Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs

Figure 2

Overview of the proposed registration method that can handle large deformations and different contrast properties, applied to mapping brain MRI of neonates to 2-year olds. We segment the brain MRIs and then extract equivalent anatomical descriptors by merging the two different white matter types present in neonates. The probabilistic and geometric anatomical descriptors are then used to compute the transformation ℎ that minimizes the distance between the class posterior images, as well as the distance between surfaces represented as currents.