Abstract
Recently, a robust mathematical formulation has been introduced for the closed-form analytical reconstruction of the signal and the Mean Apparent Propagator (MAP) in diffusion MRI. This is referred to as MAP-MRI or 3D-SHORE depending on the chosen reference frame. From the MAP, microstructural properties can be inferred by the derivation of indices that under certain circumstances allow the estimation of pores’ geometry and local diffusivity, holding the potential of becoming the next generation of microstructural numerical biomarkers. In this work, we propose the assessment and validation of a subset of such indices that is RTAP, D, and PA for the quantitative analysis of axonal remodeling in the uninjured motor network after stroke. Diffusion Spectrum Imaging (DSI) was performed on ten patients and ten controls at different time points and the indices were derived and exploited for tract-based quantitative analysis. Our results provide quantitative evidence on the eligibility of the derived indices as microstructural biomarkers.
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Keywords
- Somatosensory Cortex
- Supplementary Motor Area
- Isotropic Scaling
- Simple Harmonic Oscillator
- Diffusion Spectrum Image
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Brusini, L. et al. (2015). Assessment of Mean Apparent Propagator-Based Indices as Biomarkers of Axonal Remodeling after Stroke. In: Navab, N., Hornegger, J., Wells, W., Frangi, A. (eds) Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015. MICCAI 2015. Lecture Notes in Computer Science(), vol 9349. Springer, Cham. https://doi.org/10.1007/978-3-319-24553-9_25
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DOI: https://doi.org/10.1007/978-3-319-24553-9_25
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