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Abstract #3936

Adaptive Heart Rate Prediction for Black-Blood Systolic Imaging

Julien Oster1,2, Brice Fernandez1,3, Malne Lohezic1,3, Damien Mandry1,4, Pierre-Andr Vuissoz1,2, Olivier Pietquin1,5, Jacques Felblinger1,2

1U947, Inserm, Nancy, France; 2IADI, Nancy-Universit, Nancy, France; 3Global Applied Science Lab., GE Healthcare, Nancy, France; 4CHU de Nancy, Nancy, France; 5IMS Research Group, SUPELEC Metz Campus, Metz, France

Cardiac MRI is still challenging. Image acquisitions are generally synchronized on R-waves of the electrocardiogram in order to avoid cardiac motion artifacts. Double inversion recovery fast spin echo sequences, which result in black-blood images, require an inversion time to cancel blood signal. This specific timing makes black-blood systolic imaging impossible. An adaptive heart rate prediction method, which combines a simple heart rate modeling and Kalman filtering, is described. Its implementation in a real-time hardware enables triggered acquisitions in every desired cardiac phase, without preparation time constraint. Black blood systolic images are presented demonstrating the acquisition strategy accuracy.