Mapping residuals along tracts: An effective quality control approach for tract specific measurements
Elisa Scaccianoce 1,2 , Maria Marcella Lagan 1 , Francesca Baglio 1 , Giuseppe Baselli 2 , and Flavio Dell'Acqua 3
Don Carlo Gnocchi Foundation ONLUS, IRCCS S.
Maria Nascente, Milano, Italy,
of Electronics, Information and Bioengineering,
Politecnico di Milano, Milano, Italy,
Department of Neuroimaging, Institute of Psychiatry,
Psychology and Neuroscience, Kings College, London,
Diffusion-weighted signals are prone to artifacts. We
propose to map residuals along specific tracts aiming at
identifying outliers derived by artifacts. In different
tracts, for each subject, maximum residuals were
extracted and compared with an acceptance threshold. As
a result, subjects who were evaluated outlier in a tract
were not inevitably outliers for the others, suggesting
that some tracts did not cross artifacts. Hence datasets
considered completely unusable might be partially
recovered for further analysis while datasets evaluated
globally acceptable can be rejected when looking at
individual tracts. This is a new way to perform data
quality control for tract specific measurements.
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