|
| PO-GePV-M-1 : Clinical Evaluation of Deep Learning Based Auto-Contouring Software for Prostate Radiotherapy
M. Kirk*, B. Anderson, H. Prichard, L. Ryan, X. Zhang, Y. Wang |
|
| PO-GePV-M-2 : Comparison of Deep Learning Based Auto-Contouring Software to Expert Inter-Observer Variability in Prostate Radiotherapy
M. Kirk*, B. Anderson, H. Prichard, L. Ryan, X. Zhang, Y. Wang |
|
| PO-GePV-M-4 : Automatic Contouring QA Approach Using a Deep-Learning-Based Auto-Contouring System
D. Rhee*, C. Anakwenze, B. Rigaud, A. Jhingran, C. Cardenas, L. Zhang, S. Prajapati, S. Kry, K. Brock, B. Beadle, W. Shaw, D. O'reilly, J. Parkes, H. Burger, N. Fakie, C. Trauernicht, H. Simonds, L. Court |
|
| PO-GePV-M-5 : Radiation Induced Lung Damage Tissue Segmentation and Classification Framework
A. Szmul*, E. Chandy, C. Veiga, A. Stavropoulou, J. Jacob, D. Landau, C. Hiley, J. McClelland |
|
| PO-GePV-M-6 : Hybrid Approach of Auto-Segmentation Based On Pixel Level Edge Detection
D. Tewatia*, R. Tolakanahalli, R. Pyzalski |
|
| PO-GePV-M-7 : Performance of a Convolutional Neural Network-Based Algorithm for Automatic Segmentation of the Whole Heart in Non-Contrast Radiotherapy Planning CTs with Image Artifacts
D. Mehta*, B. Park, J. Jung, M. Mille, B. Ky, W. Kenworthy, C. Lee, Y. Yeom, W. Bosch, S. MacDonald, O. Cahlon, J. Bekelman, C. Lee |
|
| PO-GePV-M-8 : A 3D Multi-Modality Lung Tumor Segmentation Method Based On Deep Learning
S. Wang*, L. Yuan, E. Weiss, R. Mahon |
|
| PO-GePV-M-9 : A High-Throughput, High-Availability Automated Planning Tool for Radiotherapy Clinics in Low-Resource Settings
B. Marquez*, S. Gay, R. Douglas, L. Zhang, K. Huang, M. El Basha, C. Cardenas, L. Court |
|
| PO-GePV-M-10 : Development of Gell: A GPU-Powered Ultra-Large-Scale Cell-Based Simulator
J. Du*, Y. Zhou, L. Jin, K. Sheng |
|
| PO-GePV-M-11 : Radiomic Analysis of Limited-Sized Data Using Unsupervised Methods: Prediction of HPV Status in Head and Neck Cancer
J. Oh*, A. Apte, A. Iyer, A. Tannenbaum, J. Deasy |
|
| PO-GePV-M-12 : The IAEA DIrectory of RAdiotherapy Centres (DIRAC): Current Figures and New Developments
P. Kazantsev*, M. Carrara, E. Titovich, Y. Pynda, D. van der Merwe |
|
| PO-GePV-M-13 : Treatment Management Selection of HPV-Positive Oropharynx Cancer Patients Using Artificial Intelligence On Electronic Medical Records and Radiomics
T. Bejarano*, M. Samuels, I. Mihaylov |
|
| PO-GePV-M-14 : Hyperpolarized Gas MRI Ventilation Synthesis From CT: Comparison of Conventional and Deep Learning Methods
J. Astley*, A. Biancardi, M. Walker, P. Hughes, H. Marshall, G. Collier, M. Hatton, J. Wild, B. Tahir |
|
| PO-GePV-M-15 : Limitations of the Structural Similarity Index in Medical Image Synthesis Evaluation
D. Gourdeau*, S. Duchesne, L. Archambault |
|
| PO-GePV-M-16 : Predicting Successful Clinical Candidates for Marker-Less Lung Tumor Tracking with a Deep Learning Classification Model
M. Lafreniere*, G. Valdes, M. Descovich |
|
| PO-GePV-M-17 : Prediction of WEPL Image in Proton Radiography Using Deep Learning
A. B G*, E. Bentefour, D. Samuel |
|
| PO-GePV-M-18 : Using CNNs to Extract Standard Structure Names While Learning Radiomic Features
W. Sleeman*, P. Bose, P. Ghosh, J. Palta, R. Kapoor |
|
| PO-GePV-M-19 : CNN-Based Clinical-Dose to Low-Dose CT Simulator
S. Tunissen*, J. Teuwen, I. Sechopoulos |
|
| PO-GePV-M-20 : Liver Cancer Risk Quantification Through An Artificial Neural Network Based On Personal Health Data
A. Ataei*, J. Deng, W. Muhammad |
|
| PO-GePV-M-21 : Deep Transfer Learning for the Multi-Label Classification of COVID-19 Presentation On Thoracic CT Scans
D. Tada*, J. Fuhrman, F. Li, M. Giger |
|
| PO-GePV-M-22 : Deep Learning–based COVID-19 Pneumonia Classification Using Chest CT Images: Model Generalizability
D. Nguyen*, F. Kay, J. Tan, Y. Yan, Y. Ng, P. Iyengar, R. Peshock, S. Jiang |
|
| PO-GePV-M-24 : Feasibility Study of Deep Learning Based Radiosensitivity Binary Classification Model Using Gene Expression Profiling
E. Kim*, Y. Chung |
|
| PO-GePV-M-26 : A Multiple Modality Comparison of Radiomic Features for Prostate Cancer
R. Delgadillo*, B. Spieler, J. Ford, D. Kwon, F. Yang, M. Studenski, K. Padgett, M. Abramowitz, A. Dal Pra, N. Dogan |
|
| PO-GePV-M-27 : Group-Lasso Regularized Artificial Neural Network for Embedded Feature Selection in Radiomics Study On Pediatric Patients with Craniopharyngioma Treated with Proton Therapy
W. Yang*, C. Hua, T. Davis, J. Uh, T. Merchant |
|
| PO-GePV-M-28 : Technical Artifact Detection in CBCT Imaging by Binary Image Classification
M. Bach*, G. Spira |
|
| PO-GePV-M-29 : Classification of Attention-Deficit/hyperactivity Disorder Using Multisite Resting-State Functional MRI: A Radiomics Features Analysis
G. Liu*, L. Shi, J. Qiu |
|
| PO-GePV-M-30 : Low-Dose CT Images Denoising Integrating Machine Learning and Optimization
Q. Xu*, Q. Lyu, K. Sheng |
|
| PO-GePV-M-31 : Can Clinical Data Uncover Physician’s Decision Making Criteria On Patient’s Prescription in Radiotherapy?
