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1. Comp Analysis vs. Sales Comparison Analysis


2. RPR Mobile App - Comps Analysis Express


3. TouchDesigner Workshop Reel

TouchDesigner Workshop Reel

Showreel of TouchDesigner workshop by Licht Pfad Level: Basic / Intermediate. Duration: 6 days x 4 hours. Advanced workshop is planned as next. If you have an interest of organizing workhop in your city, message us. Its also possible to combine it with Sidefx Houdini workshop Program: Day 01 Basics of interface Data Types Basic setup and render output to projectors / screens Working with geometry Integration with Houdini Day 02 Advanced control of video playback CHOP and working with live data. Working with events. Key animation. (Animation Comp) Working with tabular data and scripting Basics of character setup. Day 03 Compositing and work with textures Shading - minimalism Shading - Photorealism Shading - the basics of GLSL shading Day 04 Sound analysis Synchronization TD with Ableton Live Integration with Resolume Approaches to create the audio reactive graphics Day 05 Creating an user interface Working with arrays of data. Generation of nodes Cloning and creation of external operators (tox) Optimization of the patch and performance. Day 06 Approaches to video mapping. Working with Kinect. Technology of chromakeying. Generation of geometry based on the depth map. Working with skeleton. Overview of input and output data - the connection of various devices (Midi controllers, DMX, Arduino, etc.)


4. Isometry

  • Published: 2014-02-06T18:04:23+00:00
  • Duration: 178
  • By Sasha Balazh
Isometry

Coursework represents the Isometric Projection, its properties and its use in various spheres (engineering, pixel art, game graphics, motion and graphic design). The work consists of several parts: - The research - Analysis of the logo (City of Melbourne) - Creating a Logo based on Isometric modular grid ("Wrecker" - demolition and dismantling of buildings) - Creating a free-form Logo ("ZeaLine" - center of psychological assistance) Images used: "Poverty is Modern" by eBoy "Época SP – O Melhor de São Paulo 2010" by Marcus Penna Footage used: https://vimeo.com/11375173 Rhythm Heaven comp spot by Kyle Downes https://vimeo.com/38968971 Urban Migration in China - Infographic Animation by Vertigo Motion Design https://vimeo.com/62151886 Meetformer by Roman Vyshivanov https://vimeo.com/70479606 Banca Parnet by Biografica Music: Jedi G – When All The Queens Are Silent 3rd course Animation and Computer graphics Shtiglitz Academy, St-Petersburg


5. An angular momentum conserving Affine-Particle-In-Cell method

An angular momentum conserving Affine-Particle-In-Cell method

An angular momentum conserving Affine-Particle-In-Cell method Chenfanfu Jiang, Craig Schroeder, Joseph Teran http://arxiv.org/abs/1603.06188 We present a new technique for transferring momentum and velocity between particles and grid with Particle-In-Cell (PIC) calculations which we call Affine-Particle-In-Cell (APIC). APIC represents particle velocities as locally affine, rather than locally constant as in traditional PIC. We show that this representation allows APIC to conserve linear and angular momentum across transfers while also dramatically reducing numerical diffusion usually associated with PIC. Notably, conservation is achieved with lumped mass, as opposed to the more commonly used Fluid Implicit Particle (FLIP) transfers which require a 'full' mass matrix for exact conservation. Furthermore, unlike FLIP, APIC retains a filtering property of the original PIC and thus does not accumulate velocity modes on particles as FLIP does. In particular, we demonstrate that APIC does not experience velocity instabilities that are characteristic of FLIP in a number of Material Point Method (MPM) hyperelasticity calculations. Lastly, we demonstrate that when combined with the midpoint rule for implicit update of grid momentum that linear and angular momentum are exactly conserved. Comments: 26 pages, 9 figures Subjects: Computational Physics (physics.comp-ph); Numerical Analysis (math.NA) Cite as: arXiv:1603.06188 [physics.comp-ph]


6. BOULDERING TEST MATCH

BOULDERING TEST MATCH

bouldering comp simulation, preparing Italian cup and european championship; post performance analysis and self analysis; coaches Roberto Bagnoli and Marco Erspamer.


