Building an Average Population HARDI Atlas
نویسندگان
چکیده
We present a framework to build a High Angular Resolution Diffusion Image (HARDI) Atlas based on a population of HARDIs from different subjects. The method relies on a non-linear group-wise registration algorithm as well as a set of tools to re-orient the gradient directions of individual subjects and re-interpolate their diffusion weighted signal in a canonical gradient direction set in atlas space. We test the technique on a population of forty six HARDIs acquired on a 3 Tesla scanner. Our experiments show that our atlas can capture information beyond that of a single tensor, even with the inherent smoothing effect of averaging many different brains together.
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تاریخ انتشار 2010