Abstract #2987
Are SHORE-based biomarkers suitable descriptors for microstructure in DSI?
Lorenza Brusini 1 , Mauro Zucchelli 1 , Alessandro Daducci 2 , Cristina Granziera 3,4 , and Gloria Menegaz 1
1
Computer Science, University of Verona,
Verona, Verona, Italy,
2
EPFL,
Lausanne, Switzerland,
3
Siemens
Healthcare IM BM PI & Department of Radiology, CHUV,
Lausanne, Switzerland,
4
Department
of Clinical Neurosciences, CHUV, Lausanne, Switzerland
Micro-structural indexes based on a novel reconstruction
method for diffusion MRI data (SHORE) have recently been
proposed and require proper validation. In this work, we
derive and analyze SHORE descriptors on a group of human
Diffusion Spectrum Imaging (DSI) data. The study aimed
at determining their descriptive power, reliability and
relations with established indexes of connectivity
microstructure. Results suggest that such new biomarkers
are sensitive to tissue microstructure properties and
allow discriminating not only between white (WM) and
gray (GM) matter but also regions with different WM
topologies, besides providing an estimate of the
ensemble average axons diameter.
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