Mustafa Okan Irfanoglu1, 2, Lindsay Walker1, 3, Raghu Machiraju4, Carlo Pierpaoli1
1NIH, NICHD, Bethesda, MD, United States; 2Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, United States; 3Center for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, United States; 4Computer Sciences & Engineering, The Ohio State University, Columbus, OH, United States
Diffusion imaging data generally requires additional postprocessing in order to correct for artifacts and distortions. Typical correction methodologies involve the use of image registration techniques, which employ some form of interpolation to generate the final corrected images. The effects of these interpolation steps have generally been disregarded in the community. In this work, we show that even with the same data and fixed registration correction parameters, the choice of interpolation technique can have a profound effect on the distribution of tensor derived scalar quantities, hence can affect the outcomes of histogram based analysis.
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