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
In
cardiac MRI, myocardium function is usually studied through breath hold
acquisitions, limiting the achievable spatial and temporal resolution. The
recently proposed CINE-GRICS algorithm allows reconstructing cardiac cine
images from free-breathing scans without any limitation regarding spatial
resolution, as motion is corrected for by a motion model. In 2D short axis
balanced-SSFP scans, we assess the benefit of using the motion-compensated
strategy for high spatial and temporal resolution CINE, with matrix sizes
from 128x128 to 512x512. Resulting images were assessed visually and using entropy-based
metrics, and showed improved sharpness and better depiction of fine cardiac
structures.