Q. Li*, J. Wright, T. McNutt |
|
| PO-GePV-M-32 : Intrafractional Tumor Motion Prediction Using Surrogates On Pancreatic Cine MRgRT
A. Guta*, J. Shin, B. Lewis, Z. Ji, J. Kim, T. Kim |
|
| PO-GePV-M-33 : Three-Dimensional Dose Prediction Methodology for Gamma Knife
B. Zhang*, A. Babier, T. Chan, M. Ruschin |
|
| PO-GePV-M-34 : Novel Paired Intensity-Pattern Recognition Technique Based On Perfect Intensity-Geometry (PIG)
A. Chu*, Q. Peng, M. Garg, W. Tomé |
|
| PO-GePV-M-35 : Machine Learning Models to Predict the Delivered Positions of Elekta Multileaf Collimator Leaves for Volumetric Modulated Arc Therapy
S. Sivabhaskar*, N. Papanikolaou, N. Kirby, R. Li, A. Roy |
|
| PO-GePV-M-36 : Probabilistic Feature Extraction, Dose Statistic Prediction and Dose Mimicking for Automated Radiation Therapy Treatment Planning
T. Zhang*, R. Bokrantz, J. Olsson |
|
| PO-GePV-M-37 : The Neurosubtyping of Autism Spectrum Disorders Based On Structural MRI Data
G. Liu*, W. Lu, J. Qiu |
|
| PO-GePV-M-38 : What's Behind Auto-Segmentation Models: An Interpretability Analysis of Calculation Logic of Segmentation Model for Brain Tumor
H. Chen*, D. Ban, X. Qi |
|
| PO-GePV-M-39 : Outcome Prediction of Prostate Cancer Patients After Radiotherapy Using Machine Learning Models Developed with Extrapolation Data
K. Oguma*, T. Magome, M. Someya, T. Hasegawa, K. Sakata |
|
| PO-GePV-M-40 : Radiomics Analysis Improves Machine Learning Models Assessing Chronic Obstructive Pulmonary Disease
R. Au*, K. Makimoto, W. Tan, J. Bourbeau, J. Hogg, M. Kirby |
|
| PO-GePV-M-41 : Automatic Lung Field Segmentation On Chest Radiographs of COVID-19 Patients to Improve Diagnostic Deep Learning
G. Schlafly*, Q. Hu, F. Li, K. Drukker, J. Fuhrman, M. Giger |
|
| PO-GePV-M-42 : A Machine Learning Classifier for Predicting Recurrence in Oropharyngeal Cancer
T. Chinnery*, P. Lang, A. Nichols, S. Mattonen |
|
| PO-GePV-M-43 : CERRx: The Extended CERR Platform Integrated with Open Source Image Informatics Ecosystem
A. Apte*, A. Iyer, E. LoCastro, J. Deasy |
|
| PO-GePV-M-44 : Classification of Anatomic Structures by CT-Based Radiomics for Head-Neck Radiotherapy
Y. Watanabe*, N. Gopishankar, A. Biswas, K. Rangarajan, G. Rath |
|
| PO-GePV-M-45 : Prediction of HPV Status in the Head and Neck Cancer Patient Using CT Derived Radiomic Features: The Impact of CT Scanner
R. Reiazi*, C. Arrowsmith, M. Welch, F. Abbas-aghababazadeh, C. Eles, T. Tadic, A. Hope, S. Bratman, B. Haibe-kains |
|
| PO-GePV-M-46 : Repeatability and Reproducibility of Radiomics in Magnetic Resonance Fingerprinting of the Brain
R. Delgadillo*, B. Rich, Y. Yang, F. Yang |
|
| PO-GePV-M-47 : Robustness and Performance of Radiomic Features in Diagnosing Cystic Renal Masses
A. Konik*, N. Miskin, Y. Guo, A. Shinagare, L. Qin |
|
| PO-GePV-M-48 : Understanding Robustness of Deep Neural Network: A Comprehensive Robustness Analysis for a Deep Learning-Based Lung-Nodule Classification Model of CT Images with Respect to Image Noise
X. Jia*, C. Shen |
|
| PO-GePV-M-49 : The Impact of the COVID-19 Pandemic On Cancer Care in Radiation Oncology
S. Utkarsh*, S. Andrea, M. Gray, D. Wazer, K. Leonard, R. Munbodh |
|
| PO-GePV-M-50 : Predicting Overall Survival of Patients with Glioma Via A Novel Framework Consisting of Two-Phase Feature Selection and Fused Regression Forest
H. Chen*, Y. Liu, X. Qi |
|
| PO-GePV-M-51 : A Multichannel Feature-Based Approach for Longitudinal Lung CT Registration in the Presence of Radiation Induced Lung Damage
A. Stavropoulou*, A. Szmul, E. Chandy, C. Veiga, D. Landau, J. McClelland |
|
| PO-GePV-M-53 : Multi-Modality (PET/CT) Radiomics Based Recurrence Prediction in Head and Neck Cancers Prior to Radiotherapy
M. Schelin*, R. Sheu, R. Bakst, J. Junn, Y. Yuan |
|
| PO-GePV-M-54 : Early Treatment Response Prediction Via Longitudinal CBCT Analysis for Locally Advanced Rectal Cancer
X. Pan*, C. Liu, M. Alidoost, Z. Wang, J. Fu, A. Raldow, J. Weidhass, K. Woods, D. O'Connell, D. Low, K. Sheng, X. Qi |
|
| PO-GePV-M-55 : Assessment of Magneto-Plasmonic Nanoparticles as a Theragnostic for MRI-Based Photothermal Therapy: A Numerical 3-D Modeling Study in Mice
Z. Tavangari, |
|
| PO-GePV-M-56 : Mixed Reality Visualization of Radiation Dose in Interventional Radiology
J. Kotoku*, T. Takata, S. Nakabayashi, H. Kondo, M. Yamamoto, S. Furui, K. Shiraishi, T. Kobayashi, H. Oba |
|
| PO-GePV-M-58 : A Navigation System for Real-Time Monitoring PDT Delivery
H. Sun*, M. Kim, Y. Ong, T. Zhu |
|
| PO-GePV-M-59 : A Clinical Evaluation of An Open-Source Toolkit for TG-142 Based Monthly Imaging Quality Assurance Via Comparison with Commercial Software
S. Jayarathna*, S. Howard, D. Johnson |
|
| PO-GePV-M-61 : Range Modulated Proton Radiography Using High Energy Therapeutic Proton Scanning Pencil Beams
C. Pelas*, N. Alsbou, S. Ahmad, I. Ali |
|
| PO-GePV-M-62 : Image Artifacts From High-Z Materials in Proton Radiography Using High Energy 250 MeV Therapeutic Proton Beam
I. Ali*, S. Ahmad, N. Alsbou |
|
| PO-GePV-M-63 : The Effects of Compton Camera Data Acquisition Timing and Readout On Prompt Gamma Images Acquired at Clinical Proton Beam Dose Rates
J. Polf*, P. Maggi, R. Panthi, D. Mackin, S. Peterson, S. Beddar |
|
| PO-GePV-M-65 : A First In-Phantom Quantitative Concept Validation for a Prospective Respiratory Signal-Guided 4D CT Protocol
A. Boschini*, M. Fusella, S. Sapignoli, M. Paiusco |
|
