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.