The Experts below are selected from a list of 237 Experts worldwide ranked by ideXlab platform
Shogo Yamada - One of the best experts on this subject based on the ideXlab platform.
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construction of a remote Radiotherapy Planning System
International Journal of Clinical Oncology, 2005Co-Authors: Yoshihiro Ogawa, Kenji Nemoto, Yoshihisa Kakuto, Hiromasa Seiji, Kazuya Sasaki, Chiaki Takahashi, Yoshihiro Takai, Shogo YamadaAbstract:Background We constructed a remote Radiotherapy Planning System, and we examined the usefulness of and faults in our System in this study.
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Construction of a remote Radiotherapy Planning System
International Journal of Clinical Oncology, 2005Co-Authors: Yoshihiro Ogawa, Kenji Nemoto, Yoshihisa Kakuto, Hiromasa Seiji, Kazuya Sasaki, Chiaki Takahashi, Yoshihiro Takai, Shogo YamadaAbstract:Background We constructed a remote Radiotherapy Planning System, and we examined the usefulness of and faults in our System in this study. Methods Two identical Radiotherapy Planning Systems, one installed at our institution and the other installed at an affiliated hospital, were used for Radiotherapy Planning. The two Systems were connected by a wide area network (WAN), using a leased line. Beam data for the linear accelerator at the affiliated hospital were installed in the two Systems. During the period from December 2001 to December 2002, 43 remote Radiotherapy plans were made using this System. Results Data were transmitted using a file transfer protocol (FTP) software program. The 43 Radiotherapy plans examined in this study consisted of 13 ordinary Radiotherapy plans, 28 Radiotherapy plans sent to provide assistance for medical residents, and 2 Radiotherapy plans for emergency cases. There were ten minor Planning changes made in Radiotherapy plans sent to provide assistance for medical residents. Conclusion Our remote Radiotherapy Planning System based on WAN using a leased line is useful for remote Radiotherapy, with advantages for both radiation oncologists and medical residents.
E L Chaney - One of the best experts on this subject based on the ideXlab platform.
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su ff t 362 planunc as an open source Radiotherapy Planning System for research and education
Medical Physics, 2006Co-Authors: E Schreiber, Z Xu, A Lorenzen, Mark Foskey, T Cullip, Gregg Tracton, E L ChaneyAbstract:Purpose: PLanUNC is a Radiotherapy Planning software package that has been under development and clinical use at the University of North Carolina for approximately 20 years. Under a joint grant from the NCRR and NCI (R01 RR 018615), PLanUNC has been documented, commented, and prepared for distribution as a freely available open‐source treatment Planning tool for use as an adaptable and common platform for Radiotherapy research. Method and Materials: The software and source code have been made available to qualifying users through a web portal located at http://planunc.radonc.unc.edu. Licenses for PLanUNC are available without fee to institutions, departments, and other facilities engaged in research and education involving radiation therapy.Results: Recent research milestones demonstrating the extensibility and increasing utility of PLanUNC include tools for 4D Planning, interfaces with ITK segmentation and registration tools, daily correction of patient positioning, and interfaces with a variety of Monte Carlo dose engines. PLanUNC is currently supported for Linux and Windows operating Systems, but has been successfully compiled on Alpha, Macintosh, Solaris, and other platforms. Conclusion: Licensed users will have access to PLanUNC source code, user and development documentation, annual training workshops, and limited support from UNC and the PLanUNC research community. PLanUNC is distributed as source code, making it customizable and extensible to meet the needs of a diverse range of research applications.
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su ff t 436 tools for integrating monte carlo dose engines with a Radiotherapy Planning System
Medical Physics, 2006Co-Authors: E Schreiber, Gregg Tracton, E L ChaneyAbstract:Purpose:Monte Carlo simulations represent the gold standard in Radiotherapydose calculation. While numerous tools have been developed to facilitate accelerator and patient modeling within a Monte Carlo simulation, there are few commonly available tools for interfacing a Monte Carlodose engine with a fully‐featured treatment Planningsoftware package. We report on the development of tools to integrate a Monte Carlodose engine with clinically useful Radiotherapy Planning software.Method and Materials: The initial release is configured to operate with PLanUNC, a freely available open‐source Radiotherapy Planning tool. The Monte Carlo integration package consists of several modular scripts and programs that act as a bridge between the treatment Planningsoftware and the Monte Carlodose engine. Results: Using PLanUNC as a front end for the Monte Carlo, the user can develop a treatment plan, export beams and patient information to the Monte Carlo, recover the dose distribution, and analyze the results of the calculation in PLanUNC according to isodose, DVH, or EUD, as well as compare the results of the Monte Carlo simulation with results from other calculations. Conclusion: The Monte Carlo interface package facilitates the clinical use of Monte Carlo by allowing a fully‐featured Radiotherapy Planning suite to be used as a front end, allowing flexible treatment Planning and analysis of the Monte Carlo results. The modular nature of the software makes it straightforward to adapt these tools for use with other treatment Planningsoftware packages.
