|
| PO-GePV-I-1 : Comparing Effective Doses for Hip Imaging Using Cone Beam CT (CBCT) and Multidetector CT (MDCT)
J. Dave, X. Jiang*, P. Machado, C. Roth, T. Minch |
|
| PO-GePV-I-2 : Short-Scan Cone-Beam Dedicated Breast CT: Self-Supervised Denoising From Single Image
Z. Fu*, H. Tseng, A. Karellas, S. Vedantham |
|
| PO-GePV-I-3 : Evaluation of the IVIscan Detector for Regulatory Dosimetric Quality Control Including Wide Radiation Beam for Computed Tomography and Cone-Beam Computed Tomography in Radiotherapy
C. POPOTTE*, M. Munier, C. Devic, N. Guillochon, D. Paul |
|
| PO-GePV-I-4 : Methodology to Estimate CTDI100(center) for Dental Cone Beam CT Based On Radiation Dose at the Input Surface of the Image Receptor
J. Dave* |
|
| PO-GePV-I-5 : Effective Doses for Extremity Imaging Using Cone Beam CT Scanners
J. Dave*, T. Minch |
|
| PO-GePV-I-6 : An Approach to Convert Dose Quantities From CT- and CBCT-Imaging
M. Borowski*, L. Pirl, S. Ketelhut, M. Kuhlmann, L. Büermann |
|
| PO-GePV-I-7 : Optimizing Dual-Energy CT Technique for Iodine-Based Compound Contrast-To-Noise Ratio
E. Sidky*, F. Terzioglu, J. Phillips, G. Bal, I. Reiser, X. Pan |
|
| PO-GePV-I-8 : Study On Image Quality Influenced by Two Decomposition Algorithms of Dual Energy Cone Beam CT
Z. Dong*, C. Li |
|
| PO-GePV-I-9 : Segmentation of Tumor and Organs at Risk for CBCT-Based Online Adaptive Radiotherapy Using Recurrent Neural Networks with Multi-Scale Memory
H. Zhao*, X. Liang, B. Meng, M. Dohopolski, B. Choi, B. Cai, M. Lin, T. Bai, D. Nguyen, S. Jiang |
|
| PO-GePV-I-10 : Development of a Deformable Image Registration Technique for Abdominal Cone-Beam CT Using Deep Learning with Generative Adversarial Network
Y. Zhang*, Y. Liu, T. Lv, H. Gong, W. Zhao, G. Zhang, S. Xu |
|
| PO-GePV-I-11 : Generation of Synthetic CBCT with Artifacts Caused by Peristaltic Movement From Planning CT
T. Onishi*, M. Nakamura, D. Zhou, Y. Tsuruta, M. Sasaki, N. Matsushita, A. Ogawa, R. Ashida, T. Mizowaki |
|
| PO-GePV-I-12 : A Hybrid Scatter Correction Algorithm for CBCT to Incorporate System-Specific Information with a Deep Learning-Based Scatter Correction Algorithm
H. Lee*, A. Lalonde, B. Winey, G. Sharp, H. Paganetti |
|
| PO-GePV-I-13 : Comparison of Patient-Specific Deep Learning Models for Enhancing 4D-CBCT Image for Radiomics Analysis
Z. Zhang*, M. Huang, Z. Jiang, Y. Chang, K. Lu, Z. Qiao, F. Yin, P. Tran, D. Wu, C. Beltran, L. Ren |
|
| PO-GePV-I-14 : A Historical Review of CBCT QA Performance On One Truebeam LINAC
K. Episcopia, D. Lovelock*, P. Klages, H. Kuo, S. Lim, J. Sillanpaa |
|
| PO-GePV-I-15 : CT Simulation Realism: What Are the Impacts of Simulation Parameters?