7. Comp Grid Overview

  • Published: 2011-07-07T13:22:36+00:00
  • Duration: 259
  • By IREM Education
Comp Grid Overview

An overview of the Comp Grid tab of the IREM Financial Analysis Spreadsheet.


8. Data Workflows for Machine Learning

Data Workflows for Machine Learning

Speaker: Paco Nathan Abstract: We compare/contrast several open source frameworks which have emerged for Machine Learning workflows, including KNIME, IPython Notebook and related Py libraries, Cascading, Cascalog, Scalding, Summingbird, Spark/MLbase, MBrace on .NET, etc. The analysis develops several points for "best of breed" and what features would be great to see across the board for many frameworks... leading up to a "scorecard" to help evaluate different alternatives. We also review the PMML standard for migrating predictive models, e.g., from SAS to Hadoop. Speaker bio: Paco Nathan, is a “player/coach” who's led innovative Data teams building large-scale apps for 10+ years, and worked as an OSS evangelist for the past 2+ years. Expert in distributed systems, machine learning, cloud computing, functional programming -- with a focus on Enterprise data workflows. Paco is an O'Reilly author, and an advisor for several firms including The Data Guild andZettacap. Paco received his BS Math Sci and MS Comp Sci degrees from Stanford University, and has 30+ years technology industry experience ranging from Bell Labs to early-stage start-ups. Acknowledgments Special thanks to The Climate Corporation for hosting the event, and Tommy Chheng for recording.


9. Multifamily Comp Grid Demo

  • Published: 2011-07-07T13:31:57+00:00
  • Duration: 421
  • By IREM Education
Multifamily Comp Grid Demo

Learn how to use the Comp Grid tab of the IREM Financial Analysis Spreadsheet for multifamily properties.


10. TSA Satire

  • Published: 2017-02-03T01:29:56+00:00
  • Duration: 465
  • By Frances Owen
TSA Satire

Victoria Kremer & Frances Owen AP Lang & Comp Process Analysis Project 2017 Please note: Soundtrack is the Indiana Jones Theme by John Williams.


11. Demo Reel 2014

  • Published: 2014-01-15T03:23:15+00:00
  • Duration: 174
  • By Jeff Budsberg
Demo Reel 2014

