Moderator: Ning Yue, Rutgers Cancer Institute of New Jersey
Moderator: Justin Park, Washington University in St. Louis
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| Tuesday
4:30 PM | TU-L-225BCD-1 : A Cascade Deep Network to Improve Parallel MRI Reconstruction
T.Chao*, T.Lin, M.Wu |
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| Tuesday
4:40 PM | TU-L-225BCD-2 : A Dual-Reconstruction Method to Generate Motion Artifact-Free CBCT Images
H.Zhong*, X.Li |
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| Tuesday
4:50 PM | TU-L-225BCD-3 : Convolutional Neural Network Method for Decomposition of Dual Energy CBCT Projections Into Basis Materials
F.Cassetta*, R.Patel, M.Haytmyradov, J.Roeske |
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| Tuesday
5:00 PM | TU-L-225BCD-4 : High Quality Digitally Reconstructed Radiographs Generation From Low Resolution CT Images Using Super Resolution CNN
Y.Fu*, H.Li, D.Yang |
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| Tuesday
5:10 PM | TU-L-225BCD-5 : MRI Super-Resolution Reconstruction for MRI-Guided Adaptive Radiotherapy Using Cascaded Deep Learning: In the Presence of Limited Training Data and Unknown Translation Model
J.Chun*, H.Gach, S.Olberg, T.Mazur, O.Green, T.Kim,
H.Kim, J.Kim, S.Mutic, J.Park |
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| Tuesday
5:20 PM | TU-L-225BCD-6 : MV CBCT with a Novel High-DQE Multi-Layer Imager Provides Accurate HU for Low-Dose Reconstructions
M.Myronakis*, P.Huber, M.Lehmann, R.Fueglistaller, M.Jacobson, M.Shi,
D.Ferguson, I.Valencia Lozano, P.Baturin, T.Harris, C.Williams,
D.Morf, R.Berbeco |
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| Tuesday
5:30 PM | TU-L-225BCD-7 : Reconstruction-Aware Sinogram Denoising with Deep U-Net for Low Dose CT
M.Tsai*, C.Shen, X.Jia |
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| Tuesday
5:40 PM | TU-L-225BCD-8 : The Impact of Computed Tomography (CT) Reconstruction Kernels On Radiotherapy Treatment Planning Dose Calculation
I.Vergalasova, M.McKenna, N.Yue, M.Reyhan* |
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| Tuesday
5:50 PM | TU-L-225BCD-9 : Dynamic MRI Reconstruction Using Simultaneous K-Space-Driven Motion Estimation and Compensation (SK-MEC)
Y.Zhang*, Z.Iqbal, C.Shen, C.Wang, S.Jiang, J.Wang |
