keywords:
Workforce, Intraoperative, Computer Applications-General, MR, MR physics, Interventional non-vascular, Computer applications
Authors:
F. V. Güttler, A. Heinrich, F. Herrmann, U. K. M. Teichgräber; Jena/DE
DOI:
10.1594/ecr2018/C-1819
Methods and materials
Gesture recognition software for controlling a 1.5T MRI (Magnetom Avanto,
Siemens,
Germany) was implemented based on a MR-compatible camera (MR CAM Model 12M,
MRC Systems,
Germany) and Matlab R2014b (MathWorks,
USA) (Fig.
1).
A MR compatible in-room display shows the MRI user interface via virtual desktop mirroring.
The hand gestures presented to the MR camera were analysed by the software running on a separate desktop computer in the anteroom (Fig.
2).
The commands to control the MRI console were transmitted by an automation software script (AutoIt v3,
AutoIt Consulting Ltd.,
Birmingham,
United Kingdom) simulating keyboard and mouse controls via a remote desktop software (Expert-I,
Siemens,
Erlangen,
Germany) controlling the MRI console.
The system was evaluated on a phantom by ten test persons,
which have to navigate the field of view (FOV) to the center of three tumor-like target areas and start the data acquisitions,
only with hand gestures.