Resume: http://goo.gl/JPkFeX Demo Reel Breakdown: http://goo.gl/liAONW 1. Pyroclastic Flow * Simulation, lighting, and compositing of all FX. DreamWorks (DWA) gas & Bullet solvers, Houdini POPs, Mantra, Nuke. * Outstanding FX and Simulation in an Animated Feature Motion Picture. VES Awards (nomination), 2014. * Outstanding Achievement, FX in an Animated Production. Annie Awards (won) 2014. 2. Water * Shot 1: FX Lead. Shots 2 & 3: Simulation & compositing of all FX, lighting of volumetrics. Naiad, Houdini, OpenVDB level set operations/meshing, DWA gas & shallow-water solvers, render time displacement, Mantra, Nuke. FX Lead. * Liquids in ‘The Croods’. ACM DigiPro Short Paper, 2013. 3. Fire & Embers * Simulation, lighting, and compositing of all FX. Choreographed 1300+ frame shot with ~100 hand-animated embers, Maya Particles, Fluids, burn maps, DWA filament gas solver, PBGI & art-directed point lights, DWA REYES & volume renderers, Nuke. FX Lead. * Developed studio-wide Nuke gizmos: fire glow, adding light flicker in post. Many others, including channel lighting, color lookup, contact sheet, and default FX element gizmo. 4. World ripping apart * Simulation, lighting, and compositing of all FX tearing elements. Houdini geometry preparation, POPs, SOP solvers, COPs, Maya Particles, complex shaders, DWA REYES renderer, Mantra, Nuke. FX Lead. * Outstanding FX in an Animated Feature Motion Picture. VES Awards (nomination), 2011. 5. River development * Simulation of all FX. Houdini FLIP (customized), POPs, SOP solvers, OpenVDB meshing, simulation analysis tools (per spawning secondary elements), collaborated with R+D to guide level set toolset development, wrote simulation profiling tool (Python). 6. Hourglass * Simulation, lighting, and compositing of FX hourglass and glass. +60 shots, ~10 hero, automated setup with MEL/Python. Maya Particles, Fluids, NCloth. DWA REYES-based and Particle renderers. Wrote tools to perform glass lighting and refraction interactively in the comp. FX Lead. 7. Dust wall * Simulation, lighting, and compositing of all FX. DWA gas solver, Houdini POPs, Mantra, Nuke. Built systems for artists to quickly execute 40+ full-screen volumes shots: large library of simulations, tools for placement & instancing, re-simulating & deforming existing volumes, art-directable shaders & lighting. FX Lead. 8. Volume tools * Developed numerous OpenVDB tools & SOPs (HDK, C++) for cloud explosion sequence. These include instancing, point sampling, simulation retiming, geometric volume deformers. FX Lead. * OpenVDB: An Open-Source Data Structure and Toolkit for High-Resolution Volumes. SIGGRAPH Course, 2013. 9. Debris tool * Wrote tool to facilitate seamless handoff from Maya Particles (or hand-animated debris) to DWA’s Bullet solver (MEL, Python). Alleviates RBD setup time & asset management; utilized in multiple departments (including set dressing). * Shot 2: Simulation of all FX. Lighting, and compositing of volume & particle elements. Maya Particles, Fluids, debris tool, hand-animation, Mantra, Nuke. 10. Plant deformation * Simulation of all FX. Soft-body dynamics rig art-directed by various methods: Maya fields, bend deformers, or hand animated; automated setup with MEL/Python. Wrote tool for easily selecting and promoting instanced assets to hero. 11. Flower field * Spearheaded workflow and developed multi-department flower field (shaders, C++). Density & height maps drive fur placement; each fur drives deformer that grabs a random asset in the correct height range. Render time wind, plant dynamics via curve deformation, debris tool for flower petals/grass, easy LOD control for Lighting. FX Lead. 12. Destruction geometry generator * Geometry procedural for rendering Houdini Bullet data in the DWA REYES renderer (C++) and Houdini exporter (Python). Multiple orders of magnitude disk savings over studio’s previous RBD caching/rendering technique. 13. Bonsai foliage modeling software and supporting pipeline * Developed DWA’s next generation procedural foliage tools/libraries/pipeline (C++, Python, PyQT, MEL, Maya API, HDK). Clients include Maya/Houdini authoring tools & visualization, asset configuration/installation, and geometry generators & deformation across multiple renderers. * Technical Achievement Award. DreamWorks Animation, 2012. * Beyond procedurally modeled foliage in ‘Madagascar: Escape 2 Africa’. SIGGRAPH Talk, August 2008. 14. Wind deformer * Wrote divergence-free noise procedural and interactive flow field visualizer (C++). Facilitated artists to quickly art-direct wind in foliage, fur, hair, etc. 15. Foliage level of detail * Built LOD system for foliage & crowds yielded +10X render time savings for Lighting (C++, Python, Shaders). Replaces high-resolution asset with camera-tracking card with pre-computed renders per viewing angle. Performs light-tracking for accurate shadows.


12. Saturday Night Football

Saturday Night Football

Sky Sports kick off biggest Premier League season. Title sequence for Sky Sports brand new programme 'Saturday Night Football'. A brand new show for Sky's 5.30pm Saturday evening Premier League fixture. David Jones and Jamie Redknapp will present analysis of the match from a stunning new studio and debate all the talking points with an audience of football fans. Through a combination of live action, studio shoots and Softimage ICE crowd replication, we were able to quickly populate the Trophy stadium. A setup was built in Nuke that allowed us to quickly change the footage of the Jumbo Screens, which then re-lit the stadium. This was extremely useful as a number of hero shots had to be changed due to the pre-season transfer window. // Comp


13. Nail Your Next Listing Presentations With RPR Mobile™

Nail Your Next Listing Presentations With RPR Mobile™

Learn how to become a subject matter expert on a seller’s property, how to generate client-friendly reports, interpret market activity charts, and even run a comp analysis, all using your device. And your homeowners will definitely be sold by your savviness when you instantly pull up your phone to text or email them a report or show them what other homes in the area are worth.


