Slavisa Jovanovic1,2, Laure Rousselet1,2, Lucas Albouy1,2, Pierre-Andr Vuissoz1,2, Cdric Pasquier3,4, Jacques Felblinger1,2
1Imagerie Adaptative Diagnostique et Interventionnelle, Nancy-Universit, Nancy, France; 2U947, INSERM, Nancy, France; 3CIT801, INSERM, Nancy, France; 4CIC-IT,CHU-Nancy, Nancy, France
Physiological motions can impair MR image quality by generating artifacts. To overcome or decrease artifact generation in MR images, synchronization or image processing techniques taking into account these motions must be employed. In order to validate either new motion sensors or motion correction algorithms in MRI environment before their use in clinics, a reproducible motion generation system is needed. Most of the solutions we find in literature are limited to a small range of applications and basic motion types. Within this framework, we present a dynamic fully MRI-compatible motion generation platform which was developed to evaluate the influence of its generated motion on MR image quality of phantoms and to assess image processing algorithms used for motion artifacts removal. As an initial test, we evaluate a motion correction algorithm GRICS by imposing on its inputs a known 2D motion generated with the developed mobile platform.