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Relevant bibliographies by topics / Intensity modulated radiation therapy

Academic literature on the topic 'Intensity modulated radiation therapy'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 January 2023

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Journal articles on the topic "Intensity modulated radiation therapy"

1

Lewin, D. I. "Intensity-modulated radiation therapy." Computing in Science & Engineering 4, no. 5 (September 2002): 8–9. http://dx.doi.org/10.1109/mcise.2002.1032423.

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Williams, P. C. "Intensity-Modulated Radiation Therapy." Physics in Medicine and Biology 46, no. 8 (July 18, 2001): 2267–68. http://dx.doi.org/10.1088/0031-9155/46/8/701.

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Purdy, James A. "Intensity-modulated radiation therapy." International Journal of Radiation Oncology*Biology*Physics 35, no. 4 (July 1996): 845–46. http://dx.doi.org/10.1016/0360-3016(96)00223-4.

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Goffman, Thomas E., and Eli Glatstein. "Intensity-Modulated Radiation Therapy." Radiation Research 158, no. 1 (July 2002): 115–17. http://dx.doi.org/10.1667/0033-7587(2002)158[0115:imrt]2.0.co;2.

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Murthy, Vedang, and Alan Horwich. "Intensity Modulated Radiation Therapy." European Journal of Cancer 40, no. 16 (November 2004): 2349–51. http://dx.doi.org/10.1016/j.ejca.2004.06.029.

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Lee, N. Y., and S. A. Terezakis. "Intensity-modulated radiation therapy." Journal of Surgical Oncology 97, no. 8 (2008): 691–96. http://dx.doi.org/10.1002/jso.21014.

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Esiashvili, Natia, Mary Koshy, and Jerome Landry. "Intensity-modulated radiation therapy." Current Problems in Cancer 28, no. 2 (March 2004): 47–84. http://dx.doi.org/10.1016/j.currproblcancer.2004.01.001.

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Reddya, U. Umamaheswara, and Panduranganath . "Comparison of Volumetric Modulated ARC Therapy (VMAT) to Conventional Intensity Modulated Radiation Therapy for Carcinoma Cervix." Indian Journal of Cancer Education and Research 5, no. 2 (2017): 113–25. http://dx.doi.org/10.21088/ijcer.2321.9815.5217.10.

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Rana, Suresh. "Intensity modulated radiation therapy versus volumetric intensity modulated arc therapy." Journal of Medical Radiation Sciences 60, no. 3 (August 22, 2013): 81–83. http://dx.doi.org/10.1002/jmrs.19.

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Xu, Tong, Polad M. Shikhaliev, Muthana Al-Ghazi, and Sabee Molloi. "Reshapable physical modulator for intensity modulated radiation therapy." Medical Physics 29, no. 10 (September 12, 2002): 2222–29. http://dx.doi.org/10.1118/1.1508109.

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Dissertations / Theses on the topic "Intensity modulated radiation therapy"

1

Chapman, Alison. "Dosimetric verification of intensity modulated radiation therapy." Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20061026.141700/index.html.

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Olofsson, Lennart. "Energy and intensity modulated radiation therapy with electrons." Doctoral thesis, Umeå : Department of Radiation Sciences, Radiation Physics, Umeå University, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-491.

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Tangboonduangjit, Puangpen. "Intensity-modulated radiation therapy dose maps the matchline effect /." Access electronically, 2006. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20060724.095712/index.html.

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Kumar, Arvind. "Novel methods for intensity modulated radiation therapy treatment planning." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011543.

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Dou, Xin Wu Xiaodong. "New algorithms for target delineation and radiation delivery in intensity-modulated radiation therapy." [Iowa City, Iowa] : University of Iowa, 2009. http://ir.uiowa.edu/etd/354.

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Dou, Xin. "New algorithms for target delineation and radiation delivery in intensity-modulated radiation therapy." Diss., University of Iowa, 2009. https://ir.uiowa.edu/etd/354.