| PO-GePV-M-66 : Impact of 4DCT Artifacts On Local Control for Lung SBRT
L. Rakotondravohitra*, J. Adamson |
|
| PO-GePV-M-67 : Fiducial Registration-Error Analysis of PCA Lung Model for DVF Assessment
O. Trejo*, S. Samant, M. Garrido, B. Lu, C. Rapp, C. Liu, K. Hitchcock, G. Yan, J. Wu |
|
| PO-GePV-M-68 : Impact of Flattening-Filter-Free Field On Online Adaptive Radiotherapy Using Virtual Couch Shift (VCS) Technique
Q. Liu, J. Liang*, D. Yan |
|
| PO-GePV-M-69 : Adaptive Radiation Therapy with Deformable Image Registration and 4D Dose Calculation
I. Ali*, N. Alsbou, S. Ahmad |
|
| PO-GePV-M-71 : Testing Different Materials for a Quality Assurance Phantom for Proton Radiography Using the MEVION Proton Therapy System
C. Pelas*, N. Alsbou, S. Ahmad, I. Ali |
|
| PO-GePV-M-72 : Four-Dimensional Dosimeter and Quality Assurance Phantom for Adaptive Radiation Therapy
T. Meyers*, N. Alsbou, S. Ahmad, I. Ali |
|
| PO-GePV-M-73 : Evaluation of Longitudinal Variation and Impact of Dose Calculation Algorithms Within a CBCT-Based Online Adaptive Workflow
G. Seymore*, S. Martinez, A. Dare, I. Hajizadeh, A. Harpley, K. Homann, M. Price, M. Morales Paliza |
|
| PO-GePV-M-74 : A Simple Adaptive Planning Workflow for MR-Guided Radiotherapy of Prostate Cancer
X. Chen*, E. Paulson, E. Ahunbay, E. Omari, W. Hall, C. Lawton, M. Straza, X. Li |
|
| PO-GePV-M-75 : Importance of Incorporating Rotational Setup Differences for QACT Dosimetric Evaluations
S. Davis*, V. Chaswal, R. Tolakanahalli |
|
| PO-GePV-M-76 : Initial Experience with Online CT-Based Adaptive Radiotherapy in the Abdomen
A. Price*, E. Laugeman, B. Cai, T. Kim, Y. Hao, O. Green, H. Gay, P. Samson, H. Kim, M. Spraker, G. Hugo, L. Henke |
|
| PO-GePV-M-77 : Longitudinal Review of Adaptive Therapy Planning Time for the Elekta Unity
D. Dunkerley*, D. Hyer, J. Snyder, S. Yaddanapudi, J. St-Aubin |
|
| PO-GePV-M-78 : Dose Accumulation of Daily Adaptive Plans Using MiM and RayStation for Elekta Unity MR-Linac
D. Lee*, S. Oh, D. Pavord, A. Colonias, R. Fuhrer, J. Sohn |
|
| PO-GePV-M-79 : Comparison of the Efficacy of CT On Rails Versus In-Room CBCT for Online Daily Adaptive Proton Therapy
K. Nesteruk*, M. Bobic, A. Lalonde, H. Lee, G. Sharp, J. Verburg, B. Winey, A. Lomax, H. Paganetti |
|
| PO-GePV-M-80 : Sun Nuclear DoseCHECK Vs Varian Mobius: Commissioning and Characterisation for Ethos Adaptive Independent Dose Calculations
R. Brown*, R. Bromley, C. Stanton, B. Zwan, J. Booth, A. Briggs |
|
| PO-GePV-M-81 : CBCT-Based Plan Adaptation for Chest Wall Intensity Modulated Proton Therapy
W. Smith*, Y. Hao, B. Sun, A. Darafsheh, T. Mazur, T. Zhang, S. Perkins, T. Zhao |
|
| PO-GePV-M-82 : Evaluation of AI-Driven Adaptive Workflow for High Quality Palliative Radiotherapy
A. Kejda, S. Wong, S. Roderick, J. Booth*, T. Eade |
|
| PO-GePV-M-83 : Performance Characterization of a Real-Time Dose Reconstruction Algorithm for Prostate Stereotactic Radiotherapy Treatment
C. Sengupta*, S. Skouboe, D. Nguyen, T. Ravkilde, P. Poulsen, T. Moodie, P. Keall |
|
| PO-GePV-M-84 : A Dilated Convolution Neural Network to Predict Three-Dimensional Dose Distribution in IMRT Treatment of Cervical Carcinoma
Z. Yuan*, Y. Yang |
|
| PO-GePV-M-85 : Plan Quality and Feasibility of Adaptive CBCT-Guided Prostate and Nodal Volume SBRT
E. Laugeman*, A. Price, M. Prusator, L. Henke, B. Baumann |
|
| PO-GePV-M-86 : Comparison of Online Adaptation and Offline Re-Planning for Head and Neck Intensity-Modulated Proton Therapy
M. Bobic*, A. Lalonde, K. Nesteruk, H. Lee, J. Verburg, G. Sharp, B. Winey, A. Lomax, H. Paganetti |
|
| PO-GePV-M-87 : Comparison of Target Coverage Between Adapted and Non-Adapted Treatment Plans for Prostate Radiation Therapy
I. Gallagher*, J. Riess, C. Coughlin, I. Chetty, A. Kretzler, S. Vance, B. Movsas |
|
| PO-GePV-M-88 : Developing On-Table ART with Conventional LINACs - TrueBeam
T. Kim*, E. Laugeman, F. Reynoso, N. Knutson, P. Szentivanyi, M. Schmidt |
|
| PO-GePV-M-89 : A Dosimetric Comparison of Stereotactic Body Radiation Therapy Delivery Techniques for Lung Cancer: Adaptive Versus Conventional
C. Ding*, A. Godley, K. Westover, R. Timmerman, J. Park |
|
| PO-GePV-M-90 : Impact of Dynamic Intrafraction Air Cavity Changes During MR-Guided Adaptive Radiation Therapy for Abdominal Tumors
X. Chen*, E. Paulson, E. Ahunbay, E. Omari, W. Hall, B. Erickson, X. Li |
|
| PO-GePV-M-91 : Utilization of the QUART Phantom to Evaluate Imaging Stability of a CBCT-Based Online Adaptive Workflow
A. Dare*, K. Homann, M. Morales Paliza |
|
| PO-GePV-M-92 : Evaluation of Online Planning Strategies for CBCT-Based Adaptive Radiotherapy for Locally Advanced Lung Cancer
J. Kim*, W. Mao, I. Gallagher, J. Riess, S. Vance, B. Movsas, I. Chetty, A. Kretzler |
|
| PO-GePV-M-93 : Necessity of Plan Adaptation in Stereotactic MR-Guided Online Adaptive Radiotherapy
C. Williams*, Z. Han, M. Huynh, J. Leeman, L. Singer, D. Cagney, R. Mak, E. Huynh |
|
| PO-GePV-M-94 : AI-Based Online Adaptive Radiation Therapy for Lung Cancer Treatment
W. Mao*, J. Riess, J. Kim, S. Vance, P. Parikh, H. Li, B. Zhao, B. Movsas, I. Chetty, A. Kretzler |
|
| PO-GePV-M-95 : Intentional Deep Overfit Learning (IDOL): An Application to CBCT-Based Auto-Contouring
J. Chun*, X. Liang, M. Lin, D. Nguyen, Y. Zhang, J. Wang, S. Jiang, J. Kim, J. Park |
|
| PO-GePV-M-97 : Identification of Morphological Changes in Head-And-Neck Patients Through In-Beam PET Monitoring in Proton Therapy
