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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    ABSTRACT: Recently, T2* imaging at 7 tesla (T) MRI was shown to reveal microstructural features of the cortical myeloarchitecture thanks to an increase in contrast-to-noise ratio. However, several confounds hamper the specificity of T2* measures (iron content, blood vessels, tissues orientation). Another metric, magnetization transfer ratio (MTR), is known to also be sensitive to myelin content and thus would be an excellent complementary measure because its underlying contrast mechanisms are different than that from T2*. The goal of this study was thus to combine MTR and T2* using multivariate statistics in order to gain insights into cortical myelin content. Seven healthy subjects were scanned at 7T and 3T to obtain T2* and MTR data, respectively. A multivariate myelin estimation model (MMEM) was developed, and consists in (i) normalizing T2* and MTR values and (ii) extracting their shared information using independent component analysis (ICA). B0 orientation dependence and cortical thickness were also computed and included in the model. Results showed high correlation between MTR and T2* in the whole cortex (r=0.76, p<10(-16)), suggesting that both metrics are partly driven by a common source of contrast, here assumed to be the myelin. Average MTR and T2* were respectively 31.0 +/- 0.3% and 32.1 +/- 1.4ms. Results of the MMEM spatial distribution showed similar trends to that from histological work stained for myelin (r=0.77, p<0.01). Significant right-left differences were detected in the primary motor cortex (p<0.05), the posterior cingulate cortex (p<0.05) and the visual cortex (p<0.05). This study demonstrates that MTR and T2* are highly correlated in the cortex. The combination of MTR, T2*, CT and B0 orientation may be a useful means to study cortical myeloarchitecture with more specificity than using any of the individual methods. The MMEM framework is extendable to other contrasts such as T1 and diffusion MRI. Copyright © 2015. Published by Elsevier Inc.
    NeuroImage 06/2015; 119. DOI:10.1016/j.neuroimage.2015.06.033 · 6.36 Impact Factor
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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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    NeuroImage 05/2015; 117. DOI:10.1016/j.neuroimage.2015.05.016 · 6.36 Impact Factor
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    • "Images were collected by means of an axial threedimensional , T1-weighted, fast field echo sequence (field of view 256 mm; view matrix 256 Á 256; repetition time 24 ms; echo time 5 ms; flip angle 40 degrees, slice thickness 1 mm). For the present study, volumetric measurements were extracted through a standard procedure using Freesurfer software (Greve and Fischl 2009; Postelnicu et al. 2009; Fischl 2012) version 4.5.0 (http:// Specifically, the 'recon-all' command embedded within Freesurfer was executed for all T 1 -weighted scan data and resulting anatomical volumes used for subsequent statistical analyses. "
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    Brain and Behavior 05/2014; 4(3). DOI:10.1002/brb3.226 · 2.24 Impact Factor
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