Spatially Variant Deformation Algorithm for Medical Image Registration

The patent applies local quality by making the flexibility model spatially variant, where different regions of the image have different flexibility characteristics. The flexibility model is divided into multiple regions, each with its own flexibility parameters that are optimized independently. This allows the algorithm to account for varying movements of different structures (e.g., lung tissue during breathing) while maintaining computational efficiency through region-based processing.

The patent segments the image into multiple regions, each with its own flexibility model parameters. This segmentation allows the complex spatially variant flexibility model to be computed efficiently by processing each region independently. The deformation algorithm applies different flexibility constraints to different regions based on their anatomical characteristics, achieving high accuracy while managing computation time through parallelizable region-based processing.

The patent introduces dynamics by making the flexibility model adaptive and spatially variant rather than static and constant. The flexibility parameters are dynamically adjusted for different regions of the image based on anatomical information and movement characteristics. This dynamic flexibility model can accurately represent biological structures like the lung during breathing, while maintaining processing speeds compatible with clinical workflows through optimized computational methods.