Dear Shanoir community, we are very happy about this new and exciting announcement:We have upgraded the already integrated viewer in Shanoir, OHIF (more here)from version 2 to version 3 (precisely to a very latest ohif/app:v3.9.0-beta.76).This was quite some work as main parts of the configuration and backend (dicomweb)requirements slightly changed.…
We have updated Shanoir to Spring Boot 3.2.2 and are now in line with nearly the latest release of Spring Boot. We are looking forward to Java 21 and Virtual Threads! coming soon… excited about the performance gain, that we will get from that, as we are a quite database…
In the last two weeks, we have released version 2.1.0 and 2.1.1 of Shanoir. Please find here the release notes: https://github.com/fli-iam/shanoir-ng/wiki/release-notes#release-notes-v211-2024-03-13
Hi, we released recently a new version of ShanoirUploader (our Desktop application), v8.0.0, that runs now on Java 17 and could successfully test it within one university hospital in France.
We experimented recently with some MRI sequences, that reached the size of up to 30Gb per examination and could successfully import them into Shanoir, after some server configuration.
We will very soon release a new version of Shanoir, v1.4.3, that will bring Shanoir further on the FAIR principles. We will expose publicly findable meta-data from schema.org, that declares a Shanoir server instance is a DataCatalog. This is the first step of multiple upcoming steps to make data in…
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 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).