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Intensity modulated radiation therapy (IMRT) is a modern cancer therapy technique that aims to deliver a highly conformal radiation dose to a target tumor while sparing the surrounding normal tissues. The prescribed dose is specified by an intensity map (IM) matrix and often delivered by a multileaf collimator (MLC). In this thesis, we study a set of combinatorial optimization problems arising in the field of IMRT: 1) the auto-contouring problems using region properties, which aim to optimize the intraclass variance of the target objects; 2) the field decomposition problems, whose goal is to decompose a "complex" IM to the sum of two "simpler" sub-IMs such that the two sub-IMs are delivered in orthogonal directions to improve the delivery efficiency; 3) the field splitting problems, which seek to split a large IM that can not be directly delivered by MLC into several separate sub-IMs of size no larger than the given MLC size and the delivery effectiveness is optimized. Our algorithms are based on combinatorial techniques - mostly graph-based algorithms. We strive to find the globally optimal solution efficiently - in a linear or low polynomial time. In the case that the exact algorithm is not efficient enough, an approximation algorithm is also developed for solving the problem. We have implemented all the proposed algorithms and experimented on computer-generated phantoms and clinical data. Comparing with results supervised by experts, the auto-contouring algorithms yield highly accurate results for all tested datasets. The field decomposition and field splitting methods produce treatment plans of much better quality while comparing with the state-of-the-art commercial treatment planning system.

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Thompson, Heather K. "Numerically produced compensators for conventional and intensity modulated beam therapy." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=30834.

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A study is performed to assess the utility of a computer numerically controlled (CNC) mill to produce missing tissue compensating filters and for the delivery of intensity-modulated beams for inverse treatment planning. A computer aided machining (CAM) software is used to assist in the design and construction of such filters. Geometric measurements of stepped and wedged surfaces are made to examine the accuracy of surface milling. Results show that the deviation of the filter surfaces from design does not exceed 1.5%. Effective attenuation coefficients are measured for CadFree and Cerrobend in a 6 MV photon beam. The ability of the CNC mill to accurately produce surfaces is further verified with dose profile measurements in a 6 MV photon beam. Dose profiles, measured beneath the test phantoms and beneath a flat phantom are compared to those produced by a commercial treatment planning system. Agreement between measured and predicted profiles is within 2%, indicating the viability of the system for filter production.

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Iori, Mauro. "Rotational intensity modulated radiation therapy : dosimetric, treatment planning, and radiobiological aspects." Thesis, University of Liverpool, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569581.

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The introduction in Radiation Oncology of x-ray beams fluence modulation, the treatment technique known as Intensity Modulated Radiation Therapy (IMRT), is leading to the flourishing of new and increasingly sophisticated treatments. It is within this context that delivery systems have been evolving from static to rotational IMRT techniques through which significant advantages have occurred in terms of treatment plan quality, delivery efficiency and accuracy, although paying the price of longer calculation times for the plan optimization. The point has been reached where the perceived advantages of rotational IMRT techniques, for which some companies have marketed therapy systems with different architecture from that of conventional linear accelerators, have led users to question whether the established and more conventional systems are becoming obsolete. However, the newly available methods of delivering Intensity Modulated Arc Therapies (IMAT) using conventional accelerators, an advanced form of rotational IMRT that combines multiple arcs with variable fluence and gantry speed, seem to have provided a preliminary answer to this concern. Although it is difficult to know which of these treatment modalities will be discontinued in the near future, it is clear that the rotational IMR T is expected to become increasingly important. Therefore, the problem of understanding which are the strengths of these techniques, or the most effective methods (forward or inverse-planning based) of their treatment planning procedures, as well as the most robust and effective systems for verifying dosimetrically such rotational deliveries can be considered current research topics. As a results, different aspects of rotational IMRT techniques have been investigated in this work, starting with the pre-clinical dosimetry of IMAT therapies, passing through the planning procedures also in comparison with static IMR T, and advancing to a special application of 'rotational IMRT': the simulation of radiobiologically optimised, voxel-based dose-painting, guided by the metabolic tumour imaging. In particular we have worked on: two methods for the pre-clinical dosimetry of IMA T treatments using a matrix detector of ionization-chambers and an electronic portal imaging device, a forward and an inverse-planning approach for simulating IMAT treatments, a ranking of plans simulated with static and rotational IMRT modalities on prostate tumour. The high conformality achievable by rotational IMRT, as well as its potential to deliver selectively different doses inside a heterogeneous target volume, together with the image guidance capabilities of the newest therapy units, makes arc modulation the most appropriate and suitable instrument for assessing future "dose painting" treatments. In this regard, two radiobiological objective functions for guiding the dose redistribution inside a group of prostate tumours according to their estimated clonogenic density distribution (based on Position Emission Tomography imaging) were developed, compared and analysed.

