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.