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Abstract #1798

Reconstruction of 3D T2-weighted brain volumes from 2D high-resolution sequences

Andrea Nordio 1 , Denis Peruzzo 1,2 , Fabio Triulzi 1,3 , and Filippo Arrigoni 1

1 Neuroimaging, Scientific Institute, IRCCS E.Medea, Bosisio Parini, Lecco, Italy, 2 Computer Science, University of Verona, Verona, Italy, 3 Neuroimaging, Fondazione IRCCS Ca' Granda, Ospedale Maggiore, Policlinico, Milano, Italy

In clinical practice, 2D T2-weighted images are usually acquired with an high in-plane resolution, but with really depth thickness to avoid low signal-to-noise ratio (SNR) and too long acquisition times. A quantitative analysis of cortical structures has never been performed because of resolutions constraints. Our purpose in this project was to build a 3D T2-weighted isotropic volume from a series of high-resolution 2D T2-weighted images using a Super-Resolution algorithm. The results allowed us to detect small structures, such as cortical layers on multiplanar reconstructed planes, confirming the robustness off the method and allowing future quantitative measurements.

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