A. Kraan*, A. Berti, A. Retico, G. Battistoni, P. Cerello, D. Del Sarto, V. Ferrero, E. Fiorina, F. Laruina, E. Mazzoni, M. Morrocchi, F. Pennazio, V. Rosso, G. Sportelli, V. Vitolo, M. Bisogni |
|
| PO-GePV-M-98 : Clinical Assessment of Patient Variations Between Treatment and Simulation in Breast Deep-Inhalation Breath Hold (DIBH) Using Optical Surface Imaging and On-Board 2D Radiography
I. Yan, G. Li* |
|
| PO-GePV-M-99 : Comparison of Three Setup Methods of Skin Marker Alignment Using Diamond-Shaped Light Field for Prone Breast EBRT
H. Xu*, S. Cheston, A. Gopal, S. Chen, B. Zhang, S. Lee, S. Dudley |
|
| PO-GePV-M-100 : Evaluating Impact of Target Location On Intrafraction Target Motion for Lung SBRT
D. Lack*, D. To, J. Liang, M. Liu, I. Xhaferllari, C. Stevens, I. Grills, T. Guerrero, D. Yan |
|
| PO-GePV-M-101 : Respiratory Traces Analysis in Left-Breast Irradiation with Deep Inspiration Breath Hold
M. Langsen*, M. Jermoumi |
|
| PO-GePV-M-102 : Integrating Temporal Physical and Biological Dose Distribution Analysis in Imaged-Guided Hypofractionated Radiosurgery of High-Risk Brain Lesions
B. Ziemer*, M. Lafreniere, L. Boreta, S. Braunstein, L. Ma |
|
| PO-GePV-M-103 : Development a Portable Body Surface Monitoring System Using Depth Camera
R. Oshika*, S. Mori, A. Nomoto, Y. Tachibana, K. Yasui, M. Ichihara, S. Kurata, N. Hayashi |
|
| PO-GePV-M-104 : Management of Urgent Sim-And-Treat Palliative Cases Via Halcyon KV-ICBCT Images
M. Gei*, M. Randall, D. Pokhrel |
|
| PO-GePV-M-105 : A Non-Image Based Mechanism to Detect Significant Patient Motion for a Frame-Based Radiosurgery Treatment Platform
J. Brindle*, J. Patrick, Z. Saleh |
|
| PO-GePV-M-106 : A Case-Study Investigation of the Feasibility of PTV Expansion Reduction for Dose Escalation for Anal Cancer
A. Yorke*, V. Williams, E. Kim, S. Geneser |
|
| PO-GePV-M-107 : Target Motion Tracking with LLE-Based Features Using Surface Imaging Model
J. Weng*, S. Samant, J. Wu, S. Bhupathiraju, T. Samant |
|
| PO-GePV-M-108 : Fusion of Multi-Scale Feature Maps Improves Anisotropic Structure Detection From CT Images
Y. Xie*, G. Sharp, D. Gierga, T. Hong, T. Bortfeld, K. Kang |
|
| PO-GePV-M-109 : X-Ray Imaging Practices in Radiation Therapy in the United States
S. Gros*, W. Small, C. Martin |
|
| PO-GePV-M-110 : Dosimetric Impact In Radiation Therapy When Using Dual-Energy CT Reconstructed Virtual Monoenergetic Images In Combination With Clinical Monoenergetic CT-Density Curves
B. Broekhoven, W. Godwin*, J. Peng, D. McDonald, M. Maynard, K. Fallon, G. Owen, A. Rapchak |
|
| PO-GePV-M-112 : Evaluation of Larynx Displacements in Pre-Treatment CBCT Scans for a Population of Laryngeal Cancer Patients
A. Antolak*, T. Gray, N. Woody, S. Koyfman, P. Xia |
|
| PO-GePV-M-113 : Dosimetric
Validation of Surface Guided Patient Set-Up for Breast Radiotherapy
A. Gopal*, G. Lasio, B. Zhang, H. Xu, S. Chen, S. Mcavoy, C. Decesaris |
|
| PO-GePV-M-114 : Contrast Enhancement in Primary Oropharyngeal Tumors Through the Use of Split-Filter Dual Energy CT
M. Lawless*, P. Harari, A. Burr, R. Kimple, J. Shah, J. Miller |
|
| PO-GePV-M-116 : Head-To-Head Performance Comparison of Two Deep Learning Segmentation Algorithms for Radiotherapy Planning: A Study in Prostate
H. Martinez*, B. Rich, L. Young, F. Yang |
|
| PO-GePV-M-117 : Data-Driven Generation of CBCT-To-CT HU Mapping for Adaptive Radiotherapy in H&N Cancer
H. Wang*, A. Rea, J. Xue, K. Spuhler, T. Qu, T. Chen, D. Barbee, K. Hu |
|
| PO-GePV-M-118 : Quantitative Analysis of the Accuracy of CT to CBCT Deformable Image Registration for Contour Mapping for Prostate Cancer
R. Schmidt*, N. Dogan, J. Ford, M. Studenski, M. Abramowitz, K. Padgett, B. Spieler, Y. Xu, R. Delgadillo |
|
| PO-GePV-M-119 : Improvement of MVCT Image Quality for Adaptive Helical Tomotherapy Using CycleGAN-Based Image Synthesis with Small Datasets
D. Lee*, H. Cho, Y. Han |
|
| PO-GePV-M-120 : Potential for Using Extracellular Volume Fraction Derived From Dual-Source DECT for Pancreatic Tumor Delineation
G. Godfrey*, G. Noid, J. Shah, W. Hall, B. Erickson, X. Li |
|
| PO-GePV-M-121 : Deep-Learning Based Auto-Classification of Anatomical Regions for IGRT Applications: Implementation and Explainability
J. Cruz Bastida*, S. Li, E. Pearson, H. Al-Hallaq |
|
| PO-GePV-M-122 : Comparison of KV-CBCT Dose Measurement Techniques for Annual Linac QA
B. Rudek, K. Osterman*, J. Xue |
|
| PO-GePV-M-123 : Abdominal 4DCT Image Quality/Visibility Between Iterative Model Reconstruction (IMR) and Iterative Reconstruction (iDose4)
S. Shen*, R. Sullivan, C. Schneider, R. Popple, R. Jacob |
|
| PO-GePV-M-125 : Characterization of Imaging Performance Of
a Novel Helical KVCT System for Use in Image-Guided and Adaptive Radiotherapy
R. Tegtmeier*, W. Ferris, J. Bayouth, W. Culberson |
|
| PO-GePV-M-126 : Estimation of Conversion Factors for CTDIw Calculation in MVCBCT Acquisitions
M. Myronakis*, M. Jacobson, T. Harris, I. Valencia Lozano, C. Williams, M. Lehmann, R. Fueglistaller, P. Huber, D. Morf, R. Berbeco |
|
| PO-GePV-M-127 : DeepDoseNet: A
Deep Learning-Based Approach for 3D Dose Prediction
M. Soomro*, V. Leandro Alves, H. Nourzadeh, J. Siebers |
|
| PO-GePV-M-128 : A Case Study of the Effects of Bladder Filling for Treating Prostate and Nodes Using Online Adaptive Radiotherapy On Ethos
Y. Hao*, B. Baumann, L. Henke, E. Laugeman, A. Price, D. Yang |
