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.
Keywords