Accurate delineation of functional and structural brain regions is essential to minimize surgical risks in patients with intracranial tumors. This study introduces a multimodal and open-source approach that integrates diffusion-derived anisotropy maps with resting-state functional MRI (rs-fMRI) connectivity data to enhance preoperative trajectory planning. MRI datasets from five adult patients were processed using tissue segmentation to extract relevant white matter (WM) and gray matter (GM) features. These maps were combined into a single 3D biomarker volume, facilitating the identification of safe surgical corridors. A trajectory optimization algorithm evaluated candidate paths based on voxel-wise structural and functional weights, prioritizing those that preserve critical brain regions. All proposed trajectories were assessed by experienced neurosurgeons, confirming their anatomical feasibility and surgical relevance. The workflow is compatible with standard navigation systems and provides a reproducible alternative for connectivity-informed neurosurgical planning. Future iterations aim to account for intraoperative changes such as brain shift, further increasing clinical utility.