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Abstract #4612

High Frame Rate Cardio-Respiratory Imaging Using Model-Based Reconstruction

Pierre-Andr Vuissoz1,2, Freddy Odille1,3, Brice Fernandez1,4, Maelene Lohezic1,4, Adnane Benhadid1,2, Damien Mandry1,5, Jacques Felblinger2,6

1IADI, Nancy-Universit, Nancy, France; 2U947, INSERM, Nancy, France; 3Centre for Medical Image Computing, University College London, London, UK; 4Global Applied Science Lab., GE healthcare, Nancy, France; 5CHU de Nancy, Nancy, France; 6CIC-IT 801, INSERM, Nancy, France

The recently described Generalised Reconstruction by Inversion of Coupled Systems (GRICS) algorithm enables to build a model of image deformation correlated to physiological sensors such as ECG or respiratory belt. Since these physiological signals are recorded at high sampling rate, this enables to reconstitute a real time high resolution (256x256) movie of thoracic motion with quality comparable to breath-hold acquisitions. 18 reconstitutions of thoracic motion of 16s long at 25fps. have been computed. Both breathing and cardiac beating of the healthy subject can be observed in different orientations, in particular cardiac short axis and both vertical and horizontal long axes.