Effect of Sampling on the Estimation of the Apparent Coefficient of Diffusion in MRI (ICASSP 2017)
Poster Presented at IEEE ICASSP 2017 (New Orleans, LA)
Abstract: The Apparent Diffusion Coefficient (ADC) is a quantitative measure derived from Diffusion Weighted MRI that is able to asses the amount of water diffusion within living tissues. It is widely used in the clinical routine for diagnosis, characterization of different diseases and to evaluate response to therapy. For ADC estimation, the diffusion signal needs to be sampled using a small number of values, presenting distortions due to the aliasing and windowing effect. In this work, we theoretically study these effects and propose some new robust estimators for ADC based on the Fourier Transform of the signal.