Multiple RF classifier for the hippocampus segmentation: Method and validation on EADC-ADNI Harmonized Hippocampal Protocol

Multiple RF classifier for the hippocampus segmentation: Method and validation on EADC-ADNI Harmonized Hippocampal Protocol

Highlights • We present a voxel-by-voxel based algorithm for automated hippocampal segmentation. • A Multiple Random Forests algorithm was used to classify each voxel. • Structural MRI from EADC-ADNI Harmonized Protocol labels is used as gold standard. • The method is validated on a cohort of 50 T1...

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Veröffentlicht in:Physica medica 2015-12, Vol.31 (8), p.1085-1091
Hauptverfasser: Inglese, P, Amoroso, N, Boccardi, M, Bocchetta, M, Bruno, S, Chincarini, A, Errico, R, Frisoni, G.B, Maglietta, R, Redolfi, A, Sensi, F, Tangaro, S, Tateo, A, Bellotti, R
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Alzheimer's disease
Hippocampus
Hippocampus segmentation
Imaging, Three-Dimensional - methods
Magnetic Resonance Imaging
Radiology
Random forest classifier
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Zusammenfassung:Highlights • We present a voxel-by-voxel based algorithm for automated hippocampal segmentation. • A Multiple Random Forests algorithm was used to classify each voxel. • Structural MRI from EADC-ADNI Harmonized Protocol labels is used as gold standard. • The method is validated on a cohort of 50 T1 MRI scans for diagnosis of dementia. • A test on an independent database of MRI scans has been presented.
ISSN:1120-1797
1724-191X
DOI:10.1016/j.ejmp.2015.08.003