The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
Gabor Fichtinger - One of the best experts on this subject based on the ideXlab platform.
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SlicerRT – 3D Slicer based open-source toolkit for radiation Therapy Research
2013Co-Authors: Gabor FichtingerAbstract:Poster: "ECR 2013 / C-1635 / SlicerRT – 3D Slicer based open-source toolkit for radiation Therapy Research" by: "C. Pinter1, A. Lasso1, A. Wang2, D. Jaffray2, G. Fichtinger1; 1Kingston, ON/CA, 2Toronto, ON/CA"
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SlicerRT: radiation Therapy Research toolkit for 3D Slicer.
Medical physics, 2012Co-Authors: Csaba Pinter, Andras Lasso, An Wang, David A. Jaffray, Gabor FichtingerAbstract:Purpose: Interest in adaptive radiation Therapy Research is constantly growing, but software tools available for Researchers are mostly either expensive, closed proprietary applications, or free open-source packages with limited scope, extensibility, reliability, or user support. To address these limitations, we propose SlicerRT, a customizable, free, and open-source radiation Therapy Research toolkit. SlicerRT aspires to be an open-source toolkit for RT Research, providing fast computations, convenient workflows for Researchers, and a general image-guided Therapy infrastructure to assist clinical translation of experimental therapeutic approaches. It is a medium into which RT Researchers can integrate their methods and algorithms, and conduct comparative testing. Methods: SlicerRT was implemented as an extension for the widely used 3D Slicer medical imagevisualization and analysis application platform. SlicerRT provides functionality specifically designed for radiation Therapy Research, in addition to the powerful tools that 3D Slicer offers for visualization, registration, segmentation, and data management. The feature set of SlicerRT was defined through consensus discussions with a large pool of RT Researchers, including both radiation oncologists and medical physicists. The development processes used were similar to those of 3D Slicer to ensure software quality. Standardized mechanisms of 3D Slicer were applied for documentation, distribution, and user support. The testing and validation environment was configured to automatically launch a regression test upon each software change and to perform comparison with ground truth results provided by other RT applications. Results: Modules have been created for importing and loading DICOM-RT data, computing and displaying dose volume histograms, creating accumulated dose volumes, comparing dose volumes, and visualizing isodose lines and surfaces. The effectiveness of using 3D Slicer with the proposed SlicerRT extension for radiation Therapy Research was demonstrated on multiple use cases. Conclusions: A new open-source software toolkit has been developed for radiation Therapy Research. SlicerRT can import treatment plans from various sources into 3D Slicer for visualization, analysis, comparison, and processing. The provided algorithms are extensively tested and they are accessible through a convenient graphical user interface as well as a flexible application programming interface.
Csaba Pinter - One of the best experts on this subject based on the ideXlab platform.
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SlicerRT: radiation Therapy Research toolkit for 3D Slicer.
Medical physics, 2012Co-Authors: Csaba Pinter, Andras Lasso, An Wang, David A. Jaffray, Gabor FichtingerAbstract:Purpose: Interest in adaptive radiation Therapy Research is constantly growing, but software tools available for Researchers are mostly either expensive, closed proprietary applications, or free open-source packages with limited scope, extensibility, reliability, or user support. To address these limitations, we propose SlicerRT, a customizable, free, and open-source radiation Therapy Research toolkit. SlicerRT aspires to be an open-source toolkit for RT Research, providing fast computations, convenient workflows for Researchers, and a general image-guided Therapy infrastructure to assist clinical translation of experimental therapeutic approaches. It is a medium into which RT Researchers can integrate their methods and algorithms, and conduct comparative testing. Methods: SlicerRT was implemented as an extension for the widely used 3D Slicer medical imagevisualization and analysis application platform. SlicerRT provides functionality specifically designed for radiation Therapy Research, in addition to the powerful tools that 3D Slicer offers for visualization, registration, segmentation, and data management. The feature set of SlicerRT was defined through consensus discussions with a large pool of RT Researchers, including both radiation oncologists and medical physicists. The development processes used were similar to those of 3D Slicer to ensure software quality. Standardized mechanisms of 3D Slicer were applied for documentation, distribution, and user support. The testing and validation environment was configured to automatically launch a regression test upon each software change and to perform comparison with ground truth results provided by other RT applications. Results: Modules have been created for importing and loading DICOM-RT data, computing and displaying dose volume histograms, creating accumulated dose volumes, comparing dose volumes, and visualizing isodose lines and surfaces. The effectiveness of using 3D Slicer with the proposed SlicerRT extension for radiation Therapy Research was demonstrated on multiple use cases. Conclusions: A new open-source software toolkit has been developed for radiation Therapy Research. SlicerRT can import treatment plans from various sources into 3D Slicer for visualization, analysis, comparison, and processing. The provided algorithms are extensively tested and they are accessible through a convenient graphical user interface as well as a flexible application programming interface.
Yolande Lievens - One of the best experts on this subject based on the ideXlab platform.
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Radiation Therapy Research: A Global Analysis 2001-2015.
