Brain Tumor Enhancing in Pre-contrast MRI Based on Deep Learning

Motivation: The project was motivated by the need to reduce reliance on contrast agents in MRI for brain tumor assessment, addressing issues of cost and patient discomfort associated with their use. Goal(s): To improve the visibility and recognition of tumors in T1-weighted MRI scans, eliminating the need for contrast agents. Approach: The approach involved registration, data augmentation, Pix2Pix-based image generation, and post-processing. Results: The results demonstrated that the method significantly improved tumor discernibility in T1-weighted MRI scans, offering a valuable diagnostic tool without the need for contrast agents. Impact: Our research provides an effective solution to enhance brain tumor visualization in MRI, directly benefiting patients and healthcare providers. By eliminating the need for contrast agents, our approach reduces costs, discomfort, and potential risks, advancing brain tumor diagnostics.