14. Central American refugees flee violence

Central American refugees flee violence

Migration from the Northern Triangle of Central America — El Salvador, Guatemala and Honduras — has risen steadily as violence has increased. Mary Small of Jesuit Refugee Service/USA and Shaina Aber of the United States Jesuit Conference explain what is driving people to flee for their lives. Learn more at http://www.jrsusa.org Youth gang violence has intensified in the last decade, and as drug trafficking routes have shifted to Central America, violence associated with the drug trade has risen as well. Honduras has the highest homicide rate in world; from 2005-2012, murders of women and girls have increased 346% while murders of men and boys are up 292%. In all three countries, rates of impunity are over 90%. Child advocates, especially from Honduras and El Salvador, report accounts of children and teenagers subject to assaults and intimidation from gangs, and of children being forcibly recruited by gangs who have "join or die" polices. In a survey conducted by UNHCR of 404 Central American children detained at the border in 2013, UNHCR found that 58% of the children might be in need of international protection. Information cited in the video comes from: Acre, Alberto. "Acusan a Policía De Honduras De Operar Escuadrones De La Muerte." El Heraldo. Publicaciones Y Noticias S.A. (PUBLYNSA.), 17 Mar. 2013. Web. 01 Aug. 2014. http://bit.ly/1rWU6j5 Avalos, Jessica, and Suchit Chavez. "The Northern Triangle: The Countries That Don't Cry for Their Dead." InSight Crime: Organized Crime in the Americas. Fundación InSight Crime, 23 Apr. 2014. Web. 01 Aug. 2014. http://bit.ly/1u7ik8g Cantor, David. "The New Wave: Forced Displacement Caused by Organized Crime in Central America and Mexico." Refugee Survey Quarterly 33.2 (2014): n. pag. Oxford Journals. Web. 1 Aug. 2014. http://bit.ly/1nZiNK5 Centro De Derechos De Mujeres. "Status of Violence against Women in Honduras." Americas Program. Center for International Policy, July 2014. Web. 01 Aug. 2014. http://bit.ly/Wex49W El Heraldo. "Repudio E Indignación Por Crimen De Sicarios En Capital De Honduras." El Heraldo. Publicaciones Y Noticias S.A. (PUBLYNSA.),, 7 Feb. 2013. Web. 1 Aug. 2014. http://bit.ly/1zDXd0j Kennedy, Elizabeth. "No Childhood Here: Why Central American Children Are Fleeing Their Homes." Immigration Policy Center. American Immigration Council, 1 July 014. Web. 05 Aug. 2014. http://bit.ly/1pHC3Nz Malkin, Elisabeth. "Honduran President Ousted in Coup." The New York Times. The New York Times, 28 June 2009. Web. 01 Aug. 2014. http://nyti.ms/1m5HGy4 Mejia, Thelma. "Military Given Full Powers to Fight Crime in Honduras."Inter Press Service News Agency. Inter Press Service, 4 Sept. 2013. Web. 01 Aug. 2014. http://bit.ly/1AHV3yj Torres, Carolina. ""LAS CIFRAS DE HOMICIDIOS NO DEBEN MANIPULARSE": SOCIÃLOGA LETICIA SALOMÃN." Presencia Universitaria: El Periódico De La Reforma. Universidad Nacional Autonoma De Honduras, 17 Mar. 2014. Web. 01 Aug. 2014. http://bit.ly/1pMz3tq Trucchi, Giorgio. "Honduras Is Combating Its Homicide Epidemic With Militarization." VICE News. VICE, 16 Apr. 2014. Web. 01 Aug. 2014. http://bit.ly/1oWcxSq United Nations. United Nations Office on Drugs and Crime. Cocaine from South America to the United States. United Nations, n.d. Web. http://bit.ly/1qVrQxz United Nations. United Nations Office on Drugs and Crime. Research and Trend Analysis Branch. Global Study on Homicide 2013. Ed. Jonathan Gibbons. United Nations, 10 Apr. 2014. Web. 1 Aug. 2014. unodc.org/gsh/en/index.html Yagenova, Simona V., comp. La Violencia Contra La Mujeres-El Caso De Guatemala, El Salvador, Honduras, Y Nicaragua. Rep. Observatorio De Seguridad Ciudadana De Las Mujeres, 2013. Web. 1 Aug. 2014. http://bit.ly/1nSIafs


