TU‐FG‐BRB‐04: A New Optimization Method for Pre‐Treatment Patient‐Specific Stopping‐Power by Combining Proton Radiography and X‐Ray CT (English)
- New search for: Collins‐Fekete, C
- New search for: Schulte, R
- New search for: Beaulieu, L
- New search for: Seco, J
- New search for: Collins‐Fekete, C
- New search for: Schulte, R
- New search for: Beaulieu, L
- New search for: Seco, J
In:
Medical Physics
;
43
, 6Part35
;
3756-3757
;
2016
- Article (Journal) / Electronic Resource
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Title:TU‐FG‐BRB‐04: A New Optimization Method for Pre‐Treatment Patient‐Specific Stopping‐Power by Combining Proton Radiography and X‐Ray CT
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Contributors:
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Published in:Medical Physics ; 43, 6Part35 ; 3756-3757
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Publisher:
- New search for: American Association of Physicists in Medicine
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Publication date:2016-06-01
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Size:2 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 43, Issue 6Part35
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 3752
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TU‐FG‐201‐01: 18‐Month Clinical Experience of a Linac Daily Quality Assurance (QA) Solution Using Only EPID and OBICai, B / Sun, B / Yaddanapudi, S / Goddu, S / Li, H / Caruthers, D / Kavanaugh, J / Mutic, S et al. | 2016
- 3753
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TU‐FG‐201‐03: Automatic Pre‐Delivery Verification Using Statistical Analysis of Consistencies in Treatment Plan Parameters by the Treatment Site and ModalityLiu, S / Wu, Y / Chang, X / Li, H / Yang, D et al. | 2016
- 3753
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TU‐FG‐201‐02: Is Weekly MLC QA Necessary? Two Year EPID‐Based Weekly MLC QA Experience at the University of MarylandKalavagunta, C / Yang, X / Xu, H / Zhang, B / Mossahebi, S / Sawant, A / Yi, B et al. | 2016
- 3753
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TU‐FG‐201‐05: Varian MPC as a Statistical Process Control ToolCarver, A / Rowbottom, C et al. | 2016
- 3753
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TU‐FG‐201‐04: Computer Vision in Autonomous Quality Assurance of Linear AcceleratorsYu, H / Jenkins, C / Yu, S / Yang, Y / Xing, L et al. | 2016
- 3754
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TU‐FG‐201‐08: Investigation of Systematic Low RPC Calibration Result for TomotherapyChen, Q et al. | 2016
- 3754
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TU‐FG‐201‐06: Remote Dosimetric Auditing for Clinical Trials Using EPID Dosimetry: A Pilot StudyMiri, N / Lehmann, J / Vial, P / Legge, K / Greer, P et al. | 2016
- 3754
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TU‐FG‐201‐09: Predicting Accelerator DysfunctionAble, C / Nguyen, C / Baydush, A / Gersh, J / Ndlovu, A / Rebo, I / Booth, J / Perez, M / Sintay, B / Munley, M et al. | 2016
- 3754
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TU‐FG‐201‐07: Development of SRS Conical Collimator Collision Prediction Software for Radiation Treatment SafetyGutti, V / Morrow, A / Kim, S / Patel, M et al. | 2016
- 3755
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TU‐FG‐BRC‐04: Opportunities for Medical Physics Contributions to Radiation ImmunotherapyOldham, M. et al. | 2016
- 3755
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TU‐FG‐201‐10: Quality Management of Accelerated Partial Breast Irradiation (APBI) PlansJi, H / Lorio, V / Cernica, G / Han, J / Nurhussien, M / Nasr, N / Hong, R et al. | 2016
- 3755
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TU‐FG‐201‐12: Designing a Risk‐Based Quality Assurance Program for a Newly Implemented Y‐90 Microspheres ProcedureVile, D / Zhang, L / Cuttino, L / Kim, S / Palta, J et al. | 2016
- 3755
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TU‐FG‐BRC‐00: Radiation and Immunotherapy: How to Ignite Long Term Anti‐Cancer ResponseOldham, Mark et al. | 2016
- 3755
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TU‐FG‐BRC‐01: Cancer and the Immune System: The Basics!Repasky, E. et al. | 2016
- 3755
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TU‐FG‐BRC‐02: Radiation Therapy to Ignite An Anti‐Cancer Immune ResponseFormenti, S. et al. | 2016
- 3755
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TU‐FG‐BRC‐03: Current Clinical Trials Using Radiation and Immunomodulatory AgentsColeman, N. et al. | 2016
