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Abstract #4637

MANUAL SEGMENTATION QUALIFICATION PLATFORM FOR THE EADC-ADNI HARMONIZED PROTOCOL FOR HIPPOCAMPAL SEGMENTATION PROJECT

Simon Duchesne 1 , Fernando Valdivia 2 , Nicolas Robitaille 2 , Abderazzak Mouiha 2 , Abiel F. Valdivia 2 , Martina Bocchetta 3 , Liana G. Apostolova 4 , Rossana Ganzola 2 , Greg Preboske 5 , Dominik Wolf 6 , Marina Boccardi 3 , Clifford R. Jack Jr. 5 , and Giovanni B. Frisoni 3

1 Universite Laval, Quebec, Quebec, Canada, 2 Universite Laval, Quebec, Canada, 3 IRCCS Fatebenefratelli, Brescia, Italy, 4 UCLA, Los Angeles, CA, United States, 5 Mayo Clinic, Rochester, Minnesota, United States, 6 Johannes Gutenberg-Universitt, Mainz, Germany

We present early user cases for a platform for manual segmentation of the hippocampus on magnetic resonance images, set within the context of the EADC-ADNI Harmonized Protocol project (HarP). The interactive web system allows for protocol learning, segmentation training and qualification of the ability of new tracers to segment the hippocampus according to the HarP. Our objective was to demonstrate that the training process embedded in the platform led to increased compliance with the HarP. Statistical testing of training over three phases showed a significant effect of Jaccard overlap, demonstrating that training positively increased compliance with the HarP.

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