15. Quality Management Systems in Radiotherapy: Making Treatments Safer

  • Published: 2014-02-24T20:52:56+00:00
  • Duration: 2561
  • By AAPM
Quality Management Systems in Radiotherapy: Making Treatments Safer

2011 Joint AAPM/COMP Meeting Dr. Eric C. Ford, PhD For more information about the American Association of Physicists in Medicine, visit http://www.aapm.org/ Abstract ID: 17215 Title: Quality Management Systems in Radiotherapy: Making Treatments Safer Though all medical physicists appreciate the need for safe high-quality radiation treatments, most have no formal training in quality management or error proofing. This educational course will explore two quality improvement tools that are considered standard in other industries: incident learning and prospective hazard analysis. The focus will be on practical methods that can be employed across a variety of clinics. With slight variations, these same tools can also be applied to the diagnostic setting. In other areas of medicine the systematic use of such tools has brought about measureable improvements in patient safety and treatment quality, and it is expected that radiation oncology can benefit in a similar fashion. The learning objectives of this educational SAMS course are: understand the benefit of incident learning and the pitfalls associated with it, understand the principles of how to construct an effective incident reporting system, understand the tools available for prospective hazard analysis and how to streamline their use.


16. Quantitative Ultrasound Imaging: A Historical Persective

  • Published: 2013-10-04T16:19:35+00:00
  • Duration: 1285
  • By AAPM
Quantitative Ultrasound Imaging: A Historical Persective

2011 Joint AAPM/COMP Meeting Dr. Timothy J. Hall, PhD, University of Wisconsin, Madison, WI, 53705, United States For more information about the American Association of Physicists in Medicine, visit http://www.aapm.org/ Quantitative ultrasound (QUS) analysis attempts to gain further understanding of tissue pathology through analysis of the underlying echo signals. QUS is effectively as old as medical ultrasound imaging. A notable example is the initial application of ultrasound to breast tissue. The developers concurrently attempted to differentiate between benign and malignant tissues through an analysis of the echo signals they saw. There have been a many “successes” and a few “failures” during QUS development, but there has been a great deal of progress in QUS methods. Although Lord Rayleigh described the basics of acoustics in the late 1800’s, tissue classification with QUS requires a more detailed analysis of wave propagation in tissue. Modern methods more accurately model the interaction of an acoustic wave propagating in inhomogeneous media (like tissue) and more use more sophisticated models of tissue. We (the UW-Madison Ultrasound Group) and our collaborators (at the University of Illinois, University of Iowa, Intrermountain Healthcare, Duke, Boston University, and Rensselaer Polytechnic Institute), as well as many others around the world, are actively developing QUS methods. The goals of this presentation are to provide a description of some of the key underlying physical principles involved in QUS, some of the key successes and notable failures. From this, it is clear that a rigorous understanding of both the underlying physical principles and basic biology are necessary for maximizing the potential of QUS techniques. Further, the motivation for system-independent QUS parameter descriptions of tissue will be presented. The prospects for the future development and application of QUS methods are very encouraging. Current clinical ultrasound systems provide higher center frequency, broader bandwidth, and lower noise echo signals, and these lead to improved QUS accuracy and precision. Some of those developments will also be highlighted. Learning Objectives: 1) Understand the basic concept of quantitative ultrasound (QUS) analysis 2) Understand the range of QUS parameters that describe tissue properties 3) Understand the desire for system-independent QUS 4) Begin to appreciate the prospects for clinical application of QUS


17. Patient Safety and Treatment Quality Improvement

  • Published: 2014-02-24T20:53:20+00:00
  • Duration: 3246
  • By AAPM
Patient Safety and Treatment Quality Improvement

