It is now possible to define a subject name prefix for every center associated to a study. This allows to have a better and standardize subject naming along the study. Example: – every subject from center Grenoble will have to start with “GRE-” – every subject from center Rennes will…
Dataset processing Dataset processing is an important part of neuro-imaging. Images can be processed for image segmentation, calibration, filtering and others procedures that will produce enhanced images. These images should be kept along with original ones. This is now possible in Shanoir to define a dataset processing with one or…
Shanoir-NG is now based on Spring Boot 2.4.5 and Java 11 to assure, that all technical frameworks Shanoir-NG is based on, remain up-to-date for all upcoming future extensions.
The idea of this feature is to allow users to put specific labels on subjects with colored tags. These tags can convey informations such as clinical scores of relevant information to discriminate subjects. Then the user will be able to filter subjects using these tags. Usage example: I have a…
The new search in Shanoir-NG is now even more user-friendly! Now to filter through millions of datasets using either the easy or expert mode, the result table can be modified in real-time: check columns you need or not, and even set with a background preview the desired pixel size for…
Shanoir-NG now imports MR Spectroscopy (MRS) DICOM files (SIEMENS), detects them and assigns their MR Dataset Nature automatically (single-voxel or multi-voxel). In parallel with that development a better management for DICOM Enhanced has been introduced, next to a better display of previously pseudonymized DICOM files (patient icon).
As a result of multiple user forums organized, the Shanoir development team has released the new search four weeks ago. The new search proposes two modes: easy and expert (with very complex search queries). The new search is very fast and allows to filter in seconds between hundreds of thousands…
