Добірка наукової літератури з теми "Distributions de dose"
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Статті в журналах з теми "Distributions de dose":
Beckett, Craig, and Peter Dickof. "Mapping dose distributions." Medical Physics 25, no. 10 (October 1998): 1944–53. http://dx.doi.org/10.1118/1.598384.
Dutreix, Andree. "3D Dose Distributions." Journal of Medical Physics 11, no. 3 (1986): 166. http://dx.doi.org/10.4103/0971-6203.50340.
Pike, G. Bruce, Ervin B. Podgorsak, Terence M. Peters, Conrado Pla, André Olivier, and Luis Souhami. "Dose distributions in radiosurgery." Medical Physics 17, no. 2 (March 1990): 296–304. http://dx.doi.org/10.1118/1.596508.
Bak, Jino, Jin Hwa Choi, Jae-Sung Kim, and Suk Won Park. "Modified dose difference method for comparing dose distributions." Journal of Applied Clinical Medical Physics 13, no. 2 (March 2012): 73–80. http://dx.doi.org/10.1120/jacmp.v13i2.3616.
Low, Daniel A., Delphine Morele, Philip Chow, Tai H. Dou та Tao Ju. "Does the γ dose distribution comparison technique default to the distance to agreement test in clinical dose distributions?" Medical Physics 40, № 7 (18 червня 2013): 071722. http://dx.doi.org/10.1118/1.4811141.
Vaas, L. H., R. O. Blaauboer, and H. P. Leenhouts. "Radiation Sources, Doses and Dose Distributions in the Netherlands." Radiation Protection Dosimetry 36, no. 2-4 (June 1, 1991): 89–92. http://dx.doi.org/10.1093/oxfordjournals.rpd.a080974.
Vaas, L. H., R. O. Blaauboer, and H. P. Leenhouts. "Radiation Sources, Doses and Dose Distributions in the Netherlands." Radiation Protection Dosimetry 36, no. 2-4 (June 1, 1991): 89–92. http://dx.doi.org/10.1093/rpd/36.2-4.89.
Keall, P., S. Zavgorodni, L. Schmidt, and D. Haskard. "Improving wedged field dose distributions." Physics in Medicine and Biology 42, no. 11 (November 1, 1997): 2183–92. http://dx.doi.org/10.1088/0031-9155/42/11/013.
Cross, W. G., J. Böhm, M. Charles, E. Piesch, and S. M. Seltzer. "6. Calculation of Dose Distributions." Journal of the International Commission on Radiation Units and Measurements os29, no. 1 (January 5, 1997): 18–32. http://dx.doi.org/10.1093/jicru/os29.1.18.
Cross, W. G., J. Böhm, M. Charles, E. Piesch, and S. M. Seltzer. "6. Calculation of Dose Distributions." Reports of the International Commission on Radiation Units and Measurements os-29, no. 1 (January 1997): 18–32. http://dx.doi.org/10.1093/jicru_os29.1.18.
Дисертації з теми "Distributions de dose":
Öström, Linn. "Post-processingof Monte Carlo calculated dose distributions." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-244314.
Denna masteruppsats fokus är på att brusreducera Monte Carlo-beräknade dosdis-tributioner för behandlingsplaner i hjärnstereotaktisk radiokirurgi. Projektets avsikt är att implementera en brusreducerande Autoencoder (DAE) samt undersöka dess brusreducerande egenskaper, när nätverket har tränats på Monte Carlo-beräknade dosdistributioner genererade med få fotonsimulationer. Den brusreducerande Au-toencodern har genomgått övervakad träning, där den lär sig en avbildning mellan brusiga till brusfria distributioner. Frågorna som denna uppsats ämnar besvara är;(i) Kan en brusreducerande Autoencoder användas för att brusreducera Monte Carlo-beräknade dosdistributioner, och därmed förutspå dosen på förhand? Dessutom, (ii) förbättras nätverkets brusreducerande prestanda när ytterligare information angående skottpositionerna tillförs till nätverket? Resultaten i denna undersökning pekade på att nätverket framgångsrikt förutspår dosdistributionerna, baserat på dosdistribu-tioner som simulerats med få fotonsimulationer. I de fall då bruset i indata är väldigt kraftigt lyckas fortfarande nätverket att brusreducera, samt lyckat fylla i data som saknas. Resultaten indikerade att den brusreducerande Autoencodern kunde reduc-era brus i en mängd som kan jämföras med en simulation som gjorts med en faktor 102 fler fotonsimulationer.
Milette, Marie-Pierre. "Direct optimization of 3D dose distributions using collimator rotation." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/274.
Nilsson, Viktor. "Prediction of Dose Probability Distributions Using Mixture Density Networks." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273610.
