de.NBI Cloud Storage Tübingen. A federated and georedundant solution for large scientific data

The »German Network for Bioinformatics Infrastructure«, or in short »de.NBI«, is a national research infrastructure providing bioinformatics services to users in life sciences research, biomedicine and related fields. At five sites across Germany, cloud sites were established to host the bioinformatics services. In Tübingen an extension of the storage capabilites of the cloud was planned, implemented and brought into production. We here report about the motivation, requirements, design decisions and experiences which might serve as inspiration for other large scale storage endeavours in the academic domain

Dependence of ventilation image derived from 4D CT on deformable image registration and ventilation algorithms

Ventilation imaging using 4D CT is a convenient and low-cost functional imaging methodology which might be of value in radiotherapy treatment planning to spare functional lung volumes. Deformable image registration (DIR) is needed to calculate ventilation imaging from 4D CT. This study investigates the dependence of calculated ventilation on DIR methods and ventilation algorithms. DIR of the normal end expiration and normal end inspiration phases of the 4D CT images was used to correlate the voxels between the two respiratory phases. Three different DIR algorithms, optical flow (OF), diffeomorphic demons (DD), and diffeomorphic morphons (DM) were retrospectively applied to ten esophagus and ten lung cancer cases with 4D CT image sets that encompassed the entire lung volume. The three ventilation extraction methods were used based on either the Jacobian, the change in volume of the voxel, or directly calculated from Hounsfield units. The ventilation calculation algorithms used are the Jacobian Delta V, and HU method. They were compared using the Dice similarity coefficient (DSC) index and Bland-Altman plots. Dependence of ventilation images on the DIR was greater for the Delta V and the Jacobian methods than for the HU method. The DSC index for 20% of lowventilation volume for Delta V was 0.33 +/- 0.03 (1 SD) between OF and DM, 0.44 +/- 0.05 between OF and DD, and 0.51 +/- 0.04 between DM and DD. The similarity comparisons for Jacobian were 0.32 +/- 0.03, 0.44 +/- 0.05, and 0.51 +/- 0.04, respectively, and for HU they were 0.53 +/- 0.03, 0.56 +/- 0.03, and 0.76 +/- 0.04, respectively. Dependence of extracted ventilation on the ventilation algorithm used showed good agreement between the Delta V and Jacobian methods, but differed significantly for the HU method. DSC index for using OF as DIR was 0.86 +/- 0.01 between Delta V and Jacobian, 0.28 +/- 0.04 between Delta V and HU, and 0.28 +/- 0.04 between Jacobian and HU, respectively. When using DM or DD as DIR, similar values were obtained when comparing the different ventilation calculation methods. The similarity values for the 20% high-ventilation volume were close to those found for the 20% low-ventilation volume. The results obtained with DSC index were confirmed when using the Bland-Altman plots for comparing the ventilation images. Our data suggest that ventilation calculated from 4D CT depends on the DIR algorithm employed. Similarities between Delta V and Jacobian are higher than between Delta V and HU, and Jacobian and HU