A Kullback-Leibler approach for 3D reconstruction of spectral CT data corrupted by Poisson noise

MLA

Müller, Bert, et al. “A Kullback-Leibler Approach for 3D Reconstruction of Spectral CT Data Corrupted by Poisson Noise.” Proceedings of SPIE, vol. 10391, no. 1, Oct. 2017, p. 103911E–103911E–7. EBSCOhost, https://doi.org/10.1117/12.2273649.

APA

Müller, B., Wang, G., Hohweiller, T., Ducros, N., Peyrin, F., & Sixou, B. (2017). A Kullback-Leibler approach for 3D reconstruction of spectral CT data corrupted by Poisson noise. Proceedings of SPIE, 10391(1), 103911E–103911E–7. https://doi.org/10.1117/12.2273649

Chicago

Müller, Bert, Ge Wang, Tom Hohweiller, Nicolas Ducros, Françoise Peyrin, and Bruno Sixou. 2017. “A Kullback-Leibler Approach for 3D Reconstruction of Spectral CT Data Corrupted by Poisson Noise.” Proceedings of SPIE 10391 (1): 103911E–103911E–7. doi:10.1117/12.2273649.