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AAPM/COMP Meeting 2020

This year's joint AAPM/COMP meeting was held virtually July 12-16. This year's theme was Improving Health Quality. Increasing Global Impact. Our Department participated in dozens of posters and presentations.

Invited Speaker Presentation

  • Radiation Therapy in the Era of Artificial Intelligence. D Nguyen1*, H Li2*, S Jiang3*, J V has Soest4*, L Conroy5, G Valdes6

Oral Presentations

  • Error Reduction by Synergizing Event Reporting and Automation- Proffered Submission. M Lin*, Y Park, A Pompos, R Reynolds, A Owrangi, D Sher, S Jiang, A Godley
  • Simultaneous Needle Selection and Dwell Time Optimization in Prostate Cancer High-Dose-Rate Brachytherapy. C Wang*, Y Gonzalez, C Shen, X Jia
  • Human Knowledge Augmented Deep Reinforcement Learning for Intelligent Automatic Radiotherapy Treatment Planning. C Shen*, L Chen, Y Gonzalez, D Nguyen, S Jiang, X Jia
  • Inter-Institutional Dose Prediction with Deep Convolutional Neural Network and Transfer Learning for Prostate Cancer VMAT Treatments. R Norouzi-Kandalan1,2*, D Nguyen1, MH Lin1, A B Montero3, S Breedveld4, K Namuduri2, S Jiang1
  • Monte Carlo Dose Denoising Using Weekly-Supervised Deep Learning. T Bai, B Wang*, W Lu, D Nguyen, S Jiang
  • Develop a Real-Time Location System to Improve Safety and Clinical Workflow in Radiation Oncology. G Tang*, C Shen, X Jia, M Zinn, D Sher, Z Trivedi, T Chiu, H Choy, R Timmerman, S Jiang, Y Yan
  • Advanced Silicon Photomultiplier ASIC Readout for PET Imaging Applications. D Yang1, X Cheng2, W Zhang3, D Gong4, Q Sun5, J Ye6, Y Shao7
  • Develop a Real-time Location System to Improve Safety and Clinical Workflow in Radiation Oncology. G Tang*, C Shen, X Jia, M Zinn, D Sher, Z Trivedi, T Chiu, H Choy, R Timmerman, S Jiang, Y Yan
  • MRI Reconstruction for Image-Guided Radiation Therapy from Undersampled Data Acquisition Using a Patient-Specific Deep Manifold Based Image Prior. J Grandinetti*, C Shen, X Jia
  • Automatic On-Board Liver Tumor Localization by Cone-Beam Projections and a Deformation-Driven Technique (U-Net-Bio). X Huang, J Wang, Y Zhang
  • Attention Guided Lymph Node Malignancy Prediction in Head and Neck Cancer, AAPM Annual Meeting, 2020. L Chen, M Dohopolski, Z Zhou, K Wang, R Wang, D Sher, J Wang
  • Development and Evaluation of a High-Performance Onboard Animal PET for Preclinical Radiotherapy Research. X Cheng, K Hu, D Yang, Y Shao*
  • Ultra-High Throughput PET Coincidence Processor Based On Scatter-Gather Hierarchy Development and Evaluation of a High-Performance Onboard Animal PET for Preclinical Radiotherapy Research. X Cheng, K Hu, D Yang, Y Shao*
  • Monte Carlo Simulation of a KV Scattered X-Ray Imaging-Based Real-Time In-Treatment Image Guidance Method for Radiation Therapy. Y Huang*, K Yang, X Li, B Liu, H Liu, Y Lai, C Shen, X Jia
  • Recent Progress On the Development of An Open-Source, High-Performance Microscopic Monte Carlo Simulation Package – GmicroMC. Y Lai1*, X Jia2, Y Chi
  • Functionally Weighted Airway Sparing (FWAS) to Preserve Post-SAbR Respiratory Function. E Vicente*, A Modiri, J Kipritidis, A Hagan1, K Yu, H Wibowo, Y Yan, D Owen6, M Matuszak6, P Mohindra, R Timmerman, A Sawant

