Fig. 2

Study design. Four cases were extracted to evaluate the OrthoFusion algorithm – High Resolution (HR), Clinical (Clin), Resliced (RS), and Super Resolution (SR). The axial HR volume was considered the ‘ground truth’. First, HR CT volumes were acquired and reconstructed into 3 orthogonal volumes (axial, coronal, sagittal) with in-plane resolutions of ~ 0.2 × 0.2 mm and a through-plane resolutions of 0.6 mm (top row). Next, Clin volumes were simulated by down-sampling the HR volumes using Gaussian interpolation to a 3 mm through-plane resolution (middle row). The OrthoFusion algorithm (box) was applied, as depicted in Fig. 1. The RS case volume was derived from the axial Clin volume by interpolating back to a 0.6 mm through-plane resolution using Lanczos interpolation.