- 3755
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TU‐FG‐201‐11: Evaluating the Validity of Prospective Risk Analysis Methods: A Comparison of Traditional FMEA and Modified Healthcare FMEALah, J / Manger, R / Kim, G et al. | 2016
- 3756
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TU‐FG‐BRB‐01: Dual Energy CT Proton Stopping Power Ratio Calibration and Validation with Animal TissuesXie, Y / Yin, L / Ainsley, C / McDonough, J / Solberg, T / Lin, A / Teo, B et al. | 2016
- 3756
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TU‐FG‐BRB‐03: Basis Vector Model Based Method for Proton Stopping Power Estimation From Experimental Dual Energy CT DataZhang, S / Han, D / Politte, D / Porras‐Chaverri, M / Whiting, B / Williamson, J / O'Sullivan, J et al. | 2016
- 3756
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TU‐FG‐BRB‐02: The Impact of Using Dual‐Energy CT for Determining Proton Stopping Powers: Comparison Between Theory and ExperimentsBaer, E / Jee, K / Zhang, R / Lalonde, A / Yang, K / Sharp, G / Royle, G / Liu, B / Bouchard, H / Lu, H et al. | 2016
- 3756
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TU‐FG‐BRB‐04: A New Optimization Method for Pre‐Treatment Patient‐Specific Stopping‐Power by Combining Proton Radiography and X‐Ray CTCollins‐Fekete, C / Schulte, R / Beaulieu, L / Seco, J et al. | 2016
- 3757
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TU‐FG‐BRB‐06: A Prompt Gamma‐Ray Spectroscopy System for Clinical Studies of in Vivo Proton Range VerificationVerburg, J / Bortfeld, T et al. | 2016
- 3757
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TU‐FG‐BRB‐08: Challenges, Limitations and Future Outlook Towards Clinical Translation of Proton Acoustic Range VerificationYousefi, S / Ahmad, M / Xiang, L / Tang, S / Chen, Y / Zhang, M / Zou, J / Umegaki, K / Shirato, H / Xing, L et al. | 2016
- 3757
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TU‐FG‐BRB‐05: A 3 Dimensional Prompt Gamma Imaging System for Range Verification in Proton RadiotherapyDraeger, E / Chen, H / Mackin, D / Peterson, S / Avery, S / Beddar, S / Polf, J et al. | 2016
- 3757
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TU‐FG‐BRB‐07: GPU‐Based Prompt Gamma Ray Imaging From Boron Neutron Capture TherapyKim, S / Suh, T / Yoon, D / Jung, J / Shin, H / Kim, M et al. | 2016
- 3758
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TU‐FG‐BRB‐12: Real‐Time Visualization of Discrete Spot Scanning Proton Therapy Beam for Quality AssuranceMatsuzaki, Y / Jenkins, C / Yang, Y / Yoshimura, T / Fujii, Y / Umegaki, K / Xing, L et al. | 2016
- 3758
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TU‐FG‐BRB‐09: Thermoacoustic Range Verification with Perfect Co‐Registered Overlay of Bragg Peak onto Ultrasound ImagePatch, S / Kireeff Covo, M / Jackson, A / Qadadha, Y / Campbell, K / Albright, R / Bloemhard, P / Donoghue, A / Siero, C / Gimpel, T et al. | 2016
- 3758
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TU‐FG‐BRB‐10: A New Approach to Proton Radiography Using the Beamline X‐Ray Flat PanelZhang, R / Jee, K / Sharp, G / Flanz, J / Lu, H et al. | 2016
- 3758
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TU‐FG‐BRB‐11: Design and Evaluation of a Robotic C‐Arm CBCT System for Image‐Guided Proton TherapyHua, C / Yao, W / Kidani, T / Farr, J / Tomida, K / Ozawa, S / Nishimura, T / Fujusawa, T / Shinagawa, R / Merchant, T et al. | 2016
- 3759
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TU‐FG‐207A‐03: Overview of CT Reconstruction and Denoising StrategiesPelc, N. et al. | 2016
- 3759
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TU‐FG‐207A‐04: Overview of the Low Dose CT Grand ChallengeMcCollough, C. et al. | 2016
- 3759
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TU‐FG‐BRA‐02: Assure the Quality of Treatment Planning When Time Is ConstrainedChang, J. et al. | 2016
- 3759
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TU‐FG‐207A‐01: Introduction to Grand ChallengesGiger, M. et al. | 2016
- 3759
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TU‐FG‐BRA‐00: Optimizing the Treatment Planning ProcessFeng, Wenzheng et al. | 2016
- 3759
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TU‐FG‐207A‐00: Grand Challenges in Medical Imaging and RadiomicsMcCollough, Cynthia / Armato, Samuel et al. | 2016
- 3759
