Clinical Significance Of Creative 3D-Image Fusion Across( CT+MR) Modalities Based On Approach Of Characteristic Co-Registration

Abstract

Since three-dimensional (3D) hybrid detector ( CT+MR) is not integrated well currently, this study aims to investigate a registration scheme for two-dimensional (2D) hybrid based on characteristic localization to achieve 3D-fusion from the images of CT and MR as a whole. A cubic oriented proposal of ―9-point & 3-plane‖ for coregistration designs were verified to be geometrically practical. Human internal-feature points were sorted to combine with preselected external-feature points for matching process through 3D-reconstruction and virtual-dissection. By following the procedures of feature-extraction and image-mapping, the processes of ―picking points to form plane‖ and ―picking planes for segment‖ were executed. Ultimately, image-fusions were implemented at the real-time workstation Mimics based on auto-fuse techniques so called ―information exchange‖ and ―Signal Overlaying‖. A complementary 3D-image across ( CT+MR) modalities, which simultaneously presents anatomic structures of hard-tissue and soft-tissue, was created with a detectable-rate of 70%, this is equivalent to detectable-rate of ( PET+CT) or ( PET+MR) with no statistically significant difference. Our approach of ―9-point & 3-plane‖ offers a fresh idea for integration of digital imaging in mathematic consideration, and it facilitates a 3D vision that isn't functional yet for 2D hybrid imaging. This exploration is practical to those small hospital that are unable to afford expensive hybrid equipment.