|
| PO-GePV-M-129 : Estimating Inconsistency in Deformable Image Registration-Based Dose Accumulation
K. Kainz*, J. García Alvarez, H. Zhong, A. Tai, E. Ahunbay, C. Lawton, X. Li |
|
| PO-GePV-M-130 : Accuracy of Pelvic CT-MR Deformable Image Registration: Comparison of Open-Source and Commercial Software
T. Ishida*, N. Kadoya, S. Tanabe, H. Ohashi, H. Nemoto, S. Dobashi, K. Takeda, K. Jingu |
|
| PO-GePV-M-131 : Estimation of Uncertainty in Deformable Image Registration Based Daily Dose Accumulation for Head and Neck Cancer
J. García Alvarez*, K. Kainz, H. Zhong, C. Schultz, X. Li |
|
| PO-GePV-M-132 : Improving Deformable Image Registration with Three Metrics for Postoperative Radiotherapy of Breast Cancer Patients
X. Xie*, H. Yan, J. Dai |
|
| PO-GePV-M-133 : Evaluation of Deformable Image Registration Accuracy for Liver Patients Using Contrast and Non-Contrast CT Images
C. Allen*, A. Yeo, N. Hardcastle, R. Franich |
|
| PO-GePV-M-134 : Evaluation of Various Deformable Image Registration Algorithms for Abdomen Images with Biomechanically Modelled Deformations
Y. Liu*, P. Zhang, J. Hong, G. Mageras, W. Lu, S. Alam, J. Deasy, L. Cervino |
|
| PO-GePV-M-135 : Evaluation of Synthetic CT Images Generated by Deformable Image Registration of Outdated Planning CT to CBCT of Treatment Day
J. Yoon*, I. Yeo |
|
| PO-GePV-M-136 : Feasibility of Diagnostic Dose Fast-Helical Free Breathing CT Scan Protocol for Ventilation Measurement
M. Lauria*, B. Stiehl, L. Naumann, A. Santhanam, D. O'Connell, K. Singhrao, J. Goldin, I. Barjaktarevic, D. Low |
|
| PO-GePV-M-137 : Usefulness of 4DCT-Based Elasticity Map for Function Preserving Liver Radiotherapy Treatment Planning
T. Sera*, T. Shiinoki, K. Fujimoto, Y. Yuasa, Y. Kawazoe, H. Tanaka |
|
| PO-GePV-M-138 : 4DCT Based Ventilation Imaging Correlation to Pulmonary Function Test for SBRT Lung Patients
T. Lin*, S. Kumar, A. Dayal, C. Ma |
|
| PO-GePV-M-139 : Multimodality Image Registration for Application in Brachytherapy Based On Automated Organ Segmentation
K. Qing*, X. Feng, S. Glaser, W. Watkins, D. Du, Y. Chen, C. Han, J. Liang, J. Liu, B. Liu, Q. Chen, A. Liu |
|
| PO-GePV-M-140 : A Study of 2D/3D with 3D/3D Registration Using KV/kV, KV/2.5X/6X
S. Lin*, D. Lovelock, S. Lim, J. Sillanpaa, D. Wang, C. Della-Biancia, S. Berry, D. Shasha, H. Kuo |
|
| PO-GePV-M-141 : Using Previously Registered CBCT Image to Facilitate Online HCT to CBCT Image Registration in Lung Stereotactic Body Radiation Therapy
J. Liang*, D. Yan, J. Wloch, J. Sliwinski, I. Grills, C. Stevens, T. Guerrero, Q. Liu |
|
| PO-GePV-M-142 : Comparing Dose Summation Techniques for External Beam and LDR Brachytherapy for Combined Modality Prostate Cancer Treatment
A. Cooney*, S. To, D. Guest, A. Riegel |
|
| PO-GePV-M-143 : Evaluation of the Displacement of the Target Position Caused by Residual Setup Errors in Stereotactic Radiosurgery with Single-Isocenter Volumetric Modulated Arc Therapy for Multiple Brain Metastases
Y. Tsuruta*, M. Nakamura, M. Nakata, H. Hirashima, D. Zhou, T. Fujimoto, K. Takehana, M. Uto, T. Mizowaki |
|
| PO-GePV-M-144 : A Quantitative Analysis of Lung Registration Error in a Clinically Used Deformable Image Registration Implementation Using Manually Identifiable Features in Fast Helical Free-Breathing CT Scans
L. Naumann*, B. Stiehl, M. Lauria, K. Singhrao, A. Santhanam, D. Low |
|
| PO-GePV-M-145 : A Method to Consider Dose Distribution and Dose Gradient in Evaluating Image Registration for Dose Accumulation
X. Wu*, J. Williamson, H. Gach, H. Li, D. Yang |
|
| PO-GePV-M-146 : High-Resolution Spine Digital Reconstructed Radiograph (DRR) for Motion Tracking in Paraspinal Treatment
W. Cai*, F. Li, X. He, P. Zhang, X. Li, T. Li |
|
| PO-GePV-M-147 : Automated Detection of IGRT Shift Errors Due to Mis-Registration
D. Pittock*, A. Kruzer, D. Faught, A. Nelson, E. Paulson |
|
| PO-GePV-M-148 : Intentional Deep Overfit Learning (IDOL) : An Application to Deep Learning Based MRI Super-Resolution
I. Park*, J. Chun, B. Choi, S. Olberg, T. Kim, B. Cai, A. Godley, A. Pompos, P. Medin, J. Kim, S. Jiang, J. Park |
|
| PO-GePV-M-149 : Left Ventricle Avoidance in Non-Small Cell Lung Cancer Radiotherapy: A Planning Comparison Study
O. Chau*, S. Gaede |
|
| PO-GePV-M-150 : Comparison of a Commercial Calculation-Based and Offline Measurement-Based Systems for Online Adaptive Radiotherapy
A. Quinn*, A. Briggs, B. Zwan, J. Booth |
|
| PO-GePV-M-151 : Evaluation of Dosimetric Impact of Organ Variation On Daily Basis Using MIM Image Registration Software
R. He*, H. Soysal, M. King, S. Vijayakumar, C. Yang |
|
| PO-GePV-M-152 : Deep Learning Markerless Spine Tracking Using Intrafraction Motion Management (IMR) Images: A Feasibility Study for Paraspinal SBRT Motion Management
F. Li*, W. Cai, X. He, P. Zhang, L. Cervino, X. Li, T. Li |
|
| PO-GePV-M-153 : Analysis of a Surface Imaging System Using a Six Degree of Freedom Couch
X. Zhao*, E. Covington, A. Alexandrian, R. Popple |
|
| PO-GePV-M-154 : Impact of Various Noise Reduction Techniques On Markerless Tumor Tracking in Dual Energy Imaging
M. Kaur*, P. Wagstaff, H. Mostafavi, M. Lehmann, D. Morf, L. Cortesi, L. Zhu, H. Kang, M. Harkenrider, J. Roeske |
|
| PO-GePV-M-155 : Feasibility Study of An InBore Real-Time Surface Monitoring System
G. Kim* |
|
| PO-GePV-M-156 : An IOS Surface Audiovisual Biofeedback Smartphone Application for Respiratory Monitoring in Radiation Oncology
