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

• Main Authors: Oscar Esteban, Dominique Zosso, Alessandro Daducci, Meritxell Bach-Cuadra, María J. Ledesma-Carbayo, Jean-Philippe Thiran, Andres Santos
• Format: Article
• Language: English
• Published: Elsevier 2016-09-01
• Series: Data in Brief
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340916304176
• ISSN: 2352-3409

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