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Abstract #2993

PCATMIP: Enhancing Signal Intensity in DW-MRI

Vinay Manjunath Pai1, Stanislas Rapacchi2, Peter Kellman1, Pierre Croisille2, Han Wen1

1NHLBI, National Institutes of Health, Bethesda, MD, United States; 2Laboratoire CREATIS, INSA de Lyon, Lyon, France

Diffusion-weighted MRI (DWI) studies in body imaging generally lose signal intensity to physiological motion, which can adversely affect quantification and diagnosis. While averaging over multiple repetitions improves signal-to-noise ratio (SNR), it does not recover the attenuated signal intensity. We present PCATMIP, a combined Principal Component Analysis (PCA) and Temporal Maximum Intensity Projection (TMIP) approach, as a means to resolving this issue. Numerical simulations and experimental results using porcine liver data show that PCATMIP yields higher signal intensity and less variability than averaging and higher SNR than TMIP, thus achieving an optimal balance between averaging and TMIP for processing DWI data.