T. Nano, E. Hirata, E. Blomain, L. Skinner, N. Prionas, B. Loo, D. Capaldi* |
|
| PO-GePV-M-157 : Towards Real-Time Markerless Prostate IGRT During VMAT Treatment
A. Mylonas*, M. Mueller, P. Keall, J. Booth, D. Nguyen |
|
| PO-GePV-M-158 : Enhancing Cherenkov Photon Yield by Gold Implants
K. Okazaki*, E. Brost, Y. Watanabe |
|
| PO-GePV-M-159 : Towards Faster and More Accurate Target Localization On Intrafraction X-Ray Fluoroscopy for Lung Radiotherapy Using Modified YoloV3 Detector
L. Deng*, Z. Dai, X. Liang, Y. Xie |
|
| PO-GePV-M-160 : Quantitative Interpretation of Data Acquired During Intrafraction Motion Review Imaging
G. Graeper*, A. Cetnar, A. Ayan, M. Weldon |
|
| PO-GePV-M-161 : Clinical Performance of a New Commercial Surface Imaging System for Frameless Stereotactic Radiosurgery
E. Covington*, D. Stanley, J. Fiveash, R. Popple |
|
| PO-GePV-M-162 : Comparing Patient Setup Techniques Between Optical Surface Guidance and Conventional Tattoo/Laser Alignment Using Cherenkov Image Consistency Metrics
R. Hachadorian*, D. Alexander, E. Chen, D. Gladstone, M. Jermyn, G. Gill, R. Zhang, P. Bruza, L. Jarvis, B. Pogue |
|
| PO-GePV-M-163 : Clinical Detectability of MR Suitable Prostate Fiducial Markers Utilizing the TrueBeam Advanced Imaging Package During VMAT Prostate Treatment in Phantom
M. Klem*, K. Jones, J. Turian |
|
| PO-GePV-M-164 : Auto-Segmentation of Organs at Risk for CT Thoracic Cases: A Single Institution's Experience
D. Darkow*, B. Lee, J. Seger-Paisley, R. Woods, U. Duong, A. Houser, J. Paisley, M. Butler, A. Kruzer, A. Nelson |
|
| PO-GePV-M-165 : Deep Learning-Based Auto-Segmentation of Glioblastoma in Brain Cancer Radiotherapy
S. Sadeghi*, S. Gholami |
|
| PO-GePV-M-167 : PTV Auto Contouring for Prostate and Nodes Utilizing Deep Learning Artificial Intelligence
H. Yao*, J. Chang, J. Baker |
|
| PO-GePV-M-168 : Synthetic Lung MRI for Auto-Segmentation Using Unet Training: Supervised Cross-Domain Adaptation From CT to MRI
Y. Liu*, J. Jiang, N. Tyagi, H. Veeraraghavan, G. Li, J. Deasy, L. Cervino |
|
| PO-GePV-M-169 : Prior Information Guided Auto-Contouring of Breast Tumor Bed for Post-Operative Breast Cancer Radiotherapy
X. Xie*, H. Yan, J. Dai |
|
| PO-GePV-M-170 : The Physics of Cellular Self-Assembly to Investigate Cancer Migration in Interface with Healthy Tissues
A. Shafiee*, J. Kassis, E. Ghadiri |
|
| PO-GePV-M-171 : Apparent Diffusion Coefficient Calculation On a 0.35T MR-Linac System
B. Lewis*, J. Shin, J. Kim, H. Gach, T. Kim |
|
| PO-GePV-M-172 : Automated Analysis of QA Images Acquired with Low-Field MRgRT
R. Moskwa*, B. Paliwal, I. Tanumihardjo, P. Yadav |
|
| PO-GePV-M-173 : Investigation of Unity MR-Linac Adaptive Planning On Prostate SBRT Plan Quality
J. St-Aubin*, J. Snyder, D. Dunkerley, S. Yaddanapudi, D. Hyer |
|
| PO-GePV-M-174 : The Dosimetric Impact of Magnetic Field On Lung Cancer Treatment When Using MR-Linac
C. Ding*, A. Godley, K. Westover, R. Timmerman, J. Park |
|
| PO-GePV-M-175 : Dosimetric Evaluation for MR-Linac Online Adaptive Planning Approaches: A Case Study of Recurrent Adrenocortical Carcinoma
J. Niedzielski*, A. Koong, A. Sobremonte, P. Castillo, B. Lee, J. Yang |
|
| PO-GePV-M-176 : Urethra Inter-Fractional Geometric Variations of Prostate Cancer Patients: A Study Using An On-Board MRI
J. Pham*, R. Savjani, S. Yoon, Y. Gao, M. Cao, P. Hu, K. Sheng, D. Low, M. Steinberg, A. Kishan, Y. Yang |
|
| PO-GePV-M-177 : Feasibility of Adapt-To-Position Treatment of Prostate Patients Undergoing Ultra-Hypofractionated MR-Guided Adaptive Radiotherapy
S. Burleson*, V. Brennan, M. Zelefsky, N. Tyagi |
|
| PO-GePV-M-178 : Dosimetric Effects of Air Cavities for MRI-Guided Online Adaptive Radiation Therapy (MRgART) of Prostate Bed After Radical Prostatectomy
J. Pham*, M. Cao, A. Kishan, Y. Yang |
|
| PO-GePV-M-180 : Superparamagnetic Iron Oxide Enhanced MRI for Elekta Unity MR-Linac: A Pre-Clinical Phantom Study
D. Lee*, P. Klepchick, H. Lee, D. Pavord, S. Oh, J. Sohn, A. Kirichenko |
|
| PO-GePV-M-181 : Evaluation of Cranial FSRT Plan Quality On a Magnetic Resonance Image Guided Linear Accelerator
K. Snyder*, J. Kim, J. Dolan, Y. Huang, A. Doemer, N. Wen, I. Chetty, P. Parikh, M. Shah, S. Siddiqui |
|
| PO-GePV-M-182 : Synthetic CT Generation From MRI for Stereotactic Radiosurgery
S. Hsu*, D. Mynampati, W. Tomé |
|
| PO-GePV-M-183 : CINE Viewer in Eclipse for Tumor Motion Evaluation in MRgRT
T. Kim*, Y. Wu, N. Knutson, M. Schmidt |
|
| PO-GePV-M-185 : Application of Super-Resolution Reconstruction to Prostate 0.35T MRI Scans
J. Charters*, A. Kishan, J. Lamb |
|
| PO-GePV-M-186 : Automated Detection of Freiburg Flap Applicator Catheters for Surface Brachytherapy On PETRA MR Images
E. Kaza*, C. Lee, R. Cormack, P. Devlin, I. Buzurovic |
|
| PO-GePV-M-187 : MRI-Based Prostate SBRT Treatment Planning Using Synthetic CT
J. Scholey*, T. Nano, X. Miao, P. Larson, M. Descovich |
|
| PO-GePV-M-188 : Geometric Accuracy of Spiral FLAIR for Treatment Planning in Stereotactic Radiosurgery: A Preliminary Study
Z. Li*, S. Srivastava, J. Karis |
|
| PO-GePV-M-190 : Dosimetric Evaluation of Compressed Sensing Respiratory Gating in MRI-Guided Radiotherapy
J. Charters, Y. Abdulkadir, D. O'Connell, Y. Yang, J. Lamb* |
|
| PO-GePV-M-192 : Dosimetric Evaluation of Irradiation Geometry and Potential Air-Gaps in An Acrylic Miniphantom Used for External Audit of Absolute Dose Calibration for a Hybrid 1.5T MR-Linac (MRL) System
