Evaluation of imaging geometry for stationary chest tomosynthesis

Jing Shan; Andrew W. Tucker; Yueh Z. Lee; Michael D. Heath; Xiaohui Wang; David Foos; Jianping Lu; Otto Zhou

doi:10.1117/12.2043314

19 March 2014 Evaluation of imaging geometry for stationary chest tomosynthesis

Jing Shan, Andrew W. Tucker, Yueh Z. Lee, Michael D. Heath, Xiaohui Wang, David Foos, Jianping Lu, Otto Zhou

Proceedings Volume 9033, Medical Imaging 2014: Physics of Medical Imaging; 903317 (2014) https://doi.org/10.1117/12.2043314
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

We have recently demonstrated the feasibility of stationary digital chest tomosynthesis (s-DCT) using a dis- tributed carbon nanotube x-ray source array. The technology has the potential to increase the imaging resolution and speed by eliminating source motion. In addition, the flexibility in the spatial configuration of the individual sources allows new tomosynthesis imaging geometries beyond the linear scanning mode used in the conventional systems. In this paper, we report the preliminary results on the effects of the tomosynthesis imaging geometry on the image quality. The study was performed using a bench-top s-DCT system consisting of a CNT x-ray source array and a flat-panel detector. System MTF and ASF are used as quantitative measurement of the in-plane and in-depth resolution. In this study geometries with the x-ray sources arranged in linear, square, rectangular and circular configurations were investigated using comparable imaging doses. Anthropomorphic chest phantom images were acquired and reconstructed for image quality assessment. It is found that wider angular coverage results in better in-depth resolution, while the angular span has little impact on the in-plane resolution in the linear geometry. 2D source array imaging geometry leads to a more isotropic in-plane resolution, and better in-depth resolution compared to 1D linear imaging geometry with comparable angular coverage.

Citation Download Citation

Jing Shan, Andrew W. Tucker, Yueh Z. Lee, Michael D. Heath, Xiaohui Wang, David Foos, Jianping Lu, and Otto Zhou "Evaluation of imaging geometry for stationary chest tomosynthesis", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 903317 (19 March 2014); https://doi.org/10.1117/12.2043314

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