RPI ID: 2023-082-301
Innovation Summary: This technology introduces systems and methods for registering multi-modal and multi-dimensional images, enabling alignment of data from different imaging modalities and spatial dimensions. The system uses advanced algorithms to match features across modalities such as MRI, CT, PET, and others, improving the accuracy of composite image generation. It supports both rigid and non-rigid registration techniques and is optimized for clinical and research imaging workflows. The method enhances diagnostic precision and supports longitudinal studies by aligning images over time and across modalities.
Challenges / Opportunities: Image registration across modalities and dimensions is computationally intensive and prone to errors due to differences in resolution, contrast, and anatomical variability. This invention addresses the need for robust, scalable registration tools that can handle complex datasets. It opens opportunities for improved diagnostics, treatment planning, and research in fields such as oncology, neurology, and cardiology. The system also supports integration with AI-driven analysis pipelines.
Key Benefits / Advantages: ✔ Accurate alignment of multi-modal and multi-dimensional images ✔ Supports rigid and non-rigid registration ✔ Enhances diagnostic and research imaging workflows ✔ Compatible with clinical imaging modalities ✔ Scalable for longitudinal and population-level studies
Applications: • Medical imaging and diagnostics • Research imaging in neuroscience, oncology, and cardiology
Keywords: Image registration, multi-modal imaging, medical diagnostics, spatial alignment, non-rigid registration
Intellectual Property: WO2025030078A2 (Application PCT/US2024/040674), Published August 2, 2024