I. Montero*, S. Sotoudeh-paima, E. Abadi, E. Samei |
|
| PO-GePV-I-16 : Sequential Cone-Beam Computed Tomography-Based Radiomics Analysis for Improving the Prediction of Radiation Pneumonitis
Z. Song*, H. Liu, C. Li, Y. Zhang, Y. Jiang |
|
| PO-GePV-I-17 : Evaluation of Automatic Prostate Volume Generation for Cone-Beam CT-Based Delta-Radiomics of Prostate Cancer
A. Deana*, R. Delgadillo, R. Schmidt, B. Spieler, J. Ford, D. Kwon, M. Studenski, K. Padgett, M. Abramowitz, A. Dal Pra, R. Stoyanova, N. Dogan |
|
| PO-GePV-I-18 : Low-Dose Cone-Beam Dedicated Breast CT: Self-Supervised Denoising From Single Image
Z. Fu*, H. Tseng, A. Karellas, S. Vedantham |
|
| PO-GePV-I-19 : Image Reconstruction From Limited-Angular-Range Data Acquired with An Offset-Detector
D. Xia, B. Chen, Z. Zhang, E. Sidky*, X. Pan |
|
| PO-GePV-I-20 : Real-Time 3D CT Reconstruction and Tumor Segmentation Based On Single X-Ray Image at Any Gantry Angle
M. Zhang*, B. Liu, r. wei, F. Zhou |
|
| PO-GePV-I-21 : Theoretical Examination of Lag Suppression in Detectors Employing Polycrystalline HgI2 Converters Through Incorporation of Frisch Grid Structures for Digital Breast Tomosynthesis
L. Shen*, Y. El-Mohri, Q. Zhao, L. Antonuk |
|
| PO-GePV-I-22 : A Qualitative Study of Improving Megavoltage Computed Tomography Image Quality and Dose Calculation Using CycleGAN-Based Image Synthesis for Helical Tomotherapy of Head and Neck Cancer
T. Lv*, C. Xie, X. Dai, W. Zhao, G. Zhang, B. Qu, S. Xu |
|
| PO-GePV-I-23 : Whole-Brain Arterial Cerebral Blood Volume (CBVa) Measurement Using 3D Inflow-Based Vascular-Space-Occupancy (iVASO) MRI
C. Gu*, D. Cao, X. Miao, A. Paez, J. Cai, Y. Li, W. Li, J. Pillai, P. Van Zijl, J. Hua |
|
| PO-GePV-I-24 : The
ACR MRI QC Low-Contrast Detectability Test and the Rose Model
H. Gach* |
|
| PO-GePV-I-25 : Real-Time Quality Control of RF Coils Using Clinical MRI Data
T. McKeown*, S. Robertson, E. Samei |
|
| PO-GePV-I-26 : Comparison Between EPI DWI and PROPELLER DWI in MR Brain Imaging
P. Mavroidis*, E. Giankou, M. Papaioannou, V. Roka, A. Tsikrika, S. Kostopoulos, D. Glotsos, G. Sakkas, E. Dardiotis, D. Chaniotis, S. Stathakis, E. Kapsalaki, E. Lavdas |
|
| PO-GePV-I-27 : Implementation and Testing of Intermolecular Multiple Quantum Coherence MRI On Clinical 3T MRI for Brown Adipose Tissue Detection
R. Dugan*, K. Kirby, O. Carmichael |
|
| PO-GePV-I-28 : 3D-MRI Reconstruction From Single Cine-MRI Using Transfer Learning
r. wei*, B. Liang, K. Men, J. Dai |
|
| PO-GePV-I-29 : Contrast-Enhanced Dynamic MRI of Brain Lymphatic Vessels: A Feasibility Study
R. Gabr*, J. Lincoln, K. Hasan, L. Kramer |
|
| PO-GePV-I-30 : Pharmacokinetic Modeling for Hyperpolarized MRI of 13C Urea
K. Michel*, C. Walker, S. Lai, M. Merritt, J. Bankson |
|
| PO-GePV-I-31 : Quantifying the Influence of a Vendor DL Reconstruction Algorithm On MR Image Quality
J. Sanders, R. Stafford*, C. Walker |
|
| PO-GePV-I-32 : Compensating for Integer Truncation When Measuring the SNR of Low Noise MR Images
M. NessAiver, E. Nessaiver, A. Nessaiver |
|
| PO-GePV-I-33 : The 'BEST' Method of Measuring SNR of MRI QA Images
M. NessAiver*, E. Nessaiver, S. Nessaiver, A. Nessaiver |
|
| PO-GePV-I-34 : MRI-Based Radiomics Model Improves Prognosis Prediction in Advanced Rectal Cancer Undergoing Neoadjuvant Chemoradiotherapy and Surgical Resection
Q. Zhao* |
|
| PO-GePV-I-35 : MRS and Diffusion MRI in a Maternal Obesity Model of Developmental Programming in Baboon Offspring