Under de senaste åren har maskininlärning börjat nyttjas i extern strålbehandlingsplanering. Detta involverar automatisk generering av behandlingsplaner baserade på datortomografibilder och annan rumslig information, såsom placering av tumörer och organ. Nyttan ligger i att avlasta klinisk personal från arbetet med manuellt eller halvmanuellt skapa sådana planer. I stället för att predicera en deterministisk plan finns det stort värde att modellera den stokastiskt, det vill säga predicera en sannolikhetsfördelning av dos utifrån datortomografibilder och konturerade biologiska strukturer. Stokasticiteten som förekommer i strålterapibehandlingsproblemet beror på att en rad olika planer kan vara adekvata för en patient. Den särskilda fördelningen kan betraktas som förekomsten av preferenser bland klinisk personal. Att ha mer information om utbudet av möjliga planer representerat i en modell innebär att det finns mer flexibilitet i utformningen av en slutlig plan. Dessutom kommer modellen att kunna återspegla de potentiellt motstridiga kliniska avvägningarna; dessa kommer påträffas som multimodala fördelningar av dosen i områden där det finns en hög varians. På RaySearch används en probabilistisk random forest för att skapa dessa fördelningar, denna metod är en utökning av den klassiska random forest-algoritmen. En aktuell forskningsriktning är att generera in sannolikhetsfördelningen med hjälp av djupinlärning. Ett oprövat parametriskt tillvägagångssätt för detta är att låta ett lämpligt djupt neuralt nätverk approximera parametrarna för en Gaussisk mixturmodell i varje volymelement. Ett sådant neuralt nätverk är känt som ett mixturdensitetsnätverk. Den här uppsatsen fastställer teoretiska resultat för artificiella neurala nätverk, främst det universella approximationsteoremet, tillämpat på de aktiveringsfunktioner som används i uppsatsen. Den fortsätter sedan att utforska styrkan av djupinlärning i att predicera dosfördelningar, både deterministiskt och stokastiskt. Det primära målet är att undersöka lämpligheten av mixturdensitetsnätverk för stokastisk prediktion. Forskningsfrågan är följande. U-nets och mixturdensitetsnätverk kommer att kombineras för att predicera stokastiska doser. Finns det ett sådant nätverk som är tillräckligt kraftfullt för att upptäcka och modellera bimodalitet? Experimenten och undersökningarna som utförts i denna uppsats visar att det faktiskt finns ett sådant nätverk.
Tozer-Loft, Stephen M. "Dose volume analysis in brachytherapy and stereotactic radiosurgery." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366100.
Fox, Timothy Harold. "Computation and optimization of dose distributions for rotational stereotactic radiosurgery." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/32843.
South, Christopher Peter. "The use of functional imaging to design optimal radiotherapy dose distributions." Thesis, Institute of Cancer Research (University Of London), 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538528.
CECILIO, PAULO J. "Implementacao e aceite de sistema de radioterapia de feixe modulado dinamico com o uso de colimador secundario de multiplas folhas." reponame:Repositório Institucional do IPEN, 2008. http://repositorio.ipen.br:8080/xmlui/handle/123456789/11757.
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Tese (Doutoramento)
IPEN/T
Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP
Rowbottom, Carl Graham. "Optimisation of beam-orientations in conformal radiotherapy treatment planning." Thesis, Institute of Cancer Research (University Of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314088.
Doucet, Robert. "Experimental verification of Monte Carlo calculated dose distributions for clinical electron beams." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=33750.
Hellström, Terese. "Deep-learning based prediction model for dose distributions in lung cancer patients." Thesis, Stockholms universitet, Fysikum, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-196891.
Книги з теми "Distributions de dose":
National Council on Radiation Protection and Measurements. Conceptual basis for calculations of absorbed-dose distributions: Recommendations. Bethesda, MD: National Council on Radiation Protection and Measurements, 1991.
Aydarous, Abdulkadir Sheikh. Development of imaging techniques for determining dose distributions around discrete radioactive particles found in the environment. Birmingham: University of Birmingham, 2003.
A, Kosunen, and Säteilyturvakeskus (Finland), eds. Intercomparison of radiotherapy treatment planning systems using calculated and measured dose distributions for external photon and electron beams. Helsinki, Finland: Finnish Centre for Radiation and Nuclear Safety, 1991.
United States. Food and Drug Administration, ed. Pharmacokinetics: Guidance for repeated dose tissue distribution studies. [Rockville, Md.?]: U.S. Dept. of Health and Human Services, Public Health Service, Food and Drug Administration, 1995.
Mulé, Rosa. Does democracy promote equality?. Luxembourg: LIS, 1998.
Canadian Society of Hospital Pharmacists., ed. Working paper on unit dose-IV additive drug distribution system. Toronto, Ont: Canadian Society of Hospital Pharmacists, 1989.
Shea, John. Does parents' money matter? Cambridge, MA: National Bureau of Economic Research, 1997.
Ramachandran, T. V., of Environmental Assessment Division, Bhabha Atomic Research Centre. and Bhabha Atomic Research Centre, eds. Radon-thoron levels and inhalation dose distribution patterns in Indian dwellings. Mumbai: Bhabha Atomic Research Centre, 2003.
Chmielewski, Andrzej G. Dose distribution effect on optimal geometry for industrial flue gas treatment system. Warszawa: Institute of Nuclear Chemistry and Technology, 1998.
