BRAIM project develops and experimentally validates a set of techniques for processing different types of medical images that allow clinical professionals to make the best cooperative decisions for the diagnosis and treatment of brain diseases.

A set of tools is developed and validated. These tools, based on 3D resonance images of a patient, make possible to quickly and accurately calculate brain volumes and classify the patient according to a control database for the diagnosis of neurodegenerative diseases. In addition, this software allows, through the patient’s classification, to make an evolutionary prognosis of the patient under study. Although these tools can be useful in the diagnosis of multiple pathologies, the validation of the system in this project focuses on Parkinson’s and Multiple Sclerosis patients.

As for neuro-oncology, powerful tools are developed that allow clinical staff to determine, from anatomical images of 3D resonance, the total volume of a tumour lesion for the use of this variable in the next evolutionary controls. In addition, the information provided by these anatomical images can be merged with metabolic and functional images to, in a non-invasive way, provide greater knowledge about aspects related to the lesion (location, aggressiveness, extension, infiltrative pattern …). With all this, it is intended to help not only in the diagnosis of neoplasms and their follow-up, but also in making various crucial decisions such as therapeutic strategy.