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SU‐FF‐T‐362: PLanUNC as An Open‐Source Radiotherapy Planning System for Research and Education
Medical Physics, 2006Co-Authors: E Schreiber, Z Xu, A Lorenzen, Mark Foskey, T Cullip, Gregg Tracton, E L ChaneyAbstract:Purpose: PLanUNC is a Radiotherapy Planning software package that has been under development and clinical use at the University of North Carolina for approximately 20 years. Under a joint grant from the NCRR and NCI (R01 RR 018615), PLanUNC has been documented, commented, and prepared for distribution as a freely available open‐source treatment Planning tool for use as an adaptable and common platform for Radiotherapy research. Method and Materials: The software and source code have been made available to qualifying users through a web portal located at http://planunc.radonc.unc.edu. Licenses for PLanUNC are available without fee to institutions, departments, and other facilities engaged in research and education involving radiation therapy.Results: Recent research milestones demonstrating the extensibility and increasing utility of PLanUNC include tools for 4D Planning, interfaces with ITK segmentation and registration tools, daily correction of patient positioning, and interfaces with a variety of Monte Carlo dose engines. PLanUNC is currently supported for Linux and Windows operating Systems, but has been successfully compiled on Alpha, Macintosh, Solaris, and other platforms. Conclusion: Licensed users will have access to PLanUNC source code, user and development documentation, annual training workshops, and limited support from UNC and the PLanUNC research community. PLanUNC is distributed as source code, making it customizable and extensible to meet the needs of a diverse range of research applications.
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SU‐FF‐T‐436: Tools for Integrating Monte Carlo Dose Engines with a Radiotherapy Planning System
Medical Physics, 2006Co-Authors: E Schreiber, Gregg Tracton, E L ChaneyAbstract:Purpose:Monte Carlo simulations represent the gold standard in Radiotherapydose calculation. While numerous tools have been developed to facilitate accelerator and patient modeling within a Monte Carlo simulation, there are few commonly available tools for interfacing a Monte Carlodose engine with a fully‐featured treatment Planningsoftware package. We report on the development of tools to integrate a Monte Carlodose engine with clinically useful Radiotherapy Planning software.Method and Materials: The initial release is configured to operate with PLanUNC, a freely available open‐source Radiotherapy Planning tool. The Monte Carlo integration package consists of several modular scripts and programs that act as a bridge between the treatment Planningsoftware and the Monte Carlodose engine. Results: Using PLanUNC as a front end for the Monte Carlo, the user can develop a treatment plan, export beams and patient information to the Monte Carlo, recover the dose distribution, and analyze the results of the calculation in PLanUNC according to isodose, DVH, or EUD, as well as compare the results of the Monte Carlo simulation with results from other calculations. Conclusion: The Monte Carlo interface package facilitates the clinical use of Monte Carlo by allowing a fully‐featured Radiotherapy Planning suite to be used as a front end, allowing flexible treatment Planning and analysis of the Monte Carlo results. The modular nature of the software makes it straightforward to adapt these tools for use with other treatment Planningsoftware packages.
Barbara Dobler - One of the best experts on this subject based on the ideXlab platform.
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Total body irradiation-an attachment free sweeping beam technique
Radiation Oncology, 2016Co-Authors: Petra Härtl, Marius Treutwein, Matthias G. Hautmann, Manuel März, Fabian Pohl, Oliver Kölbl, Barbara DoblerAbstract:Introduction A sweeping beam technique for total body irradiation in standard treatment rooms and for standard linear accelerators (linacs) is introduced, which does not require any accessory attached to the linac. Lung shielding is facilitated to reduce the risk of pulmonary toxicity. Additionally, the applicability of a commercial Radiotherapy Planning System (RTPS) is examined.
