Computed Tomography slice interpolation in the longitudinal direction based on deep learning techniques: To reduce slice thickness or slice increment without dose increase
Fig 12
Examples of the comparison among the proposed U-net architecture-based approach, the proposed organ-oriented method, and linear interpolation.
From left to right, the images shown in grayscale are the ground truth, the result computed by linear interpolation, the result deduced by the proposed parallel U-net architecture, and the result obtained by the proposed organ-oriented reconstruction. The images shown in color maps are difference images between the compared methods’ results and the ground truth. In the color maps, dark blue indicates the smallest difference and red indicated the largest difference. The window size is adjusted to [−400, 400] for soft tissues.