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Fredriksson, Albin. "Robust optimization of radiation therapy accounting for geometric uncertainty." Doctoral thesis, KTH, Optimeringslära och systemteori, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122262.

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Geometric errors may compromise the quality of radiation therapy treatments. Optimization methods that account for errors can reduce their effects. The first paper of this thesis introduces minimax optimization to account for systematic range and setup errors in intensity-modulated proton therapy. The minimax method optimizes the worst case outcome of the errors within a given set. It is applied to three patient cases and shown to yield improved target coverage robustness and healthy structure sparing compared to conventional methods using margins, uniform beam doses, and density override. Information about the uncertainties enables the optimization to counterbalance the effects of errors. In the second paper, random setup errors of uncertain distribution---in addition to the systematic range and setup errors---are considered in a framework that enables scaling between expected value and minimax optimization. Experiments on a phantom show that the best and mean case tradeoffs between target coverage and critical structure sparing are similar between the methods of the framework, but that the worst case tradeoff improves with conservativeness. Minimax optimization only considers the worst case errors. When the planning criteria cannot be fulfilled for all errors, this may have an adverse effect on the plan quality. The third paper introduces a method for such cases that modifies the set of considered errors to maximize the probability of satisfying the planning criteria. For two cases treated with intensity-modulated photon and proton therapy, the method increased the number of satisfied criteria substantially. Grasping for a little less sometimes yields better plans. In the fourth paper, the theory for multicriteria optimization is extended to incorporate minimax optimization. Minimax optimization is shown to better exploit spatial information than objective-wise worst case optimization, which has previously been used for robust multicriteria optimization. The fifth and sixth papers introduce methods for improving treatment plans: one for deliverable Pareto surface navigation, which improves upon the Pareto set representations of previous methods; and one that minimizes healthy structure doses while constraining the doses of all structures not to deteriorate compared to a reference plan, thereby improving upon plans that have been reached with too weak planning goals.

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Meyer, Jurgen. "Accommodating practical constraints for intensity-modulated radiation therapy by means of compensators." Thesis, Coventry University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369972.

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Books on the topic "Intensity modulated radiation therapy"

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Intensity-modulated radiation therapy. Bristol: Institute of Physics Pub., 2001.

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Nishimura, Yasumasa, and Ritsuko Komaki, eds. Intensity-Modulated Radiation Therapy. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55486-8.

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C, Roeske John, ed. Intensity modulated radiation therapy: A clinical perspective. Hamilton: BC Decker, 2005.

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name, No. Intensity modulated radiation therapy for head and neck cancer. Philadelphia, Pa: Lippincott Williams & Wilkins, 2003.

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Korol, Renée. Intensity-modulated radiation therapy with Cobalt beams and modulating filters. Sudbury, Ont: Laurentian University, School of Graduate Studies, 2003.

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Lee, Nancy Y., Nadeem Riaz, and Jiade J. Lu, eds. Target Volume Delineation for Conformal and Intensity-Modulated Radiation Therapy. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-05726-2.

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Grégoire, Vincent, Pierre Scalliet, and K. Kian Ang, eds. Clinical Target Volumes in Conformal and Intensity Modulated Radiation Therapy. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-06270-8.

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Jatinder, Palta, and Mackie T. Rock, eds. Intensity-modulated radiation therapy: The state of the art : American Association of Physicists in Medicine 2003 Summer School Proceedings, Colorado College, Colorado Springs, Colorado, June 22-26, 2003. Madison, WI: Published for the American Association of Physicists in Medicine by Medical Physics Pub., 2003.

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Webb, Steven. Intensity-Modulated Radiation Therapy. Taylor & Francis Group, 2000.

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Webb, S. Intensity-Modulated Radiation Therapy. Taylor & Francis Group, 2015.

