- Jiang, Zhenzhen
The task of Ms. Zhenzhen Jiang is to evaluate the applicability of these metrics to compressed CT datasets. Of special interest with regard to different application areas are SSIM, Sarnoff model as an example of a VDM, and the well established (channelized) Hotelling Observer. These shall be compared to straight-forward error distance metrics ( ).To do so, in a first step the mentioned metrics shall be implemented in well-documented Matlab functions. With these implementations the features of the metrics, as well as their responses to different coding artifacts (e. g. arising from Gaussian noise, JPEG 2000, or motion compensation) shall be analyzed analytically and experimentally. Optionally, JPEG 2000 data-rates, suggested in human observer experiments for various examination procedures, can be translated to these metrics. In the course of the project thesis there is a collaboration with Mr. Michel Bätz, who implements voxel-based motion compensation for CT datasets, as well as with Mr. David Müller, who compares the performance of different codecs for CT datasets.