Parameter space visualizer: an interactive parameter selection interface for iterative CT reconstruction algorithms

Wei Xu; Klaus Mueller

doi:10.1117/12.844401

23 February 2010 Parameter space visualizer: an interactive parameter selection interface for iterative CT reconstruction algorithms

Wei Xu, Klaus Mueller

Author Affiliations +

Proceedings Volume 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling; 76251Q (2010) https://doi.org/10.1117/12.844401
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

Previous work indicated that using ordered subsets (OS-SIRT) for iterative CT can optimize the reconstruction performance once optimal settings for parameters such as number of subsets and relaxation factor have been identified. However, recent work also indicated that the optimal settings have dependent relations with regards to the quality of the projection data (such as SNR-level), which are hard to obtain a-priori. In addition, users may also have preferences in trading off between the dependent parameters, such as reconstruction speed and quality, which makes these (independent) parameters even more difficult to determine in an automated manner. Therefore, we devise an effective parameter space navigation interface allowing users to interactively assist parameter selection for iterative CT reconstruction algorithms (here for OS-SIRT). It is based on a 2D scatter plot with six display modes to show different features of the reconstruction results based on the user preferences. It also enables a dynamic visualization by gradual parameter alteration for illustrating the rate of impact of a given parameter constellation. Finally, we note the generality of our approach, which could be applied to assist any parameter selection related systems.

Citation Download Citation

Wei Xu and Klaus Mueller "Parameter space visualizer: an interactive parameter selection interface for iterative CT reconstruction algorithms", Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 76251Q (23 February 2010); https://doi.org/10.1117/12.844401

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