Henrik Marschner1, Cornelius Eichner1, Alfred Anwander1, André Pampel1, and Harald E. Möller1
Diffusion
Weighted Images datasets with high spatial resolution and strong
diffusion weighting are often deteriorated with low SNR. Here, we
demonstrate the feasibility of a recently presented repetition-free
averaging based de-noising (AWESOME). That technique reduces noise by
averaging over a series of N images with varying contrast in
wavelet space and regains intensities and object features initially
covered by noise. We show that high resolution DWIs are achievable in
a quality that almost equals to that obtained from 6fold complex
averaging.