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TU‐FG‐BRA‐01: Treatment Planning Process Management and Optimization in Clinical EnvironmentalFeng, W. et al. | 2016
- 3759
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TU‐FG‐BRA‐03: Systems Engineering and Treatment Planning Process Control in Radiation MedicineKapur, A. et al. | 2016
- 3759
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TU‐FG‐202‐02: Modern Intracavitary GYN BrachytherapyDamato, A. et al. | 2016
- 3759
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TU‐FG‐202‐00: Advances and Innovations in Image Guided BrachytherapyCormack, Robert et al. | 2016
- 3759
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TU‐FG‐202‐01: Modern Intracavitary GYN BrachytherapyCraciunescu, O. et al. | 2016
- 3759
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TU‐FG‐207A‐02: LungX ‐ Lessons Learned and Key ResultsArmato, S. et al. | 2016
- 3759
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TU‐FG‐202‐03: Recent Technology Innovations in Prostate BrachytherapyCunha, J. et al. | 2016
- 3760
-
TU‐FG‐206‐00: Imaging InformaticsNagy, Paul et al. | 2016
- 3760
-
TU‐FG‐206‐02: Medical Physics Imaging Informatics in the Classroom and in PracticeSensakovic, W. et al. | 2016
- 3760
-
TU‐FG‐206‐03: Imaging Informatics for the Medical PhysicistNagy, P. et al. | 2016
- 3760
-
TU‐FG‐209‐02: Effective Elimination of Aliased Signal Using An Apodized Aperture Pixel DesignShankar, A / Russ, M / Vijayan, S / Bednarek, D / Rudin, S et al. | 2016
- 3760
-
TU‐FG‐207A‐05: Winners 1, 2, & 3 and Q/AMcCollough, C. et al. | 2016
- 3760
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TU‐FG‐206‐01: Standards Support for Color in Medical ImagingFlynn, M. et al. | 2016
- 3760
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TU‐FG‐209‐01: A Model of Noise Anisotropy in Amorphous Selenium Digital DetectorsAcciavatti, R / Maidment, A et al. | 2016
- 3761
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TU‐FG‐209‐03: Exploring the Maximum Count Rate Capabilities of Photon Counting Arrays Based On Polycrystalline SiliconLiang, A K / Koniczek, M / Antonuk, L E / El‐Mohri, Y / Zhao, Q et al. | 2016
- 3761
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TU‐FG‐209‐04: Testing of Digital Image Receptors Using AAPM TG‐150's Draft Recommendations ‐ Investigating the Impact of Different Processing ParametersFinley, C / Dave, J et al. | 2016
- 3761
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TU‐FG‐209‐06: Quantitative Evaluation of the Temporal Performance of Clinical Fluoroscopic Imaging Systems: The Temporal Modulation Transfer Function (TMTF)Richards, T / Mann, S / Samei, E et al. | 2016
- 3761
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TU‐FG‐209‐05: Demonstration of the Line Focus Principle Using the Generalized Measured‐Relative Object Detectability (GM‐ROD) MetricRuss, M / Shankar, A / Lau, A / Bednarek, D / Rudin, S et al. | 2016
- 3762
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TU‐FG‐209‐08: Distribution of the Deviation Index (DI) in Digital Radiography Practices Across the United StatesJones, A / Dave, J / Fisher, R / Hulme, K / Rill, L / Zamora, D / Woodward, A / Brady, S / MacDougall, R / Goldman, L et al. | 2016
- 3762
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TU‐FG‐209‐09: Mathematical Estimation and Experimental Measurement of Patient Free‐In‐Air Skin Entrance Exposure During a Panoramic Dental X‐Ray ProcedureErrico, A / Behrman, R / Li, B et al. | 2016
- 3762
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TU‐FG‐209‐10: Phantom Simulation Method to Evaluate the Clinical Utility of the High‐Resolution Micro‐Angiographic Fluoroscope Complementary Metal Oxide Semiconductor (MAF‐CMOS) DetectorSetlur Nagesh, S / Russ, M / Ionita, C / Bednarek, D / Rudin, S et al. | 2016
- 3762
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TU‐FG‐209‐07: Medical Physics 1.0 Versus Medical Physics 2.0: A Case StudyCarver, D / Willis, C / Stauduhar, P / Nishino, T / Wells, J / Samei, E et al. | 2016
- 3763
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TU‐FG‐209‐12: Treatment Site and View Recognition in X‐Ray Images with Hierarchical Multiclass Recognition ModelsChang, X / Mazur, T / Yang, D et al. | 2016
- 3763
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TU‐FG‐209‐11: Validation of a Channelized Hotelling Observer to Optimize Chest Radiography Image Processing for Nodule Detection: A Human Observer StudySanchez, A / Little, K / Chung, J / Lu, ZF / MacMahon, H / Reiser, I et al. | 2016