DataManager© is a software for the fusion, manipulation and the interactive visualisation of biomedical data. With Datamanager you can:

as the name says, manage all data collected in biomechanics modelling import data of very different nature combine, visualise, modify, and export the data have advanced functionalities for the registration and segmentation Save any visualisation as bitmap images.

DataManager© is one of the result of the MULTIMOD European project. It is currently maintained by B3C, and distributed as a freeware.

First and foremost, DataManager© is in our opinion the best vehicle for data sharing and collaborative working, because it removes the big issue of data formats. All imported data are stored into a single file (well, actually it is single directory), so no matter what you want to share, you can import it in the DataManager©, save it in the Multimod Storage Format (MSF) and share the latter with your peers. Anybody with the DataManager© can open the MSF file, visualise the various datasets it contains, and eventually export them in a format that is recognised by the programs you are using. The DataManager© is also a very good mean for collaborative projects. I can upload an MSF file containing the CT data set of a certain patient, and the surface of the femur I got by segmenting the data set. An anatomist downloads the file, places some landmarks at anatomically relevant locations, and uploads it again. A bioengineer download the file, and use the skeletal landmarks to define the possible location of the muscle insertions, and from them calculates the muscle forces, write them in the MSF file and upload it again. A biomechanics researcher calculates the muscle forces with another algorithm and store them alongside the other ones in the MSF file. Another colleague then uses the surface to generate the mesh, the BoneMat program to map the tissue properties from the CT data, and the muscle forces to impose the boundary conditions. The bone stresses predicted by the resulting finite element model are imported back in to the MSF file, which is uploaded once again. Now I can download my MSF, and correlate the clinical data of the patient with the stresses predicted.

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Do you want to know more about DataManager? Please, see the related published papers