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Abstract #3658

Reducing Motion Sensitivity in Free Breathing DWI of the Heart with Localized Principal Component Analysis

Stanislas Rapacchi1, Pierre Croisille, 1,2, Vinay Pai3, Denis Grenier1, Magalie Viallon4, Peter Kellman3, Nathan Mewton, 1,2, Han Wen3

1CREATIS, Universit Lyon 1, INSA Lyon, Villeurbanne, France; 2Hopital Cardiologique et Pneumologique L. Pradel, Lyon, France, France; 3LCE/NHLBI/NIH, United States; 4Hopital Cantonal Universitaire de Genve, Switzerland

Free breathing in vivo cardiac Diffusion Weighted Imaging (DWI) is highly sensitive to physiologic motion. To cope with this issue, we designed a DWI protocol which repeats image acquisition multiple times with incremental trigger delays to cover a large time window in diastole. After registration, a localized Principal Component Analysis (PCA) is employed to reduce inter images myocardium deformation, thus improving final image quality. Then temporal Maximal Intensity Projection (tMIP) (3) is used to find the diffusion weighted intensity for each pixel. We present the benefits of our method and preliminary results in healthy and diseased volunteers.