Application of projection-based metrics to the optimisation of arbitrary CT scanning trajectory

Type: MA thesis

Status: running

Date: September 1, 2023 - February 29, 2024

Supervisors: Linda-Sophie Schneider, Andreas Maier

This work focuses on the optimization of CT trajectory through the use of projection-based metrics. The objective is to improve reconstruction accuracy, reduce the number of required projections, and minimize scan time. Existing metrics will be implemented and evaluated, while an optimization approach will be explored and refined. Additionally, a new metric will be developed by combining existing metrics using different weights or a learned result from a neural network. The optimized trajectory will be evaluated using RMSE and SSIM indexes to assess the quality of the reconstruction. The study aims to efficiently optimize CT trajectories by considering multiple metrics and potentially introducing a new metric for trajectory optimization.