Abstract #4639
Training Labels for Hippocampal Segmentation Based on the EADC-ADNI Harmonized Hippocampal Protocol
Marina Boccardi 1 , Martina Bocchetta 1 , Felix Morency 2 , Masami Nishikawa 3 , Rossana Ganzola 4 , Michel Grothe 5 , Dominik Wolf 6 , Alberto Redolfi 1 , Michela Pievani 1 , Andreas Fellgiebel 6 , Hiroshi Matsuda 3 , Stefan Teipel 5 , Simon Duchesne 7 , Clifford R. Jack Jr. 8 , Giovanni B. Frisoni 1 , and Luigi Antelmi 1
1
IRCCS Fatebenefratelli, Brescia, Italy,
2
IMEKA,
Sherbrooke, Quebec, Canada,
3
Kawamura
Gakuen Woman's University, Abiko-City, Japan,
4
Universite
Laval, Quebec, Canada,
5
German
Center for Neurodegenerative Diseases, Rostock, Germany,
6
Johannes
Gutenberg-Universitt, Mainz, Germany,
7
Universite
Laval, Quebec, Quebec, Canada,
8
Mayo
Clinic, Rochester, Minnesota, United States
The EADC-ADNI Harmonized Protocol (HarP) is a Delphi
definition of manual hippocampal segmentation from MRI.
Training manual raters, and especially automated
segmentation algorithms, requires large datasets
representative of wide physiological variability. This
work produced a set of 270 hippocampal labels certified
to comply with standard HarP segmentation allowing
proper training of tracers and algorithms alike.
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