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Book chapters on the topic "Intensity modulated radiation therapy"

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Rider, Robert. "Intensity-Modulated Radiation Therapy." In Encyclopedia of Clinical Neuropsychology, 1338. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_120.

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Rider, Robert. "Intensity-Modulated Radiation Therapy." In Encyclopedia of Clinical Neuropsychology, 1. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_120-2.

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Rider, Robert. "Intensity-Modulated Radiation Therapy." In Encyclopedia of Clinical Neuropsychology, 1830. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_120.

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Caudell, Jimmy. "Intensity Modulated Radiation Therapy." In Encyclopedia of Otolaryngology, Head and Neck Surgery, 1331–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-23499-6_130.

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Kadam, Amrut S., and Avraham Eisbruch. "Sequelae of Therapy of Head and Neck Cancer: Their Prevention and Therapy." In Intensity-Modulated Radiation Therapy, 215–48. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55486-8_11.

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Mills, Michael D., and Shiao Y. Woo. "History of IMRT." In Intensity-Modulated Radiation Therapy, 3–14. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55486-8_1.

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Gunn, G. Brandon, and Adam S. Garden. "Postoperative Intensity-Modulated Radiation Therapy for Head and Neck Cancers: A Case-Based Review." In Intensity-Modulated Radiation Therapy, 193–213. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55486-8_10.

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Nguyen, Quynh-Nhu, Ritsuko Komaki, Daniel R. Gomez, and Zhongxing Liao. "Non-small Cell Lung Cancer." In Intensity-Modulated Radiation Therapy, 249–60. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55486-8_12.

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Chance, William W., Neal Rebueno, and Daniel R. Gomez. "Mesothelioma." In Intensity-Modulated Radiation Therapy, 261–73. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55486-8_13.

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Chronowski, Gregory M. "Breast Cancer." In Intensity-Modulated Radiation Therapy, 275–88. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55486-8_14.

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Conference papers on the topic "Intensity modulated radiation therapy"

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Benites-Rengifo, J. "Film Dosimetry for Intensity Modulated Radiation Therapy." In MEDICAL PHYSICS: Eighth Mexican Symposium on Medical Physics. AIP, 2004. http://dx.doi.org/10.1063/1.1811859.

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Shuang Luan, Chao Wang, D. Z. Chen, and X. S. Hu. "A Leaf Sequencing Software for Intensity-Modulated Radiation Therapy." In Proceedings. 19th IEEE International Symposium on Computer-Based Medical Systems. IEEE, 2006. http://dx.doi.org/10.1109/cbms.2006.14.

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Erhart, Kevin J., Eduardo A. Divo, and Alain J. Kassab. "Direct Compensator Profile Optimization for Intensity Modulated Radiation Therapy Treatment Planning." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-12864.

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Radiation therapy is a widely used and highly effective technique for the treatment of cancer, however the commissioning and delivery of a course of external beam radiation is a complex process with numerous challenges. This paper will present new developments that aim to improve both the planning and delivery of this important cancer treatment technique. Specifically, this work develops a new direct delivery parameter optimization approach for planning of solid compensator intensity modulated radiation therapy, coined Direct Compensator Profile Optimization (DCPO). In order to understand the benefits and implications of this new DCPO approach, a reasonable understanding of the field of radiation therapy is needed. Therefore, this document will include a brief discussion of the history and relevant background information in the area of radiation therapy. It is intended that this background information is detailed enough so that the remainder of this research can be followed by those without existing experience in the field of radiation treatment planning. The specific details of this new approach will be then be presented followed by a display of initial results to verify the performance.

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Gunawardena, Athula D., and Robert R. Meyer. "Approximation and Segment Count Reduction in Intensity Modulated Radiation Therapy." In 2006 International Conference on Industrial and Information Systems. IEEE, 2006. http://dx.doi.org/10.1109/iciinfs.2006.347171.

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Brynkevich, A. I., T. S. Chikova, and M. N. Piatkevich. "DOSIMETRIC VERIFICATION OF TREATMENT PLANS IN INTENSITY-MODULATED RADIATION THERAPY." In SAKHAROV READINGS 2022: ENVIRONMENTAL PROBLEMS OF THE XXI CENTURY. International Sakharov Environmental Institute of Belarusian State University, 2022. http://dx.doi.org/10.46646/sakh-2022-2-226-229.

