| Sunday
1:00 PM | SU-E-201-1 : A Practical and Robust Method for Beam-Blocker Based Cone Beam CT Scatter Correction
H. Cui*, X. Jiang, Y. Yang |
| Sunday
1:07 PM | SU-E-201-2 : Cone-Beam CT From Complete Data Using Saddle Trajectories On a Mobile Robotic CBCT Scanner
J. Albrecht*, S. Rit, P. Steininger, F. Ginzinger, P. Huber, I. Messner, M. Kraihamer, H. Schmitz, S. Corradini, C. Belka, C. Kurz, M. Riboldi, G. Landry |
| Sunday
1:14 PM | SU-E-201-3 : Characterizing Lung Tumor Rigidity Via Ventilation-Induced Tumor Deformation: Implications On the Prognosis of Lung Squamous Cell Carcinoma
Y. Lao*, W. Yang, D. Moghanaki, K. Sheng |
| Sunday
1:21 PM | SU-E-201-4 : Deep-Learning-Based Auto Segmentation (DLAS) of Organs at Risk in the Head and Neck Region: A Clinical Evaluation
C. Johnson*, P. Tsai, G. Yu, C. Apinorasethkul, L. Hu, W. Xiong, A. Zhai, R. Press, H. Lin, S. Huang |
| Sunday
1:28 PM | SU-E-201-5 : Delineating Functional Lung Volume by Combining DECT Derived Perfused Blood Volume and 4DCT Derived Ventilation Maps for Radiation Treatment Planning
G. Noid*, A. Tai, E. Gore, J. Shah, X. Li |
| Sunday
1:35 PM | SU-E-201-6 : Multi-Domain Constraint Based Estimation of Effective Atomic Number and Electron Density for Dual Energy CT
Q. Wang*, H. Xie, C. Chang, T. Wang, J. Roper, X. Tang, J. Bradley, T. Liu, X. Yang |
| Sunday
1:42 PM | SU-E-201-7 : Physics-Informed Machine Learning for Estimating Pulmonary Perfusion From Non-Contract 4DCT
Y. Liu*, A. Nowacki, R. Castillo, Y. Vinogradskiy, G. Nair, C. Stevens, E. Castillo |
| Sunday
1:49 PM | SU-E-201-8 : Scatter Correction in Known-Component Model-Based Cone-Beam CT Reconstruction in the Presence of Metal Hardware
A. Lopez Montes*, W. Zbijewski, J. Siewerdsen, J. Stayman, S. Liu |
