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

Oscar Esteban; Dominique Zosso; Alessandro Daducci; Meritxell Bach-Cuadra; María J Ledesma-Carbayo; Jean-Philippe Thiran; Andres Santos

doi:10.1016/j.dib.2016.06.049

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

Data Brief. 2016 Jul 2:8:871-6. doi: 10.1016/j.dib.2016.06.049. eCollection 2016 Sep.

Authors

Oscar Esteban¹, Dominique Zosso², Alessandro Daducci³, Meritxell Bach-Cuadra⁴, María J Ledesma-Carbayo¹, Jean-Philippe Thiran³, Andres Santos¹

Affiliations

¹ Biomedical Image Technologies (BIT), ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Spain.
² Department of Mathematics, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.
³ Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
⁴ Department of Radiology, CIBM, University Hospital Center (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

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: Diffusion MRI; Image processing; MRI methods; Neuroimage.