|
| Sunday | PO-GePV-M-1 : Dosimetric Assessment of Three Different Rigid Registration Methods in Proton Therapy for Breast Cancer X.Ming*, Y.Sheng, Q.Zhang, j.zhao |
|
| Sunday | PO-GePV-M-2 : In Vivo Emission-Guided Registration of Target Volume and Bragg Peak in Proton Therapy H.Lin*, K.Chuang, H.Chang, T.Chao, M.Jan |
|
| Sunday | PO-GePV-M-3 : Introduction of Efficient Workflow of In-Vivo Dosimetry Based On TOYOTA Production System T.Matsunaga*, J.Suzuki, H.Takahashi, K.Hamajima, M.Niwa, T.Okuda |
|
| Sunday | PO-GePV-M-4 : Utilizing Quantitative Local Trajectory Method to Online Analyse Intrafraction Prostate Motion Y.Gao*, B.Zhao, X.Qi, X.Gao |
|
| Sunday | PO-GePV-M-5 : Verification of Stereotactic Center of GammaKnife Machine Determined by CBCT J.Feng*, Y.Yang, S.Miao, Y.Du |
|
| Sunday | PO-GePV-M-6 : Comparing the Accuracy of Surface Guided Imaging to Orthogonal X-Rays for Stereotactic Radiosurgery V.Bry*, J.McCulloch, J.Rembish, N.Papanikolaou, R.Crownover, N.Kirby, D.Saenz, P.Myers, S.Stathakis, K.Rasmussen |
|
| Sunday | PO-GePV-M-7 : Moving Targets in External Versus Internal Motion Tracking R.Holla*, D.Khanna |
|
| Sunday | PO-GePV-M-8 : High-Resolution Cone Beam CT Reconstruction for Motion Tracking W.Cai*, T.Li, X.Li, P.Zhang, X.Tang |
|
| Sunday | PO-GePV-M-9 : Development and In-Patient Validation of Inter-Fraction Fidelity of a Surface Photogrammetry+CT-Based Volumetric Motion Model for Lung Radiotherapy M.Ranjbar*, P.Sabouri, S.Mossahebi, D.Leiser, G.Lasio, J.Hung, A.Sawant, J.Zhou |
|
| Sunday | PO-GePV-M-10 : Dosimetric Impact of Forced Densities Over the Course of RT D.Schott*, S.Lim, R.Thapa, D.Prah, X.Li, E.Paulson |
|
| Sunday | PO-GePV-M-11 : An Easy to Create In-House Phantom for TG-132 Deformable Image Registration Evaluation T.Martin*, D.Saenz, P.Myers, K.Rasmussen, S.Stathakis, N.Papanikolaou, N.Kirby |
|
| Sunday | PO-GePV-M-12 : 4D IMRT QA: Optimum Ways to Setup Motion Phantom M.Zhang*, Y.Song, L.Voros, X.Tang |
|
| Sunday | PO-GePV-M-13 : Capsule Architecture Based Automatic Lung Segmentation Strategy Y.Liu*, E.Zhang, X.Gu |
|
| Sunday | PO-GePV-M-15 : Geometrical Analysis of Target Volume Definition On Corrected MRI Images and Its Effect On Stereotactic Radiosurgery Treatment Planning S.Bagherimofidi, C.Yang, W.Duggar, M.Kanakamedala, R.He, A.Fatemi* |
|
| Sunday | PO-GePV-M-16 : Evaluating Geometric and Dosimetric Accuracy of Synthetic CT Images for MRI-Only Stereotactic Radiosurgery S.Bagherimofidi*, C.Yang, W.Duggar, M.Kanakamedala, R.He, A.Fatemi |
|
| Sunday | PO-GePV-M-17 : High-Performance Image Compression Methods for Cone-Beam Computerized Tomography H.Yan*, J.Dai |
|
| Sunday | PO-GePV-M-18 : Liver Sparing in Right Breast Radiation Therapy Treatment with Deep Inspiration Breath Hold (DIBH) D.Soultan*, J.Turner, S.Rhodes, H.Saleh |
|
| Sunday | PO-GePV-M-20 : Delta Function Based Analysis of Why FFF Does Not Exhibit Any Dosimetric Advantage Over Flatten Beam B.Sarkar*, S.Roy, A.Manikandan, T.Ganesh, A.Munshi, B.Mohanti |
|
| Sunday | PO-GePV-M-21 : Extracting Heterogeneously Formatted Clinical Data From DICOM Secondary Capture Using OCR E.Somasundaram*, S.Brady, H.Li, L.He, T.Maloney, J.Dudley, J.Dillman |
|
| Sunday | PO-GePV-M-22 : Brain Tumor Segmentation Basedon Features Extracted From MRI Multimodal Images Using Deep Convolution NeuralNetworks B.Zhang*, H.Lin, Z.Xue, J.Xu, B.Liu, Z.Wei |
|
| Sunday | PO-GePV-M-23 : Deep Learning Based Mammographic Breast Cancer Diagnosis: A Technical Review S.Yu*, E.Zhang, Z.Yang, W.Lu, X.Gu, Y.Xie |
|
| Sunday | PO-GePV-M-24 : Quantification of Image-Guidance Benefit in Image-Guided Radiotherapy of Cancers L.Zhou, J.Deng* |
|
| Sunday | PO-GePV-M-25 : Fully Automated Segmentation of Rectum After Cervical Cancer Surgery in Female Pelvic On CT Images Based On Small Sample Training Using Deep Learning g.shanshan, J.Zhongjian* |
|
| Sunday | PO-GePV-M-26 : Data Driven Deformable Image Registration for Extreme Deformations E.Castillo*, D.Fuentes |
|
| Sunday | PO-GePV-M-27 : Survival of Prostate Cancer Patients Who Had Either Surgery Or Radiation Therapy A.Dey*, T.Biswas, S.Datta, T.Podder |