Relevant bibliographies by topics / Radiation therapy planning

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Radiation therapy planning'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Radiation therapy planning"

1

Speirs, Christina K., Perry W. Grigsby, Jiayi Huang, et al. "PET-Based Radiation Therapy Planning." PET Clinics 10, no. 1 (2015): 27–44. http://dx.doi.org/10.1016/j.cpet.2014.09.003.

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MacManus, Michael, and Sarah Everitt. "Treatment Planning for Radiation Therapy." PET Clinics 13, no. 1 (2018): 43–57. http://dx.doi.org/10.1016/j.cpet.2017.08.005.

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Ulger, Sukran, Eren Cetin, Serap Catli, Hilal Sarac, Diclehan Kilic, and Huseyin Bora. "Intensity-Modulated Radiation Therapy Improves the Target Coverage Over 3-D Planning While Meeting Lung Tolerance Doses for All Patients With Malignant Pleural Mesothelioma." Technology in Cancer Research & Treatment 16, no. 3 (2016): 332–38. http://dx.doi.org/10.1177/1533034616678110.

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Purpose: To investigate high conformality on target coverage and the ability on creating strict lung dose limitation of intensity-modulated radiation therapy in malignant pleural mesothelioma. Patients and Methods: Twenty-four radiation therapy plannings were evaluated and compared with dosimetric outcomes of conformal radiation therapy and intensity-modulated radiation therapy. Hemithoracal radiation therapy was performed on 12 patients with a fraction of 1.8 Gy to a total dose of 50.4 Gy. All organs at risk were contoured. Radiotherapy plannings were differed according to the technique; conf
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Fischer, David K., R. Heath Foxlee, Hirsch Handmaker, Simeon T. Cantril, and Mark C. Rounsaville. "Image telecommunication for radiation therapy planning." International Journal of Radiation Oncology*Biology*Physics 17 (January 1989): 238–39. http://dx.doi.org/10.1016/0360-3016(89)90863-8.

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Gardner, Stephen J., Joshua Kim, and Indrin J. Chetty. "Modern Radiation Therapy Planning and Delivery." Hematology/Oncology Clinics of North America 33, no. 6 (2019): 947–62. http://dx.doi.org/10.1016/j.hoc.2019.08.005.

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Specht, Lena, and Anne Kiil Berthelsen. "PET/CT in Radiation Therapy Planning." Seminars in Nuclear Medicine 48, no. 1 (2018): 67–75. http://dx.doi.org/10.1053/j.semnuclmed.2017.09.006.

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Jacky, Jonathan. "3-D Radiation Therapy Treatment Planning." American Journal of Clinical Oncology 13, no. 4 (1990): 331–43. http://dx.doi.org/10.1097/00000421-199008000-00014.

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Nieolaou, Nicos. "Radiation therapy treatment planning and delivery." Seminars in Oncology Nursing 15, no. 4 (1999): 260–69. http://dx.doi.org/10.1016/s0749-2081(99)80055-2.

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Goitein, Michael. "Future prospects in planning radiation therapy." Cancer 55, S9 (1985): 2234–39. http://dx.doi.org/10.1002/1097-0142(19850501)55:9+<2234::aid-cncr2820551428>3.0.co;2-7.

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Brahme, A. "Inverse Methods for Planning Radiation Therapy." Europhysics News 27, no. 6 (1996): 206–9. http://dx.doi.org/10.1051/epn/19962706206.

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Dissertations / Theses on the topic "Radiation therapy planning"

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Balsells, Alex T. "Computational Methods for Radiation Therapy Planning." Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1557844457085534.

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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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Zhang, Tianfang. "Machine learning multicriteria optimization in radiation therapy treatment planning." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257509.

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In radiation therapy treatment planning, recent works have used machine learning based on historically delivered plans to automate the process of producing clinically acceptable plans. Compared to traditional approaches such as repeated weighted-sum optimization or multicriteria optimization (MCO), automated planning methods have, in general, the benefits of low computational times and minimal user interaction, but on the other hand lack the flexibility associated with general-purpose frameworks such as MCO. Machine learning approaches can be especially sensitive to deviations in their dose pr
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Bokrantz, Rasmus. "Multicriteria optimization for managing tradeoffs in radiation therapy treatment planning." Doctoral thesis, KTH, Optimeringslära och systemteori, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122663.

