MRICT

MRICT refers to an imaging approach that combines magnetic resonance imaging (MRI) and computed tomography (CT) to provide complementary anatomical and functional information for diagnosis and treatment planning. The term can describe either a single hybrid scanner that integrates MRI and CT capability or, more commonly, the use of MRI and CT data acquired separately and fused computationally through image registration.

Technology and methods vary. Hybrid MRI-CT systems are largely experimental and face technical challenges such as shielding, magnetic compatibility of CT components, and workflow integration. More often, clinicians obtain MRI and CT datasets on separate modalities and perform image fusion or co-registration to align the images for analysis. This fusion leverages MRI’s superior soft tissue contrast and functional information with CT’s rapid acquisition and detailed bone and calcification visualization. Advanced MRI sequences (diffusion, perfusion, functional MRI) can be combined with CT angiography or CT perfusion data to support comprehensive assessment.

Clinical applications include neuroimaging for tumor delineation and stroke assessment, oncology for tumor characterization and radiotherapy planning, musculoskeletal evaluation, and pediatric imaging where minimizing radiation exposure is a consideration. MRICT can improve target localization for surgery or radiotherapy by providing synchronized anatomical and functional insights.

Safety and limitations are important considerations. CT contributes ionizing radiation, while MRI imposes magnetic safety requirements and can be time-consuming. Hybrid systems are costly and require careful workflow management and robust image registration algorithms. Ongoing research aims to enhance real-time fusion, dose optimization, and AI-assisted alignment to broaden practical use.