N. Tyagi*, E. Subashi, D. Lovelock, S. Lim |
|
| PO-GePV-M-194 : Optimizing the Accuracy and Training Speed of An Artificial Neural Network for Three-Dimensional Tumour Trajectory Prediction in Linac-MR Image-Guided Radiation Therapy
N. Johnson*, B. Fallone, J. Yun |
|
| PO-GePV-M-195 : Implementation of a 3D Printing Program in a Radiation Oncology Clinic: A Case for Simple Custom Breast Bolus Fabrication
M. Lafreniere*, J. Cunha, M. Descovich, C. Park, N. Prionas, M. Sharma |
|
| PO-GePV-M-196 : X-Ray Imaging Properties of Tissue Equivalent Materials
R. Gao, D. Ma*, M. Li, J. Qiu |
|
| PO-GePV-M-197 : Evaluation of 3D Filaments for Creating Patient-Specific Radiotherapeutic Phantoms
J. Adamovics*, F. Li, O. Dona, Y. Wang, A. Adamovics, C. Wuu |
|
| PO-GePV-M-198 : Development and Performance Evaluation of a Portable Respiratory Self-Training System Using Patch Type Magnetic Sensor
H. Kang*, J. Kim, D. Kim |
|
| PO-GePV-M-199 : Developing and Testing a Real-Time Collision Avoidance System for Couch and Gantry of a Linear Accelerator (LINAC)
Z. Saleh*, J. Patrick, E. Klein |
|
| PO-GePV-M-200 : The Feasibility Study of In-Vivo Detection of Retained Gadolinium in Brain and Bone Using Magnetic Resonance Imaging (MRI) and K X-Ray Fluorescence (K-XRF) Systems
F. Mostafaei*, A. Arbab, J. Barrett, H. Nie, A. Maghsoodpour, A. Bosomtwi, A. Al-Basheer |
|
| PO-GePV-M-201 : An Indoor Real-Time Location System (RTLS) to Improve Patient Safety and Clinical Workflow of Radiation Therapy
Y. Yan*, G. Tang, E. Chambers, J. Gillespie, C. Wallace, T. Chiu, A. Pompos, A. Godley, D. Sher, K. Westover, H. Choy, R. Timmerman, S. Jiang |
|
| PO-GePV-M-202 : Total-Body Potassium in Rats Determined by Compact in Vivo Neutron Activation Analysis Assembly
S. Tabbassum*, C. Pinjing, F. Yanko, R. Balachandran, M. Aschner, A. Bowman, H. Nie |
|
| PO-GePV-M-205 : Carbon Nanotubes Role in KV X-Rays: Enhancement Or Diminution?
S. Ashmeg*, R. Lalonde |
|
| PO-GePV-M-206 : Virtual Collision Checks with a Laser Scanning and Depth Sensing Camera
B. Posehn*, H. Clark |
|
| PO-GePV-M-207 : Introduction of Automation in Radiation Treatment Plan Assignment and Daily Monitoring
J. Beaudry, E. Pinto, C. Czmielewski, N. Stein, B. Leong, S. Shen, C. Della-Biancia, G. Niyazov, L. Cervino, A. Damato* |
|
| PO-GePV-M-208 : A Supplementary Management System for Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR)
J. Lin*, A. Godley, R. Timmerman, D. Sher, J. Wu, G. Tang, Y. Yan |
|
| PO-GePV-M-209 : Analysis of the Dose Enhancement Factor in the Presence of Gold Nanoparticles in Clinical Radiotherapy Beams
P. Monteiro*, A. Quevedo, H. Trombini, T. Pianoschi |
|
| PO-GePV-M-210 : Measuring Distribution of An I-125 Labeled Elastin-Like Polypeptide (ELP) Nanoparticle Within Mice Tumors for Consideration as a Novel Technique of Delivering Brachytherapy
H. Song*, J. Milligan, K. Lafata, G. Kelly, A. Chilkoti, J. Cai, F. Yin |
|
| PO-GePV-M-212 : Prediction of Dose Discrepancies Using Differences in Plan Normalization Values of Head-And-Neck VMAT Plans
M. Sasaki*, H. Ikushima, S. Kobuchi, K. Kuwahara, A. Kajino, D. Sato, W. Sugimoto, M. Oita |
|
| PO-GePV-M-213 : Effect of VMAT Improvement Before and After Referring to Radiation Therapy Planning QA Software
M. Sasaki*, Y. Nakaguchi, T. Kamomae, S. Kobuchi, K. Kuwahara, A. Kajino, D. Sato, H. Ikushima |
|
| PO-GePV-M-214 : Geometric and Dosimetric Impact of 3D Generative Adversarial network-Based Metal Artifact Reduction Algorithm On VMAT and IMPT for the Head and Neck Region
M. Nakamura*, M. Nakao, K. Imanishi, H. Hirashima, Y. Tsuruta |
|
| PO-GePV-M-216 : Head and Neck Multi-Organ Segmentation On Dual-Energy CT Using Dual Pyramid Convolutional Neural Networks
T. Wang*, Y. Lei, J. Roper, B. Ghavidel, J. Beitler, M. McDonald, J. Bradley, T. Liu, X. Yang |
|
| PO-GePV-M-217 : Foreign Bodies Detection in Pediatrics with Low Dose CT
M. Aljallad* |
|
| PO-GePV-M-218 : Magnetic Particle Spectrometer for Diagnosis of Magnetic Nanoparticles
M. Irfan, N. Dogan, A. Bingolbali* |
|
| PO-GePV-M-221 : Inverse Shielding for Super High-Frequency (SHF) Microwaves to Ensure Contemporary PET Imaging Quality
K. Wang*, M. Huq |
|
| PO-GePV-M-222 : Direct Proton Dosimetry for Fractionated Radiotherapy: Dose Invariance Features and Mono-Endpoints
K. Wang*, R. Beatty |
|
| PO-GePV-M-223 : Respiratory Motion Management From MD Consultation to Radiotherapy
Z. Ji, M. Schmidt, N. Knutson, T. Kim* |
|
| PO-GePV-M-226 : Determination of the Phantom Surface Dose Using a Diode Detector for Diagnostic X-Ray Beams
R. Tanabe* |
|
| PO-GePV-M-228 : Quantification of Spinal Bone Marrow Fat Fraction Using Three-Material Decomposition Technique On Dual-Energy CT: A Feasibility Study
B. Li*, N. Hua, J. Li, V. Andreu-arasa, C. Lebedis, S. Anderson |
|
| PO-GePV-M-229 : The First Investigation of Spot-Scanning Proton Arc (SPArc) Delivery Time and Accuracy with Different Delivery Tolerance Window Settings
G. Liu*, L. Zhao, D. Yan, G. Janssens, X. Li, X. Ding |
|
| PO-GePV-M-230 : MRI Characterization of 3D Printed Anatomic Models Using a Dual-Echo Ultrashort TE (UTE) Sequence
N. Wake*, Q. Peng |
|
| PO-GePV-M-231 : Feasibility of Federated Learning for Head and Neck (HN) Tumor Segmentation in PET/CT
Y. Yuan*, S. Adabi, Y. Lo, J. Junn, R. Bakst |
|
