Combined Volumetric and Surface Registration

Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02176 USA.
IEEE transactions on medical imaging 05/2009; 28(4):508-22. DOI: 10.1109/TMI.2008.2004426
Source: PubMed


In this paper, we propose a novel method for the registration of volumetric images of the brain that optimizes the alignment of both cortical and subcortical structures. In order to achieve this, relevant geometrical information is extracted from a surface-based morph and diffused into the volume using the Navier operator of elasticity, resulting in a volumetric warp that aligns cortical folding patterns. This warp field is then refined with an intensity driven optical flow procedure that registers noncortical regions, while preserving the cortical alignment. The result is a combined surface and volume morph (CVS) that accurately registers both cortical and subcortical regions, establishing a single coordinate system suitable for the entire brain.

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    • ", bandwidth = 651 Hz/pixel, and scan time = 6.5 min. The reason for doing surface reconstruction from 3 T data is that this protocol has been thoroughly validated (Dale et al., 1999; Govindarajan et al., 2014; Postelnicu et al., 2009; van der Kouwe et al., 2008), in comparison with the 7 T MEMPR protocol , from which the less homogeneous B1+ profile can produce errors in segmentations. "
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    Full-text · Article · Jun 2015 · NeuroImage
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    • "For a detailed explanation of the two different approaches, see Smith and Kindlmann (2009). In Zöllei et al. (2010), it was shown that using combined volumetric and surface registration (CVS) (Postelnicu et al., 2009) to compute cross-subject alignment from anatomical images outperforms FNIRT for computing cross-subject alignment directly from the dMRI data. "
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