Dhou, S.; Alkhodari, M.; Ionascu, D.; Williams, C.; Lewis, J.H.
Fluoroscopic 3D Image Generation from Patient-Specific PCA Motion Models Derived from 4D-CBCT Patient Datasets: A Feasibility Study. J. Imaging 2022, 8, 17.
https://doi.org/10.3390/jimaging8020017
AMA Style
Dhou S, Alkhodari M, Ionascu D, Williams C, Lewis JH.
Fluoroscopic 3D Image Generation from Patient-Specific PCA Motion Models Derived from 4D-CBCT Patient Datasets: A Feasibility Study. Journal of Imaging. 2022; 8(2):17.
https://doi.org/10.3390/jimaging8020017
Chicago/Turabian Style
Dhou, Salam, Mohanad Alkhodari, Dan Ionascu, Christopher Williams, and John H. Lewis.
2022. "Fluoroscopic 3D Image Generation from Patient-Specific PCA Motion Models Derived from 4D-CBCT Patient Datasets: A Feasibility Study" Journal of Imaging 8, no. 2: 17.
https://doi.org/10.3390/jimaging8020017
APA Style
Dhou, S., Alkhodari, M., Ionascu, D., Williams, C., & Lewis, J. H.
(2022). Fluoroscopic 3D Image Generation from Patient-Specific PCA Motion Models Derived from 4D-CBCT Patient Datasets: A Feasibility Study. Journal of Imaging, 8(2), 17.
https://doi.org/10.3390/jimaging8020017