| PO-GePV-M-232 : Clinical Evaluation Study of Image Guided Radiotherapy (IGRT) for Prostate Cancer Comparing Kv Imaging of Fiducial Markers and Cone Beam Computed Tomography (CBCT) Using SpaceOAR-View as a Matching Structure
R. Mghari*, I. Pataki, K. Keene |
|
| PO-GePV-M-233 : A Knowledge-Based Automatic Lung IMRT Planning Method for Partial Heart Sparing
L. Yuan*, J. Sohn, R. Singh, E. Weiss, S. Kim |
|
| PO-GePV-M-235 : A Site Agnostic 3D Dose Distribution Prediction Model for Radiation Therapy with Deep Neural Networks
M. Mashayekhi*, A. Balagopal, I. Tapia, X. Zhong, S. Jiang, D. Nguyen |
|
| PO-GePV-M-236 : Optimization of a FLASH Proton Beam Using a Track-Repeating Algorithm
Q. Wang*, U. Titt, R. Mohan, F. Guan, P. Yepes |
|
| PO-GePV-M-237 : Interpretable Artificial Intelligence-Based Extracapsular Extension Prediction in Head and Neck Cancer Analysis
Y. Wang, W. Duggar*, T. Thomas, P. Roberts, R. Gatewood, L. Bian, H. Wang |
|
| PO-GePV-M-238 : Using Deep Learning Auto-Planning for Evaluating the Dosimetric Impact of Deep Learning Auto-Segmentation Without Human Intervention Over Multiple Dose Escalation Schemes for Lung SBRT Treatment Planning
M. Holmström*, E. Samuelsson, Y. Wang |
|
| PO-GePV-M-239 : Validation of a Track-Repeating Monte Carlo Method for Isotopes Calculation
Q. Wang*, Y. Li, Z. Shen, M. Moyers, C. Zhu, D. Yu, X. Bai, A. Adair, H. Chen, J. Li, J. Lin, P. Yepes |
|
| PO-GePV-M-240 : Dual-Energy Subtraction Efficiency: Development of An Objective Quality Metric for Tissue-Subtraction Radiography
S. Lopez Maurino*, K. Karim |
|
| PO-GePV-M-242 : Decreasing NTCP Toxicity in Lung Cancer RT by Reducing PTV Margins Using a Combined Deep Learning Auto-Segmentation and Automated Treatment Planning Approach
M. Thor*, H. Veeraraghavan, J. Jiang, M. Zarepisheh, A. Rimner, J. Deasy |
|
| PO-GePV-M-243 : Multi-Scale Deep Learning CT Liver and Spleen Segmentation Network for Radiation-Induced Toxicity Outcomes Analysis
R. Haq*, I. Onochie, A. Apte, M. Thor, J. Deasy |
|
| PO-GePV-M-244 : Performance Evaluation and Validation of Knowledge-Based Treatment Planning of VMAT for Post-Mastectomy Loco-Regional Radiotherapy Involving Internal Mammary Chain
R. Phurailatpam*, M. Sah, J. Jain, T. Wadasadawala, K. Joshi, J. Swamidas |
|
| PO-GePV-M-245 : Benchmarking of Three Spatial Fractionated Radiation Therapy Techniques For Multiple Treatment Sites
J. Zavala Bojorquez* |
|
| PO-GePV-M-246 : A Motion Phantom Study On RefleXion X1: The Dosimetric Impacts of Stereotactic Radiation Therapy Delivery Technique and Motion
D. Capaldi*, E. Simiele, M. Owens, B. Han, M. Surucu, L. Xing, L. Vitzthum, D. Chang, N. Kovalchuk |
|
| PO-GePV-M-247 : Tattooless Patient Setup with 3D Optical Surface Imaging For Paraspinal Radiation Therapy
W. Ko, Y. Song, H. Hsu*, B. Mueller, D. Guttmann, L. Pike, P. Tamas, M. Zhang, J. Yamada |
|
| PO-GePV-M-248 : A Medical Image Challenge Infrastructure
K. Farahani*, J. Kalpathy-Cramer, B. Bearce, U. Wagner, |
|
| PO-GePV-M-249 : Automatic Segmentation of Head and Neck Tumors During Treatment: Can We Remove the Mask Yet?
M. Gardner*, A. Mylonas, M. Mueller, Y. Ben Bouchta, J. Sykes, P. Keall, D. Nguyen |
|
| PO-GePV-M-250 : Efficient and Stable Evaluation of Image Registration Using Deep Learning
B. Yang*, X. Chen, J. Zhu, K. Men, J. Dai |
|
| PO-GePV-M-251 : A Generalizable Target Contour Validation Method Using Radiomics Based Regression Analysis
Z. Lin*, C. Chen, Z. Fei, Q. Zhou, z. li |
|
| PO-GePV-M-253 : Translating Predictive Models Into Treatment Planning Guidelines for Use in Clinical Practice: The Example of the Cardiopulmonary Dose Model for Overall Survival in RTOG 0617
M. Thor*, L. Sun, P. Patel, C. Lee, A. Apte, L. Santanam, N. Shaverdian, A. Shepherd, A. Rimner, J. Deasy |
|
| PO-GePV-M-254 : Image Quality Assessment of Low CT Dose for Foreign Bodies Detection
M. Aljallad* |
|
| PO-GePV-M-255 : Ventilation Measurements From Free-Breathing CT
D. Low*, D. O'Connell, M. Lauria, B. Stiehl, L. Naumann, P. Lee, J. Hegde, I. Barjaktarevic, J. Goldin, A. Santhanam |
|
| PO-GePV-M-256 : Investigation of Light-Transparent Bolus for Potential Breast SGRT Applications
Y. Song, H. Hsu*, W. Ko, P. Tamas, M. Zhang, B. Mueller, D. Guttmann, L. Braunstein |
|
| PO-GePV-M-257 : A Deep Learning-Based Physician-Specific OAR Segmentation Framework for Radiotherapy Treatment Planning
Y. Chen*, L. Xing, L. Yu, N. Panjwani, J. Obeid, M. Gensheimer, H. Bagshaw, M. Buyyounouski, N. Kovalchuk, B. Han |
|
| PO-GePV-M-258 : Decision On SBRT,
regular Or Less Fractions RT with a Simple TCP and EQD2 Calculation
S. Li*, B. Wang, T. Giaddui, B. Micaily, C. Miyamoto |
|
| PO-GePV-M-259 : Penalized Entropy Loss Function with High Quality Uncertainty Estimation for Pneumonia Diagnosis in Pediatric Patients
D. Feng, X. Chen*, K. Wang, Z. Zhou |
|
| PO-GePV-M-261 : Predicting Lymph Node Metastasis Through Automated and Reliable Multi-Objective Model in Head & Neck Cancer
Z. Zhou*, L. Chen, M. Dohopolski, D. Sher, J. Wang |
|
| PO-GePV-M-262 : Development of Markerless Pancreatic Tumor Tracking Realized by Deep Learning
D. Zhou*, M. Nakamura, N. Mukumoto, M. Yoshimura, T. Mizowaki |
|
| PO-GePV-M-263 : Using New Feature Extraction Framework to Predict Heart Toxicity in Breast Cancer
B. Choi*, S. Yoo, J. Kim, H. Kim |
|
| PO-GePV-M-264 : Local Temperature as a Surrogate of Inflammatory State Induced by Skin Irritant
R. Culcasi*, M. Snyder |