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Treatment planning for radiation therapy inherently involves tradeoffs, such as between tumor control and normal tissue sparing, between time-efficiency and dose quality, and between nominal plan quality and robustness. The purpose of this thesis is to develop methods that can facilitate decision making related to such tradeoffs. The main focus of the thesis is on multicriteria optimization methods where a representative set of treatment plans are first calculated and the most appropriate plan contained in this representation then selected by the treatment planner through continuous interpolat
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Men, Chunhua. "Optimization models for radiation therapy treatment planning and patient scheduling /." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0025021.

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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 advantage
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Thapa, Bishnu Bahadur. "DEVELOPMENT OF A PATIENT SPECIFIC IMAGE PLANNING SYSTEM FOR RADIATION THERAPY." UKnowledge, 2013. http://uknowledge.uky.edu/physastron_etds/11.

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A patient specific image planning system (IPS) was developed that can be used to assist in kV imaging technique selection during localization for radiotherapy. The IPS algorithm performs a divergent ray-trace through a three dimensional computed tomography (CT) data set. Energy-specific attenuation through each voxel of the CT data set is calculated and imaging detector response is integrated into the algorithm to determine the absolute values of pixel intensity and image contrast. Phantom testing demonstrated that image contrast resulting from under exposure, over exposure as well as a contra
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Eriksson, Oskar. "Scenario dose prediction for robust automated treatment planning in radiation therapy." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302568.

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Cancer is a group of diseases that are characterized by abnormal cell growth and is considered a leading cause of death globally. There are a number of different cancer treatment modalities, one of which is radiation therapy. In radiation therapy treatment planning, it is important to make sure that enough radiation is delivered to the tumor and that healthy organs are spared, while also making sure to account for uncertainties such as misalignment of the patient during treatment. To reduce the workload on clinics, data-driven automated treatment planning can be used to generate treatment plan
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Walker, Charlotte Anne. "Feasibility of selective multiple boosting in the planning of intracranial radiation therapy." Thesis, University of Hull, 2007. http://hydra.hull.ac.uk/resources/hull:578.

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IMRT provides unprecedented means to sculpt radiation dose in three-dimensions, pledging potential to improve local disease control via conformal dose escalation as well as better normal tissue sparing via conformal avoidance. In this thesis, the feasibility and practicality of delivering high doses to intelligently-defined multiple tumour sub-volumes is verified for intracranial radiation treatments. The term ‘selective multiple boosting’ (SMB) is adopted for the proposed planning scheme. Physical control over local dose deposition is characterised and quantified through the design of two pse
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Matsuo, Yukinori. "Interinstitutional variations in planning for stereotactic body radiation therapy for lung cancer." Kyoto University, 2007. http://hdl.handle.net/2433/135713.

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Books on the topic "Radiation therapy planning"

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Bentel, Gunilla Carleson. Radiation therapy planning. 2nd ed. McGraw-Hill, Health Professions Division, 1996.

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Bentel, Gunilla C. Radiation therapy planning. 2nd ed. McGraw-Hill, 1996.

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Xia, Ping, Andrew Godley, Chirag Shah, Gregory M. M. Videtic, and John H. Suh, eds. Strategies for Radiation Therapy Treatment Planning. Springer Publishing Company, 2018. http://dx.doi.org/10.1891/9780826122674.

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Radiation therapy planning: Including problems and solutions. Maxwell Macmillan, 1992.

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1925-, Vaeth Jerome M., and Meyer John 1949-, eds. Treatment planning in the radiation therapy of cancer. Karger, 1987.

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Bellon, Jennifer R., Julia S. Wong, Shannon M. MacDonald, and Alice Y. Ho, eds. Radiation Therapy Techniques and Treatment Planning for Breast Cancer. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40392-2.

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Mukherji, Ashutosh. Basics of Planning and Management of Patients during Radiation Therapy. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6659-7.

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Technical basis of radiation therapy: Practical clinical applications. 5th ed. Springer, 2012.

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The physics of three-dimensional radiation therapy: Conformal radiotherapy, radiosurgery, and treatment planning. Institute of Physics Pub., 1993.

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Ruschin, Mark. Integration of digital fluoroscopy with CT-based radiation therapy planning of lung tumours. National Library of Canada, 2002.

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Book chapters on the topic "Radiation therapy planning"

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Nakamura, Mitsuhiro. "Treatment Planning." In Stereotactic Body Radiation Therapy. Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-54883-6_9.

