Meeting Banner
Abstract #2998

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

1 Don Carlo Gnocchi Foundation ONLUS, IRCCS S. Maria Nascente, Milano, Italy, 2 Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy, 3 NATBRAINLAB, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, Kings College, London, United Kingdom

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here