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Data on the verification and validation of segmentation and registration methods for diffusion MRI

Authors :
Oscar Esteban
Dominique Zosso
Alessandro Daducci
Meritxell Bach-Cuadra
María J. Ledesma-Carbayo
Jean-Philippe Thiran
Andres Santos
Source :
Data in Brief, Vol 8, Iss , Pp 871-876 (2016)
Publication Year :
2016
Publisher :
Elsevier, 2016.

Abstract

The verification and validation of segmentation and registration methods is a necessary assessment in the development of new processing methods. However, verification and validation of diffusion MRI (dMRI) processing methods is challenging for the lack of gold-standard data. The data described here are related to the research article entitled “Surface-driven registration method for the structure-informed segmentation of diffusion MR images” [1], in which publicly available data are used to derive golden-standard reference-data to validate and evaluate segmentation and registration methods in dMRI. Keywords: Neuroimage, Image processing, MRI methods, Diffusion MRI

Details

Language :
English
ISSN :
23523409
Volume :
8
Issue :
871-876
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.53ff657a4c9341ee8fcfdc189d99e769
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2016.06.049