J. Vasquez*, G. Clarke |
|
| PO-GePV-I-36 : Epicardial Fat: Evaluating Measurement Methodology of An Imaging Biomarker
G. Clarke*, A. Moody, J. Curran, J. Blangero |
|
| PO-GePV-I-38 : Radiomic Analysis of Tumor Heterogeneity in HCC Post-Chemotherapy Using MRI
Q. Zhao* |
|
| PO-GePV-I-39 : Developing a 3D Printed Phantom for Multi-Institutional Radiomic Studies and Assessment Software to Evaluate a Radiomic Software
S. Duong, D. Lee, S. Oh, X. Chen, M. Hwang, H. Li, Y. Cui, M. Boss, Y. Xiao, J. Sohn* |
|
| PO-GePV-I-41 : 3D Super-Resolution Reconstruction for Hippocampus Sparing in Brain Radiotherapy (in Silico Study)
J. Lee*, J. Chun, J. Kim, T. Kim |
|
| PO-GePV-I-42 : Importance of Determining the Maximum Magnetic Displacement Forces for Implanted Devices Everywhere Within the Magnet Bore: A 3T-7T Comparison Study
L. Bardwell Speltz*, K. Kirby, P. Trester, I. Langenfeld, M. Bernstein, A. Fagan |
|
| PO-GePV-I-43 : Thermal Risks Induced by Active Implantable Medical Devices in MRI Exams with Fast Gradient Field Switching
Y. Lu*, D. Ragan, Y. Liu |
|
| PO-GePV-I-44 : Gd-Doped Gel Phantom Recipe Calculator for 3T MRI
Z. Razi*, A. Bumin, H. Gao, Z. Zhang, M. Arreola |
|
| PO-GePV-I-46 : Machine Learning Algorithms Accurately Predict Organ and Effective Dose in Pediatric Computed Tomography
Y. Gao*, U. Mahmood, W. Tang, L. Dauer, Y. Erdi |
|
| PO-GePV-I-47 : Development of a Web-Based Tool for the Estimation of Organ Doses in Pediatric and Adult Chest CT Examinations
J. Damilakis*, J. Stratakis, M. Myronakis |
|
| PO-GePV-I-48 : Investigation Of Patient Understanding And Communication Preferences Associated With Radiation Exposure From CT Scans
M. Supanich*, H. Ho, L. Sclamberg |
|
| PO-GePV-I-49 : Leapfrog CT DLP Data Collection Without Using Dose Monitoring Software for a Pediatric Hospital
W. Wang* |
|
| PO-GePV-I-50 : The Effect of Beam Overlapping in Dual-Energy Volume CT Scans and Single-Energy Helical Scans
N. Correa*, I. Barreto, M. Arreola |
|
| PO-GePV-I-51 : Development and Verification of a Subregional Radiomic Framework for Image Segmentation
J. Gu*, B. Li, J. Zhu |
|
| PO-GePV-I-52 : Infuence of Abnormal Right Coronary Artery Originating From the Left Coronary Sinus in Hemodynamic Environment
H. Zhao*, M. Cong, J. Qiu, S. Sun |
|
| PO-GePV-I-53 : MATU-Net: A Deep Learning-Based Pipeline for Auto Segmentation of Pelvic Lymph Nodes During Brachytherapy of Locally Advanced Cervical Cancer
E. Showkatian*, Z. Siavashpour, S. Sadeghi |
|
| PO-GePV-I-54 : Optimized Practice for Metal Artifact Reduction
J. Dumas*, A. Bruget, R. Dal, L. De Marzi, V. Calugaru, R. Ferrand |
|
| PO-GePV-I-55 : Photon Counting Detector: The First Human Images
I. Bechwati*, D. Lee, D. Kim, J. Park |
|
| PO-GePV-I-56 : Development of An Ultra-Low Dose Computed Tomography Protocol for Detection of Inhaled Foreign Bodies in Pediatric Patients
C. Kofler*, I. Reiser, E. Marshall, Z. Lu, K. Feinstein, M. Zaritzky |
|
| PO-GePV-I-57 : Analysis of Computed Tomography Radiation Dose in Southern California Hospitals
J. Deslongchamps*, J. Wang, J. Clements |
|
| PO-GePV-I-58 : Organ Dose Reduction with a Limited Scan
range CT Protocol for Evaluation of Appendicitis
E. Tonkopi*, A. Dowhanik, A. Costa |
|
| PO-GePV-I-59 : Variability of Radiomics Features with O-MAR Iterative Reconstruction
J. Foy* |
|
