Human brain structural MRI templates with low spatial resolution lack important fine details due to partial volume effects. The purpose of this work was twofold: a) to introduce a novel approach for high-resolution template construction based on principles of super-resolution, and b) using this technique, to develop a high-resolution structural template of the older adult brain based on MRI data from 222 non-demented older adults.
T1-weighted brain MRI data (1mm isotropic) obtained from 222 nondemented older adults (65-95 age-range, male:female=1:1) participating in the Memory and Aging Project1 were used in this work. The proposed method for high-resolution template construction comprised of the following steps:
Step 1: Raw images of isotropic 1mm resolution were rigidly and non-linearly aligned in a 0.5mm resolution space using the ANTs2,3 SyN4 based template-building method.
Step 2: The resulting non-linear deformations were utilized to map the image intensities of the rigidly transformed 0.5mm resolution images to exact physical locations (x,y,z) in the 0.5mm template space, eliminating the interpolations that occur in conventional template-building method (Fig.1).
Step 3: The final intensity in each voxel in template space was calculated as the weighted average of the intensities contained in that voxel, using a Gaussian kernel of standard deviation 0.5 from the median of those intensities (Fig.1). This approach is less sensitive to the effects of residual misregistration. Overall, 85% of the voxels in template space had a weight of 0.3 or higher for at least 50% of the intensities included in those voxels (Fig.2) signifying that the majority of the raw signals were utilized in constructing the template.
The newly constructed template, referred to as IITAging_0.5mm, was compared to other 0.5mm resolution templates of i) mainly middle-aged and older adults (MCALT_0.5mm5) and ii) young adults (ICBM2009b_0.5mm6,7 and Colin27_0.5mm8), as well as to a recently presented, highly performing, 1mm resolution template constructed from the same raw data using the traditional ANTs SyN template-building method (IIT-Aging9)(Fig.3A). The templates were first compared by visual inspection, and then in terms of image sharpness as demonstrated by the normalized power spectral density, and inter-subject spatial normalization accuracy achieved when used as references for normalization of T1-weighted data (1mm x 1mm x 1.2mm resolution) from 175 non-demented ADNI10 participants. Normalization accuracy was assessed for each template by means of the average pair-wise normalized cross-correlation, standard deviation, and average absolute log-Jacobian determinant in gray matter of the ADNI participants.
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