Blue Ribbon ePoster Presentations

  • Hard Constraint Approximation for Deep Learning in Radiation Therapy. R McBeth*, MH Lin, A Godley, S Jiang, D Nguyen
  • Hierarchical Deep Reinforcement Learning for Intelligent Automatic Radiotherapy Treatment Planning. C Shen*, L Chen, Y Gonzalez, D Nguyen, S Jiang, X Jia
  • Dose-Volume Histogram Based Inverse Treatment Planning Via Deep Reinforcement Learning in Intensity Modulated Radiation Therapy (IMRT) for Prostate Cancer. D Sprouts*, Y Chi, C Shen, X Jia
  • Segmentation of Invisible Target Volume with Estimated Uncertainties for Post-Operative Prostate Cancer Radiotherapy. A Balagopal*, D Nguyen, MH Lin, H Morgan, N Desai, R Hannan, A Garant, Y Gonzalez, A Barkousaraie, S Jiang
  • Prediction of Three-Dimensional Dose Distributions with Deep Learning for Automatic Treatment Planning of Scanned Proton Therapy. A B Montero1*, M Huet-Dastarac1, S Teruel-Rivas1, K Souris1, D Nguyen2, S Jiang2, J A Lee1, E Sterpin 1, 
  • CycleGAN Based Transfer Learning for Synthesizing CT Image From MR Image. W Li1,2,3*, T Bai1, D Nguyen1, A Owrangi1, S Kazemifar1, Y Li2,3, J Xiong2, Y Xie2, S Jiang1
  • Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy. G Bohara*, A Barkousaraie, S Jiang, D Nguyen
  • Data Shapely Based Auto-Labeling Algorithm. T Bai, B Wang, B Wang*, D Nguyen, S Jiang
  • Developing a Novel 3D Print-Based Phantom to Facilitate Ultrasound-Guided Interstitial Gynecologic Brachytherapy Training Simulation. Z Xiong*, D Parsons, Y Zhong, B Gannavarapu, C Nwachukwu, M Folkert, X Jia, P Medin, K Albuquerque, B Hrycushko, T Chiu
  • Development of An Imaging and Treatment Planning System for Small Animal Radiation Research. H Liu*, Y Zhong, X Jia
  • Combining Radiomics and Convolutional Neural Network to Predict Tumor Growth of Vestibular Schwannoma. K Wang, L Chen, N George-Jones, J Hunter, J Wang
  • Comprehensive Calibration and Evaluation of a Cone-Beam CT On a Pre-Clinical Small Animal Radiation Research Platform. K Yang*, Y Huang, X Jia, X Li, B Liu
  • A Convolutional Neural Network Approach with Dual-Energy Computed Tomography for Proton Stopping-Power-Ratio Estimation. H Lee1*, X Duan1, Y Park1, X Jia1, S Jiang1, M Yang2
  • Deep-Learning Based Prediction of Physicians Intention for High-Dose-Rate Brachytherapy with Tandem-And-Ovoids Applicator. Y Gonzalez*, C Shen, K Albuquerque, X Jia
  • Investigating Oxygen Depletion Effect in FLASH Therapy Using GPU-Based Fast Monte Carlo Simulations. Y Lai*, Y Chi, X Jia
  • Microscopic Monte Carlo Simulation for DNA Damage Calculations with Oxygen Distribution. Y Lai, X Jia, Y Chi
  • Dose Rate Determination for Preclinical Total Body Irradiation. Y Zhong*, Y Lai, S Stojadinovic, M Story, X Jia

ePosters

  • DCT-Based Generative Adversarial Network for Low Dose CT Reconstruction. L Liu, J Wang, S Tan
  • Automatic Tumor Segmentation in Digital Breast Tomosynthesis Using U-Net. A Qasem, G Qin, J Wang, Z Zhou
  • Head Neck Cancer Locoregional Recurrence Prediction Using Delta-Radiomics Feature. K Wang, Z Zhou, L Chen, R Wang, D Sher, J Wang
  • Deberardinis, and J. Wang, Deciphering Metabolic Features to Target Neuroblastoma Using Machine Learning. R Wang, Y Zhang, P Pachnis, H Vu, K Wang..
  • Pursuit of Efficient Image Domain Motion Estimation for G-SMEIR. S Zhou, Y Chi, J Wang, M Jin
  • Development and Evaluation of General Simultaneous Motion Estimation and Image Reconstruction (G-SMEIR). S Zhou, Y Chi, J Wang, M Jin
  • Comparing the Stability of Deep Inspiration Breath-Holds Between ABC and VisionRT During Breast Irradiation. Z Iqbal, R McBeth, M Joo, D Parsons, A Rahimi, N Kim, A Sawant, Xn Gu, B Zhao

General ePoster Junior Investigator Competition

  • MRI-Only Brain Radiotherapy: Assessing the Dosimetric Accuracy of Synthetic CT Images Generated Using Cycle GAN. S Kazemifar1*, A Barragan Montero2, T Bai1, R Timmerman1, Y Park1, M Lin1, S Jiang1, A Owrangi1
  • Quick Estimation of Cutout Factor in 2D Electron Radiotherapy Using Deep Learning. S Kazemifar*, A Owrangi, M Lin, S Jiang, Y Park

