Stereotactic MRI-guided radiosurgery using AI resting state networks recognition

Stereotactic radiosurgery (SRS) is a minimally invasive procedure that reduces tumor size without subjecting surrounding organs at risk (OAR) to harmful radiation levels. The delimitation of OAR in SRS planning, and the conservation of the prescribed dose in tumoral regions, can be improved by the implementation of independent component analysis to obtain resting-state fMRI networks (RSNs). In this aspect, AI plays an important role to decrease computational-processing times while increasing the method’s efficiency. One of the main solved challenges was the lack of compatibility between the Nifti protocol (RSNs format) and the treatment planning system’s protocol (coordinate system of CT-simulation).