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A typical process for verification of treatment plans in radiation therapy with intensity modulation is described. The simplest way to compare dose distributions, i.e., superposition of contours of dose distributions on top of each other, is considered, its advantages and disadvantages are given. The main measurement geometries used in clinical practice for dosimetric verification of irradiation plans are described. The term “gamma analysis” is defined, as well as the gamma analysis criteria - dose difference, distance criterion, degree of comparison by the gamma index. The values of the gamma analysis criteria used in domestic clinics and abroad are given.

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Gunawardena, Athula D., and Robert R. Meyer. "Approximation and Segment Count Reduction in Intensity Modulated Radiation Therapy." In First International Conference on Industrial and Information Systems. IEEE, 2006. http://dx.doi.org/10.1109/iciis.2006.365745.

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Song, Yulin, Boris Muller, Chandra Burman, and Borys Mychalczak. "From Intensity Modulated Radiation Therapy to 4D Radiation Therapy - An Advance in Targeting Mobile Lung Tumors." In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2007. http://dx.doi.org/10.1109/iembs.2007.4352264.

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Ono, Yasushi, Kazu Mishiba, Yuji Oyamada, Yoshiharu Hirata, and Katsuya Kondo. "Resolution improvement of point dose distribution in intensity modulated radiation therapy." In 2015 15th International Symposium on Communications and Information Technologies (ISCIT). IEEE, 2015. http://dx.doi.org/10.1109/iscit.2015.7458326.

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Chen, Danny Z., Xiaobo S. Hu, Chao Wang, and Xiaodong Wu. "Mountain reduction, block matching, and applications in intensity-modulated radiation therapy." In the twenty-first annual symposium. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1064092.1064101.

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Price, Stuart, Bruce Golden, Edward Wasil, and Hao H. Zhang. "Data mining to aid beam angle selection for intensity-modulated radiation therapy." In BCB '14: ACM-BCB '14. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2649387.2649412.

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Reports on the topic "Intensity modulated radiation therapy"

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Ipe, Nisy E. Neutron Measurements for Intensity Modulated Radiation Therapy. Office of Scientific and Technical Information (OSTI), April 2000. http://dx.doi.org/10.2172/763769.

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Seravalli, E., L. Van Battum, M. Van Gellekom, A. Houweling, J. Kaas, M. Kuik, E. Loef, J. De Pooter, T. Raaben, and W. De Vries. NCS Report 28: National Audit of Quality Assurance for Intensity Modulated Radiotherapy and Volumetric Modulated Arc Therapy. Delft: NCS, March 2018. http://dx.doi.org/10.25030/ncs-028.

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Song, Yulin, and Steve B. Jiang. A Multileaf Collimator for Modulated Electron Radiation Therapy for Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, April 2002. http://dx.doi.org/10.21236/ada405423.

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Ponineau, Maxime, and Arthur L. Boyer. Beam Delivery Verification for Modulated Electron Radiation Therapy Treatment of Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, August 2004. http://dx.doi.org/10.21236/ada430385.

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Ponineau, Maxime, and Arthur L. Boyer. Beam Delivery Verification for Modulated Electron Radiation Therapy Treatment of Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, August 2003. http://dx.doi.org/10.21236/ada418355.

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Xing, Lei. Intensity Modulated Radiation Treatment of Prostate Cancer Guided by High Field MR Spectroscopic Imaging. Fort Belvoir, VA: Defense Technical Information Center, May 2005. http://dx.doi.org/10.21236/ada442246.

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Xing, Lei. Intensity Modulated Radiation Treatment of Prostate Cancer Guided by High Field MR Spectroscopic Imaging. Fort Belvoir, VA: Defense Technical Information Center, May 2004. http://dx.doi.org/10.21236/ada428422.

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Xing, Lei. Intensity Modulated Radiation Treatment of Prostate Cancer Guided by High Field MR Spectroscopic Imaging. Fort Belvoir, VA: Defense Technical Information Center, May 2006. http://dx.doi.org/10.21236/ada468461.

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