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Lindegaard, Jacob C., Richard Pötter, Eric Van Limbergen, and Christine Haie-Meder. "Clinical Aspects of Treatment Planning." In Gynecologic Radiation Therapy. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68958-4_10.

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Fraass, Benedick A., and Daniel L. McShan. "Three-Dimensional Photon Beam Treatment Planning." In Radiation Therapy Physics. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03107-0_4.

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Heath, Amy. "Simulation and Treatment Planning." In Radiation Therapy Study Guide. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3258-0_6.

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Schlegel, W. "Computer Assisted Radiation Therapy Planning." In 3D Imaging in Medicine. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84211-5_25.

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Hussain, Amjad, and Wazir Muhammad. "Treatment Planning in Radiation Therapy." In An Introduction to Medical Physics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61540-0_4.

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Kalbasi, Anusha, and Edgar Ben-Josef. "Biliary Cancer: Radiation Therapy Planning." In Radiation Therapy for Gastrointestinal Cancers. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43115-4_12.

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Osborne, Eleanor, Christopher Crane, and Prajnan Das. "Anal Cancer: Radiation Therapy Planning." In Radiation Therapy for Gastrointestinal Cancers. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43115-4_16.

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Boyer, Matthew J., Christopher G. Willett, Manisha Palta, and Brian G. Czito. "Esophageal Cancer: Radiation Therapy Planning." In Radiation Therapy for Gastrointestinal Cancers. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43115-4_4.

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Hallemeier, Christopher L., and Michael G. Haddock. "Gastric Cancer: Radiation Therapy Planning." In Radiation Therapy for Gastrointestinal Cancers. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43115-4_6.

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Conference papers on the topic "Radiation therapy planning"

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Suárez, Martín, Luis Manuel Montaño Zentina, and Gerardo Herrera Corral. "Conformai Radiation Therapy, Treatment Planning." In MEDICAL PHYSICS: Sixth Mexican Symposium on Medical Physics. AIP, 2011. http://dx.doi.org/10.1063/1.3682844.

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Suárez, Martín. "Conformal Radiation Therapy, Treatment Planning." In MEDICAL PHYSICS: Sixth Mexican Symposium on Medical Physics. AIP, 2002. http://dx.doi.org/10.1063/1.1512036.

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"X3D IN RADIATION THERAPY PROCEDURE PLANNING." In 3rd International Conference on Web Information Systems and Technologies. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0001292003590364.

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Gopalakrishnan, Girish, and Rakesh Mullick. "Registration-based initialization during radiation therapy planning." In Medical Imaging, edited by Josien P. W. Pluim and Joseph M. Reinhardt. SPIE, 2007. http://dx.doi.org/10.1117/12.710406.

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Riofrio, Daniel, Shuang Luan, Jun Zhou, and Lijun Ma. "Particle swarm optimization for radiation therapy planning." In BCB '15: ACM International Conference on Bioinformatics, Computational Biology and Biomedicine. ACM, 2015. http://dx.doi.org/10.1145/2808719.2808745.

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Cook, L. T., K. R. Lee, E. P. Cytacki, and S. J. Dwyer III. "Three-Dimensional Display Of Radiation Therapy Planning." In OE LASE'87 and EO Imaging Symp (January 1987, Los Angeles), edited by David F. McAllister and Woodrow E. Robbins. SPIE, 1987. http://dx.doi.org/10.1117/12.940136.

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Rosenman, Julian G., Tim Cullip, and Mitchell Soltys. "New visualizations for radiation therapy treatment planning." In Visualization in Biomedical Computing 1994, edited by Richard A. Robb. SPIE, 1994. http://dx.doi.org/10.1117/12.185214.

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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
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Hamza-Lup, Felix G., Larry Davis, and Omar A. Zeidan. "Web-based 3D planning tool for radiation therapy treatment." In the eleventh international conference. ACM Press, 2006. http://dx.doi.org/10.1145/1122591.1122613.

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Boettger, Thomas, Tufve Nyholm, Magnus Karlsson, Chandrasekhar Nunna, and Juan Carlos Celi. "Radiation therapy planning and simulation with magnetic resonance images." In Medical Imaging, edited by Michael I. Miga and Kevin R. Cleary. SPIE, 2008. http://dx.doi.org/10.1117/12.770016.

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Reports on the topic "Radiation therapy planning"

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Little, R. C., K. J. Adams, G. P. Estes, L. S. III Hughes, and L. S. Waters. Prototype demonstration of radiation therapy planning code system. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/369703.

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