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Abstract #3811

Denoising of Highly Accelerated Real-Time Cardiac MR Images Using Extended Non-Local Means

Jean-Nol Hyacinthe1,2, Benoit Naegel3, Maurizio Tognolini4, Jean-Paul Valle1,2

1Faculty of medecine, University of Geneva, Geneva, Switzerland; 2Work supported in part by the Center for Biomedical Imaging (CIBM), Geneva and Lausanne , Switzerland; 3LORIA-UMR 7503, Vandoeuvres les Nancy, France; 4Swiss University of Applied Sciences, Geneva, Switzerland

Real-time cardiac MRI is of clinical importance in some patients (e.g. with arrythmias or in pediatrics). However, standard real-time MRI suffers from compromised spatiotemporal resolution. A new method for real-time denoising is presented to overcome signal-to-noise ratio (SNR) limitations of highly accelerated TSENSE acquisitions. This method is based on a multi-resolution rigid registration and an extended non-local means filter that uses redundancy between successive frames. The performances of this method, studied in 5 volunteers and 5 patients, and its computational efficiency allow in-line processing of highly accelerated real-time cardiac images, and should be compatible with clinical applications including stress studies.