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Free keywords:
Biomedical imaging;Brain;Correlation;Diffusion tensor imaging;Educational institutions;Jacobian matrices;biodiffusion;biomedical MRI;brain;medical image processing;Jacobian determinants;T1-weighted magnetic resonance imaging;diffusion tensor imaging;image processing;novel computational framework;tensor-based morphometry;volumetric white matter parcellations;white matter connectivity;brain network;structural connectivity;tensor-based morphometry;white matter atlas;
Abstract:
We are interested in investigating white matter connectivity using a novel computational framework that does not use diffusion tensor imaging (DTI) but only uses T1-weighted magnetic resonance imaging. The proposed method relies on correlating Jacobian determinants across different voxels based on the tensor-based morphometry (TBM) framework. In this paper, we show agreement between the TBM-based white matter connectivity and the DTI-based white matter atlas. As an application, altered white matter connectivity in a clinical population is determined.