2011 Joint AAPM/COMP Meeting Dr. Sasa Mutic, MS For more information about the American Association of Physicists in Medicine, visit http://www.aapm.org/ Abstract ID: 17215 Title: Quality Management Systems in Radiotherapy: Making Treatments Safer Though all medical physicists appreciate the need for safe high-quality radiation treatments, most have no formal training in quality management or error proofing. This educational course will explore two quality improvement tools that are considered standard in other industries: incident learning and prospective hazard analysis. The focus will be on practical methods that can be employed across a variety of clinics. With slight variations, these same tools can also be applied to the diagnostic setting. In other areas of medicine the systematic use of such tools has brought about measureable improvements in patient safety and treatment quality, and it is expected that radiation oncology can benefit in a similar fashion. The learning objectives of this educational SAMS course are: understand the benefit of incident learning and the pitfalls associated with it, understand the principles of how to construct an effective incident reporting system, understand the tools available for prospective hazard analysis and how to streamline their use.


18. Low Dose Rate Prostate Brachytherapy Quality Assurance and Treatment Evaluation

  • Published: 2013-10-09T19:59:52+00:00
  • Duration: 3725
  • By AAPM
Low Dose Rate Prostate Brachytherapy Quality Assurance and Treatment Evaluation

2011 Joint AAPM/COMP Meeting Dr. Wayne M. Butler, PhD, Wheeling Hospital, Wheeling, WV, 26003-6300, United States For more information about the American Association of Physicists in Medicine, visit http://www.aapm.org/ Most medical events in prostate seed brachytherapy may be attributed to physician or physicist error, but human failures resulting in patient harm often can be attributed to inadequate mechanisms to prevent failures from propagating to the patient. Quality assurance (QA) of permanent seed brachytherapy is particularly important because this modality, unique to radiotherapy, leaves a permanent record of the implant quality within the patient. This symposium aims to review the properties of permanent LDR brachytherapy that have made it so successful and the challenges that have prevented the full realization of its theoretical advantages. The temporal interplay between radioactive decay, resolution rate of procedure-induced edema, and cellular processes will be discussed along with their effect on the design and evaluation of LDR prostate brachytherapy. Recent recommendations of AAPM TG-137 on prostate brachytherapy treatment planning and dose reporting will be reviewed. An analysis of actual medical events and typical errors, for example seed strength in the plan versus the strength ordered versus the strength implanted, will help focus on critical components of the process map. A methodology to score failure modes and effects via the product of Likelihood x Severity x Undetectability will allow users to score procedural steps dynamically. Quality control steps such as second checks or calibrations will be seen as vital in keeping the scores below a level of concern. Finally, the physicist has a responsibility to offer suggestions to improve dosimetry when systematic trends are evident and to identify and report errors. Learning objectives: 1. Discuss recent developments and insights in LDR prostate brachytherapy 2. Identify critical physics components and their impact on QA and treatment evaluation 3. Highlight factors that require special attention in the planning and execution of implants 4. Demonstrate implementation of QA practices in an LDR prostate brachytherapy program


19. Planning, QA, and the Role of Imaging of Localization for Head and Neck Treatments

  • Published: 2013-10-10T19:49:28+00:00
  • Duration: 1882
  • By AAPM
Planning, QA, and the Role of Imaging of Localization for Head and Neck Treatments