| PO-GePV-I-60 : Assessing the Variability of Quantitative Imaging Features Across a Range of CT Acquisition and Reconstruction Parameters: Investigating Whether Data From One Scanner Can Be Used to Represent the Range of Data From Other Scanners
G. Melendez-Corres*, G. Kim, M. Wahi-Anwar, M. McNitt-Gray |
|
| PO-GePV-I-61 : Personalized Patient-Adaptive Sparse-View CT Deep Reconstruction
B. Song*, L. Shen, L. Xing |
|
| PO-GePV-I-62 : Evaluation of a Direct-Ion Storage Dosimeter in Personnel Radiation Dosimetry
N. Quails*, J. Zhang, X. Yang, D. Hintenlang |
|
| PO-GePV-I-63 : Multimodal Image Translation Via Deep Learning Inference Model Trained in Video Domain
j. fan*, D. Yang, J. Wang, W. Hu |
|
| PO-GePV-I-64 : Assessment of the Generalizability of Organ Segmentation CNNs Across CT Scanner Manufacturers
A. Weisman*, M. La Fontaine, O. Lokre, R. Munian-govindan, T. Perk |
|
| PO-GePV-I-65 : Standardizing Radiotherapy Structure Names with Multimodal Data: Deep Learning Approach
P. Bose*, S. Srinivasan, P. Turner, W. Sleeman, J. Palta, R. Kapoor, P. Ghosh |
|
| PO-GePV-I-66 : Comparison of Automatic and Manual QC Luminance Measurements in Primary Monitors (PDMs) Over the 2-Year Period
A. Ruuge*, Y. Erdi |
|
| PO-GePV-I-67 : The Use of Volume Expansion Approach On Quantitative Estimation of Total Organ Activity in Clinical Quantitative SPECT/CT
J. Bian*, J. Halama |
|
| PO-GePV-I-69 : Investigating the Effect of Reducing Radiation Dose On Quantitative Imaging Features Extracted From CT Renal Perfusion Protocol
M. Daly*, M. Wahi-Anwar, G. Melendez-Corres, G. Kim, S. Raman, M. McNitt-Gray |
|
| PO-GePV-I-70 : Bridging the Gap Between Machine Learning and Clinicians Through Interpretable AI in Head and Neck Cancer Assessment
Y. Wang, W. Duggar*, T. Thomas, P. Roberts, R. Gatewood, S. Vijayakumar, L. Bian, H. Wang |
|
| PO-GePV-I-71 : CT-Dose: Software Interface to Calculate Dose to Organ in Medical Imaging
S. Morató Rafet*, R. Miró Herrero, B. Juste Vidal, S. Oliver Gil, J. Vijande, F. Ballester, G. Verdú Martín, A. Santos, M. Mille |
|
| PO-GePV-I-72 : Integrated Dosimetry Software for Azedra I-131 Therapy
D. Sheftman*, D. Hintenlang |
|
| PO-GePV-I-73 : Automated Maximum Standardized Uptake Value Determination On FDG-PET for Diffuse Large B-Cell Lymphoma
R. Kuker*, J. Alderuccio, A. Rincon, W. Zhao, C. Moskowitz, F. Yang |
|
| PO-GePV-I-74 : Review of [18F]FDG PET-CT Protocol Trends in Response to Advancements in PET Technology in the Past 15-Years
N. Kasraie*, J. Gallet, M. Park |
|
| PO-GePV-I-75 : Internal Dose Assessment for the Patient in 131I Misadministration Accident Based On the Individual-Specific Biokinetics and Korean Reference Models
T. Kwon*, M. Park, M. Cho |
|
| PO-GePV-I-76 : Predicting Later Time Frame Images in Dynamic PET Using Deep Learning
M. Mokri*, M. Safari, J. Dasilva, S. Kaviani, L. Archambault, J. Carrier |
|
| PO-GePV-I-77 : Feasibility of Implementing Standardized Fluorodeoxyglucose and Florbetapir Brain PET Processing Pipelines
M. Naseri*, S. Ramakrishnapillai, L. Bazzano, O. Carmichael |
|
| PO-GePV-I-78 : Comparison of 18F-Choline and 18F-PSMA Performance On Detecting Malignant Lesions Using Fuzzy C-Means Segmentation On PET-CT Images of Patients with Recurrent Prostate Cancer
M. Katsikakis, I. Gatos, N. Papathanasiou, S. Tsantis, D. Apostolopoulos, K. Papadimitropoulos, M. Spiliotopoulou, E. Liatsikos, D. Mihailidis, G. Kagadis* |
|
| PO-GePV-I-79 : Evaluating Reconstruction Parameter for Improving Quantitative Accuracy in PET
K. Saha*, C. Cheney |
|
