Pierre-Andr Vuissoz1,2, Freddy Odille3, Brice Fernandez, 1,4, Maelene Lohezic, 1,4, Adnane Benhadid1,2, Damien Mandry2,5, Jacques Felblinger1,6
1Imagerie Adaptative Diagnostique et Interventionnelle, Nancy-Universit, Nancy, France; 2U947, INSERM, Nancy, France; 3Centre for Medical Image Computing, University College London, London, United Kingdom; 4Global Applied Science Lab., GE healthcare, Nancy, France; 5Departments of Radiology, University Hospital Nancy, Nancy, France; 6CIC801, INSERM, Nancy, France
Clinical assessment of MRI data (e.g. myocardium function) is usually performed with breath-hold acquisitions. However, cardiac functional parameters are affected by breath-hold. The generalized reconstruction technique GRICS allows free-breathing acquisition protocols, and corrects for motion artifacts by inherently establishing a motion model. Here we show how this model can be used to decouple cardiac and respiratory motion, based on the available ECG and respiratory sensors. In 5 healthy volunteers, we analyzed the respective cardiac and respiratory contribution, in terms of motion vectors, in various regions of interest from the heart, enabling new insights in thoracic motion analysis.