David Rigie1, Thomas Vahle2, Tiejun Zhao3, Björn Czekella4, Lynn J Frohwein4, Klaus Schäfers4, Fernando E Boada1. 1. Bernard and Irene Schwartz Center for Biomedical Imaging, NYU School of Medicine, New York, New York. 2. Siemens Healthcare GmbH, Erlangen, Germany. 3. Siemens Medical Solutions, New York, New York. 4. European Institute for Molecular Imaging, Münster, Germany.
Abstract
PURPOSE: To develop a flexible method for tracking respiratory and cardiac motions throughout MR and PET-MR body examinations that requires no additional hardware and minimal sequence modification. METHODS: The incorporation of a contrast-neutral rosette navigator module following the RF excitation allows for robust cardiorespiratory motion tracking with minimal impact on the host sequence. Spatial encoding gradients are applied to the FID signal and the desired motion signals are extracted with a blind source separation technique. This approach is validated with an anthropomorphic, PET-MR-compatible motion phantom as well as in 13 human subjects. RESULTS: Both respiratory and cardiac motions were reliably extracted from the proposed rosette navigator in phantom and patient studies. In the phantom study, the MR-derived motion signals were additionally validated against the ground truth measurement of diaphragm displacement and left ventricle model triggering pulse. CONCLUSION: The proposed method yields accurate respiratory and cardiac motion-state tracking, requiring only a short (1.76 ms) additional navigator module, which is self-refocusing and imposes minimal constraints on sequence design.
PURPOSE: To develop a flexible method for tracking respiratory and cardiac motions throughout MR and PET-MR body examinations that requires no additional hardware and minimal sequence modification. METHODS: The incorporation of a contrast-neutral rosette navigator module following the RF excitation allows for robust cardiorespiratory motion tracking with minimal impact on the host sequence. Spatial encoding gradients are applied to the FID signal and the desired motion signals are extracted with a blind source separation technique. This approach is validated with an anthropomorphic, PET-MR-compatible motion phantom as well as in 13 human subjects. RESULTS: Both respiratory and cardiac motions were reliably extracted from the proposed rosette navigator in phantom and patient studies. In the phantom study, the MR-derived motion signals were additionally validated against the ground truth measurement of diaphragm displacement and left ventricle model triggering pulse. CONCLUSION: The proposed method yields accurate respiratory and cardiac motion-state tracking, requiring only a short (1.76 ms) additional navigator module, which is self-refocusing and imposes minimal constraints on sequence design.
Authors: Thomas Küstner; Martin Schwartz; Petros Martirosian; Sergios Gatidis; Ferdinand Seith; Christopher Gilliam; Thierry Blu; Hadi Fayad; Dimitris Visvikis; F Schick; B Yang; H Schmidt; N F Schwenzer Journal: Med Image Anal Date: 2017-08-03 Impact factor: 8.545
Authors: Thomas Küstner; Christian Würslin; Martin Schwartz; Petros Martirosian; Sergios Gatidis; Cornelia Brendle; Ferdinand Seith; Fritz Schick; Nina F Schwenzer; Bin Yang; Holger Schmidt Journal: Magn Reson Med Date: 2016-09-25 Impact factor: 4.668
Authors: Konstantin Bolwin; Björn Czekalla; Lynn J Frohwein; Florian Büther; Klaus P Schäfers Journal: Phys Med Biol Date: 2018-01-26 Impact factor: 3.609
Authors: Thomas Vahle; Mario Bacher; David Rigie; Matthias Fenchel; Peter Speier; Jan Bollenbeck; Klaus P Schäfers; Berthold Kiefer; Fernando E Boada Journal: Invest Radiol Date: 2020-03 Impact factor: 6.016
Authors: Eddy Solomon; David S Rigie; Thomas Vahle; Jan Paška; Jan Bollenbeck; Daniel K Sodickson; Fernando E Boada; Kai Tobias Block; Hersh Chandarana Journal: Magn Reson Med Date: 2020-12-11 Impact factor: 4.668