End-to-end machine learning based multi-modal multi-dimensional image registration

RPI ID: 2021-050-201

Innovation Summary:
This system performs multi-modal, multi-dimensional image registration using a hybrid approach that combines spatial mapping and intensity-based alignment. It supports registration across imaging modalities such as MRI, CT, and PET. The method improves accuracy in anatomical and functional image fusion. It is optimized for clinical workflows and research applications.

Challenges / Opportunities:
Image registration across modalities is complex due to differences in resolution and contrast. This invention addresses those challenges by integrating multiple registration strategies. It enables precise alignment for diagnostics, surgical planning, and longitudinal studies. The system supports real-time processing and automation.

Key Benefits / Advantages:
✔ Multi-modal image alignment
✔ Improved registration accuracy
✔ Supports clinical and research use
✔ Real-time processing
✔ Compatible with major imaging formats

Applications:
• Medical imaging
• Surgical planning
• Longitudinal studies

Keywords:
#imageregistration #multimodalimaging #medicalimaging #imagefusion #clinicalworkflow #diagnostics

Intellectual Property:
US Application 18/092531 US20230281751A1 filed 03-Jan-2023

Patent Information: