Abstract
The contrast provided by diffusion MRI has been exploited repeatedly for in vivo segmentations of thalamic nuclei. This paper systematically investigates the benefits of high-angular resolution (HARDI) data for this purpose. An empirical analysis of clustering stability reveals a clear advantage of acquiring HARDI data at b = 1000 s/mm2. However, based on stability arguments, as well as further visual and statistical evidence and theoretical insights about the impact of parameters, HARDI models such as the q-ball do not exhibit clear benefits over the standard diffusion tensor for thalamus segmentation at this b value.
I would like to thank Alfred Anwander (MPI CBS, Leipzig, Germany) for providing data and important feedback on this work. Gordon Kindlmann (University of Chicago) contributed through productive and inspiring discussions. This work has been supported by a fellowship within the DAAD Postdoc Program.
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Schultz, T. (2011). Segmenting Thalamic Nuclei: What Can We Gain from HARDI?. In: Fichtinger, G., Martel, A., Peters, T. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011. MICCAI 2011. Lecture Notes in Computer Science, vol 6892. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23629-7_18
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