2011 Joint AAPM/COMP Meeting Dr. Yolanda I Garces, M.D., Department of Radiation Oncology, Rochester, MN, 55905, United States For more information about the American Association of Physicists in Medicine, visit http://www.aapm.org/ This educational session is designed to provide practical perspective on head and neck treatment planning and delivery. The panel will draw from their own and the shared experiences of the other panelists to provide a comprehensive discussions of the issues and decisions encountered daily as part of treating patients with head and neck cancer. Contouring, PTV and Organ at Risk Doses: a Physician’s perspective - How a physician approaches the question of a practical balance between doses to target and proximal normal tissues will be explored and implications of contouring approaches will be considered.  Use and implications of hand drawn PTV vs CTV + margin = PTV  Organs at risk  Dose trade-offs  Planning process: When is it good enough? Is the difference between plans clinically observable or art? What dose levels, that can be affected in planning, produce results that are observed in practice? Treatment Planning -Strategies in beam selection, contouring of dose sculpting structures and in setting of constraints to enable for driving IMRT opimizers to achieve the balance sought by the physician for targets treated at multiple concurrent dose levels will be discussed. Process flow and time to create plans will be discussed.  Dose Sculpting Structures  Beam selection (IMRT vs VMAT)  Optimization strategies Patient Positioning Options and Imaging Strategies – The ability of the treatment plan to accurately reflect delivered doses, is linked to the ability to reliably set up and verify the same patient position as in the original CT. A range of typical questions and practical approaches will be discussed.  Patient Positioning Options: Head cup + aquaplast ,vac-loc bag , alpha cradle based,bite block, etc.  Imaging o kV vs Conebeam o Image treatment fields or just setup fields? o How frequently should fields be imaged? o Decision tree for use of MV, kV, ConeBeam o Use of blended imaging tools for checking measured vs predicted DRR or ConeBeam? o When it doesn’t align, then what? IMRT QA – There area wide array of devices and measurements for QA of IMRT fields. This presentation will address issues encountered in designing practical approaches to demonstrate that the dose planned for a patient can be delivered with acceptable accuracy. The strengths and weaknesses of QA approaches will be discussed.  Measurement devices, strategies and basis for choice  Is gamma analysis alone sufficient? What else is used instead?


20. Planning, QA, and the Role of Imaging of Localization for Head and Neck Treatments

  • Published: 2013-10-10T19:43:18+00:00
  • Duration: 1570
  • By AAPM
Planning, QA, and the Role of Imaging of Localization for Head and Neck Treatments

2011 Joint AAPM/COMP Meeting Dr. Lei Dong, PhD, UT MD Anderson Cancer Center, Houston, TX, 77030, United States For more information about the American Association of Physicists in Medicine, visit http://www.aapm.org/ This educational session is designed to provide practical perspective on head and neck treatment planning and delivery. The panel will draw from their own and the shared experiences of the other panelists to provide a comprehensive discussions of the issues and decisions encountered daily as part of treating patients with head and neck cancer. Contouring, PTV and Organ at Risk Doses: a Physician’s perspective - How a physician approaches the question of a practical balance between doses to target and proximal normal tissues will be explored and implications of contouring approaches will be considered.  Use and implications of hand drawn PTV vs CTV + margin = PTV  Organs at risk  Dose trade-offs  Planning process: When is it good enough? Is the difference between plans clinically observable or art? What dose levels, that can be affected in planning, produce results that are observed in practice? Treatment Planning -Strategies in beam selection, contouring of dose sculpting structures and in setting of constraints to enable for driving IMRT opimizers to achieve the balance sought by the physician for targets treated at multiple concurrent dose levels will be discussed. Process flow and time to create plans will be discussed.  Dose Sculpting Structures  Beam selection (IMRT vs VMAT)  Optimization strategies Patient Positioning Options and Imaging Strategies – The ability of the treatment plan to accurately reflect delivered doses, is linked to the ability to reliably set up and verify the same patient position as in the original CT. A range of typical questions and practical approaches will be discussed.  Patient Positioning Options: Head cup + aquaplast ,vac-loc bag , alpha cradle based,bite block, etc.  Imaging o kV vs Conebeam o Image treatment fields or just setup fields? o How frequently should fields be imaged? o Decision tree for use of MV, kV, ConeBeam o Use of blended imaging tools for checking measured vs predicted DRR or ConeBeam? o When it doesn’t align, then what? IMRT QA – There area wide array of devices and measurements for QA of IMRT fields. This presentation will address issues encountered in designing practical approaches to demonstrate that the dose planned for a patient can be delivered with acceptable accuracy. The strengths and weaknesses of QA approaches will be discussed.  Measurement devices, strategies and basis for choice  Is gamma analysis alone sufficient? What else is used instead?