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Total body irradiation—an attachment free sweeping beam technique
Radiation Oncology, 2016Co-Authors: Petra Härtl, Marius Treutwein, Matthias G. Hautmann, Manuel März, Fabian Pohl, Oliver Kölbl, Barbara DoblerAbstract:Introduction A sweeping beam technique for total body irradiation in standard treatment rooms and for standard linear accelerators (linacs) is introduced, which does not require any accessory attached to the linac. Lung shielding is facilitated to reduce the risk of pulmonary toxicity. Additionally, the applicability of a commercial Radiotherapy Planning System (RTPS) is examined. Material and Methods The patient is positioned on a low couch on the floor, the longitudinal axis of the body in the rotational plane of the linac. Eight arc fields and five additional fixed beams are applied to the patient in supine and prone position respectively. The dose distributions were measured in a solid water phantom and in an Alderson phantom. Diode detectors were calibrated for in-vivo dosimetry. The RTPS Oncentra was employed for calculations of the dose distribution. Results For the cranial 120 cm the longitudinal dose profile in a slab phantom measured with ionization chamber varies between 94 and 107 % of the prescription dose. These values were confirmed by film measurements and RTPS calculations. The transmittance of the lung shields has been determined as a function of the thickness of the absorber material. Measurements in an Alderson phantom and in-vivo dosimetry of the first patients match the calculated dose. Discussion and conclusion A treatment technique with clinically good dose distributions has been introduced, which can be applied with each standard linac and in standard treatment rooms. Dose calculations were performed with a commercial RTPS and should enable individual dose optimization.
Yoshihiro Ogawa - One of the best experts on this subject based on the ideXlab platform.
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construction of a remote Radiotherapy Planning System
International Journal of Clinical Oncology, 2005Co-Authors: Yoshihiro Ogawa, Kenji Nemoto, Yoshihisa Kakuto, Hiromasa Seiji, Kazuya Sasaki, Chiaki Takahashi, Yoshihiro Takai, Shogo YamadaAbstract:Background We constructed a remote Radiotherapy Planning System, and we examined the usefulness of and faults in our System in this study.
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Construction of a remote Radiotherapy Planning System
International Journal of Clinical Oncology, 2005Co-Authors: Yoshihiro Ogawa, Kenji Nemoto, Yoshihisa Kakuto, Hiromasa Seiji, Kazuya Sasaki, Chiaki Takahashi, Yoshihiro Takai, Shogo YamadaAbstract:Background We constructed a remote Radiotherapy Planning System, and we examined the usefulness of and faults in our System in this study. Methods Two identical Radiotherapy Planning Systems, one installed at our institution and the other installed at an affiliated hospital, were used for Radiotherapy Planning. The two Systems were connected by a wide area network (WAN), using a leased line. Beam data for the linear accelerator at the affiliated hospital were installed in the two Systems. During the period from December 2001 to December 2002, 43 remote Radiotherapy plans were made using this System. Results Data were transmitted using a file transfer protocol (FTP) software program. The 43 Radiotherapy plans examined in this study consisted of 13 ordinary Radiotherapy plans, 28 Radiotherapy plans sent to provide assistance for medical residents, and 2 Radiotherapy plans for emergency cases. There were ten minor Planning changes made in Radiotherapy plans sent to provide assistance for medical residents. Conclusion Our remote Radiotherapy Planning System based on WAN using a leased line is useful for remote Radiotherapy, with advantages for both radiation oncologists and medical residents.
E Schreiber - One of the best experts on this subject based on the ideXlab platform.
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su ff t 362 planunc as an open source Radiotherapy Planning System for research and education
Medical Physics, 2006Co-Authors: E Schreiber, Z Xu, A Lorenzen, Mark Foskey, T Cullip, Gregg Tracton, E L ChaneyAbstract:Purpose: PLanUNC is a Radiotherapy Planning software package that has been under development and clinical use at the University of North Carolina for approximately 20 years. Under a joint grant from the NCRR and NCI (R01 RR 018615), PLanUNC has been documented, commented, and prepared for distribution as a freely available open‐source treatment Planning tool for use as an adaptable and common platform for Radiotherapy research. Method and Materials: The software and source code have been made available to qualifying users through a web portal located at http://planunc.radonc.unc.edu. Licenses for PLanUNC are available without fee to institutions, departments, and other facilities engaged in research and education involving radiation therapy.Results: Recent research milestones demonstrating the extensibility and increasing utility of PLanUNC include tools for 4D Planning, interfaces with ITK segmentation and registration tools, daily correction of patient positioning, and interfaces with a variety of Monte Carlo dose engines. PLanUNC is currently supported for Linux and Windows operating Systems, but has been successfully compiled on Alpha, Macintosh, Solaris, and other platforms. Conclusion: Licensed users will have access to PLanUNC source code, user and development documentation, annual training workshops, and limited support from UNC and the PLanUNC research community. PLanUNC is distributed as source code, making it customizable and extensible to meet the needs of a diverse range of research applications.