International journal of radiation oncology biology physics, 2018Co-Authors: Ajay Aggarwal, Grant Lewison, Danielle Rodin, Anthony L. Zietman, Richard Sullivan, Yolande LievensAbstract:Radiation Therapy is a core modality of cancer treatment; however, concerns have been expressed regarding its underutilization and its lack of prioritization as a Research domain relative to other cancer treatment modalities, despite its rapid technical evolution. It is therefore important to understand, from a public policy perspective, the evolution of global radiation Therapy Research, to identify strengths, weaknesses, and opportunities. This study used a bibliometric approach to undertake a quantitative analysis of global radiation Therapy Research published between 2001 and 2015 and available in the Web of Science (Wos) database, with particular focus on the 25 leading Research-active countries. A total of 62,550 radiation Therapy Research articles from 127 countries, published in 2531 international journals, were analyzed. The United States was responsible for 32.3% of these outputs, followed by Japan (8.0%) and Germany (7.7%). Nearly half of all publications related to preparation and delivery of radiation Therapy, combined-modality regimens, and dose fractionation studies. Health services Research, palliative care, and quality of life studies represented only 2%, 5%, and 4% of all Research outputs, respectively. Countries varied significantly in their commitment to different Research domains, and trial-related publications represented only 5.1% of total output. Research impact was analyzed according to 3 different citation scores, with Research outputs from Denmark, The Netherlands, and the United States consistently the highest ranked. Globally, radiation Therapy publication outputs continue to increase but lag behind other spheres of cancer management. The types of radiation Therapy Research undertaken appear to be regionally patterned, and there is a clear disconcordance between the volume of Research output from individual countries and its citation impact. Greater support for radiation Therapy Research in low- and middle-income countries is required, including international collaboration. The study findings are expected to provide the requisite knowledge to guide future radiation Therapy Research programs.
Andras Lasso - One of the best experts on this subject based on the ideXlab platform.
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SlicerRT: radiation Therapy Research toolkit for 3D Slicer.
Medical physics, 2012Co-Authors: Csaba Pinter, Andras Lasso, An Wang, David A. Jaffray, Gabor FichtingerAbstract:Purpose: Interest in adaptive radiation Therapy Research is constantly growing, but software tools available for Researchers are mostly either expensive, closed proprietary applications, or free open-source packages with limited scope, extensibility, reliability, or user support. To address these limitations, we propose SlicerRT, a customizable, free, and open-source radiation Therapy Research toolkit. SlicerRT aspires to be an open-source toolkit for RT Research, providing fast computations, convenient workflows for Researchers, and a general image-guided Therapy infrastructure to assist clinical translation of experimental therapeutic approaches. It is a medium into which RT Researchers can integrate their methods and algorithms, and conduct comparative testing. Methods: SlicerRT was implemented as an extension for the widely used 3D Slicer medical imagevisualization and analysis application platform. SlicerRT provides functionality specifically designed for radiation Therapy Research, in addition to the powerful tools that 3D Slicer offers for visualization, registration, segmentation, and data management. The feature set of SlicerRT was defined through consensus discussions with a large pool of RT Researchers, including both radiation oncologists and medical physicists. The development processes used were similar to those of 3D Slicer to ensure software quality. Standardized mechanisms of 3D Slicer were applied for documentation, distribution, and user support. The testing and validation environment was configured to automatically launch a regression test upon each software change and to perform comparison with ground truth results provided by other RT applications. Results: Modules have been created for importing and loading DICOM-RT data, computing and displaying dose volume histograms, creating accumulated dose volumes, comparing dose volumes, and visualizing isodose lines and surfaces. The effectiveness of using 3D Slicer with the proposed SlicerRT extension for radiation Therapy Research was demonstrated on multiple use cases. Conclusions: A new open-source software toolkit has been developed for radiation Therapy Research. SlicerRT can import treatment plans from various sources into 3D Slicer for visualization, analysis, comparison, and processing. The provided algorithms are extensively tested and they are accessible through a convenient graphical user interface as well as a flexible application programming interface.
David A. Jaffray - One of the best experts on this subject based on the ideXlab platform.
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SlicerRT: radiation Therapy Research toolkit for 3D Slicer.
Medical physics, 2012Co-Authors: Csaba Pinter, Andras Lasso, An Wang, David A. Jaffray, Gabor FichtingerAbstract:Purpose: Interest in adaptive radiation Therapy Research is constantly growing, but software tools available for Researchers are mostly either expensive, closed proprietary applications, or free open-source packages with limited scope, extensibility, reliability, or user support. To address these limitations, we propose SlicerRT, a customizable, free, and open-source radiation Therapy Research toolkit. SlicerRT aspires to be an open-source toolkit for RT Research, providing fast computations, convenient workflows for Researchers, and a general image-guided Therapy infrastructure to assist clinical translation of experimental therapeutic approaches. It is a medium into which RT Researchers can integrate their methods and algorithms, and conduct comparative testing. Methods: SlicerRT was implemented as an extension for the widely used 3D Slicer medical imagevisualization and analysis application platform. SlicerRT provides functionality specifically designed for radiation Therapy Research, in addition to the powerful tools that 3D Slicer offers for visualization, registration, segmentation, and data management. The feature set of SlicerRT was defined through consensus discussions with a large pool of RT Researchers, including both radiation oncologists and medical physicists. The development processes used were similar to those of 3D Slicer to ensure software quality. Standardized mechanisms of 3D Slicer were applied for documentation, distribution, and user support. The testing and validation environment was configured to automatically launch a regression test upon each software change and to perform comparison with ground truth results provided by other RT applications. Results: Modules have been created for importing and loading DICOM-RT data, computing and displaying dose volume histograms, creating accumulated dose volumes, comparing dose volumes, and visualizing isodose lines and surfaces. The effectiveness of using 3D Slicer with the proposed SlicerRT extension for radiation Therapy Research was demonstrated on multiple use cases. Conclusions: A new open-source software toolkit has been developed for radiation Therapy Research. SlicerRT can import treatment plans from various sources into 3D Slicer for visualization, analysis, comparison, and processing. The provided algorithms are extensively tested and they are accessible through a convenient graphical user interface as well as a flexible application programming interface.