General ePosters

  • Comparison of Artificial Intelligence Based Decision Support Tool for Head and Neck Treatment Planning. R McBeth*, D Nguyen, HJ Wang, R Norouzi-Kandalan, M Mashayekhi, X Zhong, Z Iqbal, A Godley, S Jiang, MH Lin
  • CNC-Laser Assisted Automated Electron Cutout Fabrication with 3D Print-Based Quality Assurance and Computer Vision. T Chiu1*, D Shrestha1, Z Xiong1, H Wang2, M Lin1, Y Park1, A Godley1, R Reynolds1
  • MR-Guided Patient Specific QA Devices: Single Plane Ionization Array Versus Orthogonal Diode Planes. T Romaguera*, K Mittauer, D Alvarez, A Gutierrez, V Mishra, A Godley, T Poozhikala, W Romaguera
  • Applying a Real-Time Location Service to Automatically Record Event Attendance 5. W Lu*, Y Yan, M Chen
  • Archive Dicomizer--Bring Buried Clinical Data Into New Life. A Godley*, G Tang, Y Yan
  • Automated Real Time Pre-Irradiation Chart Check Tool - Proffered Submission. A Pompos*, Y Park, M Lin, A Godley, J Tan, S Jiang
  • Comparing Biological Equivalent Dose of Liver Tumor Treatment Schemes Using Universal. C Ding*, M Folkert, R Timmerman
  • Region Specific Dose Prediction Using Deep Neural Networks: A Feasibility Study On the Planning Target Volume of Prostate IMRT Patients. D Nguyen*, S Jiang
  • Commissioning of a Deep Learning-Based Radiotherapy Dose Calculation Engine. X Zhong*, Y Xing, D Nguyen, R McBeth, R Norouzi-Kandalan, Y Zhang, MH Lin, W Lu, S Jiang
  • Deep Learning Based Treatment Plan Evaluation. X Zhong*, D Nguyen, R McBeth, A Balagopal, M Mashayekhi, MH Lin, S Jiang
  • Generalizability Issue of Deep Learning Models in Medicine and Its Potential Solutions: Illustrated with CBCT to CT Image Conversion. X Liang*, D Nguyen, S Jiang
  • A Deep Learning-Based Interactive Software Tool to Assist Physicians Revising CTV Contours to Achieve Balanced Tumor Coverage and Organ Sparing. A Balagopal*, D Nguyen, M Mashayekhi, MH Lin, A Garant, N Desai, R Hannan, Y Weng, X Gu, S Jiang
  • A Deep Reinforcement Learning Based Neural Network for Beam Orientation Selection Problem in the Treatment Planning of the IMRT Prostate Cancer. A Barkousaraie, G Bohara, S Jiang, D Nguyen*
  • Treatment Outcome Prediction Using PET-Based Deep Learning. M Joo*, Q Zhang, D Nguyen, D Sher, S Jiang
  • A Variable-OAR Volumetric Dose Prediction Model for Radiation Therapy Using Deep Learning. M Mashayekhi1*, I Tapia2, A Barkousaraie1, A Balagopal1, X Zhong1, S Jiang1, D Nguyen1
  • Self-Supervised Deep Learning for Low-Dose CT Image Denoising. T Bai*, D Nguyen, S Jiang
  • Can Deep Learning Raise the Quality of Low-Dose CT Images Above That of Normal-Dose CT Images? T Bai1*, D Nguyen1, G Wang2, S Jiang1
  • Towards Safer Artificial Intelligence-Based Radiation Therapy Treatment Planning: Adding Uncertainty Estimation to Volumetric Dose Prediction Using An Approximate Bayesian Method On Deep Neural Networks. D Nguyen*, A Balagopal, A Barkousaraie, R McBeth, S Jiang
  • Comparison of Reference Dosimetry Protocols for Small Radiosurgery Fields. Z Iqbal*, T Chiu, D Parsons, A Godley, X Gu, S Stojadinovic
  • BolusVisionOnline: 3D Soft Bolus Printing Utilizing Eclipse Scripting API (ESAPI). J Tan*, T Chiu, S Jiang
  • Investigating Stability and Reproducibility of Deep Inspiration Breath Hold for Liver Stereotactic Body Radiotherapy. D Parsons*, Z Iqbal, N N Sanford, R Reynolds, S Stojadinovic, T A Aguilera, T Chiu, W Lu, M R Folkert, X Gu
  • A Fast Monte Carlo-Based Dose Calculation Platform for Pre-Clinical Radiobiology Experiments Using An X-Ray Irradiator. H Liu*, Y Zhong, X Jia
  • RT PACS Is Becoming An Indispensable Information System for Clinical Practice and Research in Radiation Oncology. Y Yan*, W Lu, J Wu, M Lin, X Gu, S Jiang
  • CNC-Laser Assisted Automated Electron Cutout Fabrication with 3D Print-Based Quality Assurance and Computer Vision - Proffered Submission. T Chiu1*, D Shrestha1, Z Xiong1, H Wang2, M Lin1, Y Park1, A Godley1, R Reynolds1
  • Scripting API-Based Frame Coordinate Calculator for Stereotactic Body Radiotherapy (General ePoster) - Proffered Submission. Y Park1*, Z Iqbal1, A Pompos1
  • Simultaneous Image Reconstruction and Material Decomposition Using Multi-Energy Cone Beam CT On a Preclinical Irradiation Platform. Y Zhong*, C Shen, Y Huang, X Jia

*Denotes first author.