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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