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su ff t 436 tools for integrating monte carlo dose engines with a Radiotherapy Planning System
Medical Physics, 2006Co-Authors: E Schreiber, Gregg Tracton, E L ChaneyAbstract:Purpose:Monte Carlo simulations represent the gold standard in Radiotherapydose calculation. While numerous tools have been developed to facilitate accelerator and patient modeling within a Monte Carlo simulation, there are few commonly available tools for interfacing a Monte Carlodose engine with a fully‐featured treatment Planningsoftware package. We report on the development of tools to integrate a Monte Carlodose engine with clinically useful Radiotherapy Planning software.Method and Materials: The initial release is configured to operate with PLanUNC, a freely available open‐source Radiotherapy Planning tool. The Monte Carlo integration package consists of several modular scripts and programs that act as a bridge between the treatment Planningsoftware and the Monte Carlodose engine. Results: Using PLanUNC as a front end for the Monte Carlo, the user can develop a treatment plan, export beams and patient information to the Monte Carlo, recover the dose distribution, and analyze the results of the calculation in PLanUNC according to isodose, DVH, or EUD, as well as compare the results of the Monte Carlo simulation with results from other calculations. Conclusion: The Monte Carlo interface package facilitates the clinical use of Monte Carlo by allowing a fully‐featured Radiotherapy Planning suite to be used as a front end, allowing flexible treatment Planning and analysis of the Monte Carlo results. The modular nature of the software makes it straightforward to adapt these tools for use with other treatment Planningsoftware packages.
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SU‐FF‐T‐362: PLanUNC as An Open‐Source Radiotherapy Planning System for Research and Education
Medical Physics, 2006Co-Authors: E Schreiber, Z Xu, A Lorenzen, Mark Foskey, T Cullip, Gregg Tracton, E L ChaneyAbstract:Purpose: PLanUNC is a Radiotherapy Planning software package that has been under development and clinical use at the University of North Carolina for approximately 20 years. Under a joint grant from the NCRR and NCI (R01 RR 018615), PLanUNC has been documented, commented, and prepared for distribution as a freely available open‐source treatment Planning tool for use as an adaptable and common platform for Radiotherapy research. Method and Materials: The software and source code have been made available to qualifying users through a web portal located at http://planunc.radonc.unc.edu. Licenses for PLanUNC are available without fee to institutions, departments, and other facilities engaged in research and education involving radiation therapy.Results: Recent research milestones demonstrating the extensibility and increasing utility of PLanUNC include tools for 4D Planning, interfaces with ITK segmentation and registration tools, daily correction of patient positioning, and interfaces with a variety of Monte Carlo dose engines. PLanUNC is currently supported for Linux and Windows operating Systems, but has been successfully compiled on Alpha, Macintosh, Solaris, and other platforms. Conclusion: Licensed users will have access to PLanUNC source code, user and development documentation, annual training workshops, and limited support from UNC and the PLanUNC research community. PLanUNC is distributed as source code, making it customizable and extensible to meet the needs of a diverse range of research applications.
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SU‐FF‐T‐436: Tools for Integrating Monte Carlo Dose Engines with a Radiotherapy Planning System
Medical Physics, 2006Co-Authors: E Schreiber, Gregg Tracton, E L ChaneyAbstract:Purpose:Monte Carlo simulations represent the gold standard in Radiotherapydose calculation. While numerous tools have been developed to facilitate accelerator and patient modeling within a Monte Carlo simulation, there are few commonly available tools for interfacing a Monte Carlodose engine with a fully‐featured treatment Planningsoftware package. We report on the development of tools to integrate a Monte Carlodose engine with clinically useful Radiotherapy Planning software.Method and Materials: The initial release is configured to operate with PLanUNC, a freely available open‐source Radiotherapy Planning tool. The Monte Carlo integration package consists of several modular scripts and programs that act as a bridge between the treatment Planningsoftware and the Monte Carlodose engine. Results: Using PLanUNC as a front end for the Monte Carlo, the user can develop a treatment plan, export beams and patient information to the Monte Carlo, recover the dose distribution, and analyze the results of the calculation in PLanUNC according to isodose, DVH, or EUD, as well as compare the results of the Monte Carlo simulation with results from other calculations. Conclusion: The Monte Carlo interface package facilitates the clinical use of Monte Carlo by allowing a fully‐featured Radiotherapy Planning suite to be used as a front end, allowing flexible treatment Planning and analysis of the Monte Carlo results. The modular nature of the software makes it straightforward to adapt these tools for use with other treatment Planningsoftware packages.
