Florian Maier1,
Renjie He1, Alexander Brunner2, Kamran Ahrar3,
John D. Hazle1, R. Jason Stafford1
1Department
of Imaging Physics, The University of Texas M. D. Anderson Cancer Center,
Houston, TX, United States; 2Department of Medical Physics in
Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; 3Department
of Interventional Radiology, The University of Texas M. D. Anderson Cancer
Center, Houston, TX, United States
During MRI-guided interventions, e.g. percutaneous needle biopsies, interventionalists often need to change slice positions and sequence parameters to hit the planned target position accurately and safely. In this work, we propose a new MR-based hand gesture recognition method to allow for convenient parameter changes by the interventionalist during the procedure. A pulse sequence extension was developed that acquires an additional thick slice at a fixed position. The hand shapes are classified based on their first 16 Fourier descriptors. The results show that the method allows for robust parameter modification in real time.