Fig. 5
From: A super-resolution algorithm to fuse orthogonal CT volumes using OrthoFusion
Summary Figure. Representative data illustrating the performance measures across the 4 case volumes, with the High Resolution case as the ground truth. Multiplanar Reconstructions emphasize the separation of the facet joints. Segmentation time was substantially less for the High Resolution and Super Resolution cases. Image similarity was improved with the Super Resolution approach, depicted from local SSIM maps where white indicates greater similarity. These improved performances over the Clinical and Resliced volumes yielded a greater morphological similarity and ultimately, for our applications purpose, the Super Resolution Digitally Reconstructed Radiograph (DRR) exhibited better performance for shape-matching similarity and relative kinematics accuracy.