| PO-GePV-I-80 : Impact of PSF Modeling On PET/CT Reconstructed Phantom Images
C. Cheney*, K. Saha |
|
| PO-GePV-I-82 : Predicting F-18 FMISO PET Hypoxia Measurements From F-18 FDG PET Scan Using a Generative Adversarial Network
W. Zhao*, M. Grkovski, N. Lee, H. Schöder, J. Humm, H. Veeraraghavan, J. Deasy |
|
| PO-GePV-I-83 : 3D Printed Capillary Tube Holder to Support AAPM Task Group Report 126
J. Grice* |
|
| PO-GePV-I-84 : Color Cherenkov Imaging Can Correct for Variations in Skin Melanin Concentration When Monitoring Radiation Dose Delivery
V. Wickramasinghe*, S. Decker, R. Zhang, P. Bruza, D. Gladstone, D. Alexander, B. Pogue |
|
| PO-GePV-I-85 : Chest X-Ray Enhancement Based On Bone-Suppression Model Using Multi-Dilated-Rate Strategy
Z. Chen*, H. Sun, L. Song, G. Ren, J. Yang, J. Cai |
|
| PO-GePV-I-87 : A Comprehensive Physical Characterization of Commercially Available 3D Printing Materials for Use in Creating Patient-Specific Treatment Devices and Phantoms
M. Kozee*, J. Weygand, D. Hunt, G. Redler, J. Graham |
|
| PO-GePV-I-88 : Standardizing Radiotherapy Structure Names: A Federated Learning Based Approach
A. Cherevko, S. Srinivasan*, W. Sleeman, P. Bose, P. Turner, P. Ghosh, R. Kapoor, J. Palta |
|
| PO-GePV-I-89 : Preclinical Tumor Growth Delay Is More Reliably Derived From Imaging-Based Volume Measurements Than Manual Caliper Measurements
M. Shotbolt*, J. Castro, B. Spieler, S. Welford, I. Mihaylov |
|
| PO-GePV-I-90 : Robust Method for X-Ray Beam Alignment Testing of Fluoroscopy Equipment
A. LaBella*, D. Kim |
|
| PO-GePV-I-91 : Fewer Samples, Equally Confident: An Adaptive Sampling Method for Estimating the Coefficient of Variation with Sample Size Based QC Limits
H. Chen*, W. Siman, R. Milman |
|
| PO-GePV-I-92 : Initial Evaluation of a Low-Focus Grid Versus Air Gap for Lateral Hip Digital Radiography Using a Phantom
K. Kirby*, B. Schueler, S. Broski, T. Daly, Z. Long |
|
| PO-GePV-I-93 : Characterization of the Modified Solid-State Detector, RTI R-100M, in the Diagnostic Energy Range Compared Against Production Model RTI R-100 and Ionization Chamber
A. Aljabal*, P. Lin, M. Ghita |
|
| PO-GePV-I-94 : Characterization of Patient Dose Distribution and Probabilistic Risk Analysis in Cardiac Catheterization Laboratories
V. Weir*, J. Zhang, M. Khan |
|
| PO-GePV-I-95 : Impact of Anatomical Phantoms On Organ Dose Estimates for Patients Undergoing Fluoroscopically-Guided Interventions (FGIs)
S. Streitmatter*, J. Shin, C. Lee |
|
| PO-GePV-I-96 : Measurement and Assessment of Dose-Area-Product in Dual-Energy X-Ray Absorptiometry
A. Thomas*, J. Jiminez, S. Fahrenholtz, K. Hamdani, W. Erwin |
|
| PO-GePV-I-97 : Detection of Coronary Artery Inflammation Using Dual Energy CT
S. Nie*, S. Molloi |
|
| PO-GePV-I-98 : Automatic Detector QC and Image Quality Assessment in Digital Radiography
R. DiTusa*, J. So, Y. Liu, B. Peng, H. Hsu, P. Chaudhary, T. Lin, S. Jambawalikar |
|
| PO-GePV-I-99 : Structure Boundary Preserving U-Net for Prostate Ultrasound Images Segmentation
H. Bi*, J. Sun, G. Liugang, N. Xinye |
|
| PO-GePV-I-100 : Attention U-Net Segmentation of Indeterminate Nodules On Thyroid Ultrasound
J. Genender*, J. Fuhrman, H. Li, K. Memeh, J. Conn Busch, J. Williams, L. Lan, D. Sarne, B. Finnerty, P. Angelos, T. Fahey, X. Keutgen, M. Giger |
|
| PO-GePV-I-101 : Thyroid Nodule Classification in Ultrasound Imaging Using Contrastive Learning Based On ViT
J. Sun*, H. Bi, G. Liugang, X. Kai, C. Qian, N. Xinye |