Reece, W. D. SADDE (Scaled Absorbed Dose Distribution Evaluator): A code to generate input for VARSKIN. Washington, DC: Division of Accident Evaluation, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.
Частини книг з теми "Distributions de dose":
Westerly, David, and Moyed Miften. "Quantifying Differences in Dose Distributions." In Clinical 3D Dosimetry in Modern Radiation Therapy, 357–76. Boca Raton : Taylor & Francis, 2017. | Series: Imaging in medical diagnosis and therapy ; 28: CRC Press, 2017. http://dx.doi.org/10.1201/9781315118826-14.
Perucha, M., F. Sánchez-Doblado, A. Leal, M. Rincón, L. Núnez, R. Arráns, E. Carrasco, B. Sánchez-Nieto, J. A. Sánchez-Calzado, and L. Errazquin. "Monte Carlo Dose Distributions for Radiosurgery." In Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications, 561–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-18211-2_89.
Nishio, Teiji, and Aya Nishio-Miyatake. "Visualization of Dose Distributions for Proton." In Image-Based Computer-Assisted Radiation Therapy, 319–54. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2945-5_13.
Pfaender, Mathias, Gerhard Grebe, Julia Ahlswede, Martin Roll, Lutz Lüdemann, Volker Budach, and Reinhard Wurm. "Concave Dose Distributions in Dynamic Arc Radiosurgery." In The Use of Computers in Radiation Therapy, 401–2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59758-9_152.
Mavroidis, P., B. Costa Ferreira, N. Papanikolaou, R. Svensson, B. K. Lind, and A. Brahme. "Radiobiological analysis of planned and delivered IMRT dose distributions." In IFMBE Proceedings, 381–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03474-9_107.
Reft, Chester. "Point Detectors for Determining and Verifying 3D Dose Distributions." In Clinical 3D Dosimetry in Modern Radiation Therapy, 79–98. Boca Raton : Taylor & Francis, 2017. | Series: Imaging in medical diagnosis and therapy ; 28: CRC Press, 2017. http://dx.doi.org/10.1201/9781315118826-4.
Kortesniemi, Mika, Antti Kosunen, Carita Aschan, Tom Serén, Petri Kotiluoto, Matti Toivonen, Petteri Välimäki, Tiina Seppälä, Iiro Auterinen, and Sauli Savolainen. "Measurements of Phantom Dose Distributions at the Finnish BNCT Facility." In Frontiers in Neutron Capture Therapy, 659–64. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1285-1_95.
Marks, Lawrence B. "Radiosurgery Dose Distributions: Theoretical Impact of Inhomogeneities on Lesion Control." In Advances in Radiosurgery, 13–17. Vienna: Springer Vienna, 1994. http://dx.doi.org/10.1007/978-3-7091-9371-6_4.
Becker, G., R. Lohrum, T. Werner, J. Bürkelbach, G. Nemeth, R. Boesecke, W. Schlegel, and W. J. Lorenz. "Presentation and Evaluation of 3D Dose Distributions in Radiotherapy Planning." In CAR’89 Computer Assisted Radiology / Computergestützte Radiologie, 254–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52311-3_45.
Nguyen, Dan, Azar Sadeghnejad Barkousaraie, Chenyang Shen, Xun Jia, and Steve Jiang. "Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning." In Lecture Notes in Computer Science, 59–67. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32226-7_7.
Тези доповідей конференцій з теми "Distributions de dose":
Oldham, Mark, Leonard Kim, and Geoffrey Hugo. "Optical-CT imaging of complex 3D dose distributions." In Medical Imaging, edited by Michael J. Flynn. SPIE, 2005. http://dx.doi.org/10.1117/12.595525.
Ávila-Rodrı́guez, M. A. "Experimental measurements of spatial dose distributions in radiosurgery treatments." In MEDICAL PHYSICS: Fifth Mexican Symposium. AIP, 2001. http://dx.doi.org/10.1063/1.1420475.
Zhou, Chuanyu. "Computational determination of absorbed dose distributions from gamma ray sources." In The 27th annual review of progress in quantitative nondestructive evaluation. AIP, 2001. http://dx.doi.org/10.1063/1.1373803.
Cucinotta, Francis A., Robert Katz, John W. Wilson, and Rajendra R. Dubey. "Radial dose distributions in the delta-ray theory of track structure." In Two−center effects in ion−atom collisions: A symposium in honor of M. Eugene Rudd. AIP, 1996. http://dx.doi.org/10.1063/1.50083.
Diederich, Chris J., William H. Nau, Frank Kleinstueck, Jeff Lotz, and David Bradford. "IDTT therapy in cadaveric lumbar spine: temperature and thermal dose distributions." In BiOS 2001 The International Symposium on Biomedical Optics, edited by Thomas P. Ryan. SPIE, 2001. http://dx.doi.org/10.1117/12.427849.
Brynkevich, A. I., M. N. Piatkevich, and E. V. Titovich. "CRITERIA FOR EVALUATION OF DOSIMETRIC VERIFICATION OF RADIOTHERAPY HIGH-TECH TREATMENT PLANS FOR CANCER PATIENTS." In SAKHAROV READINGS 2021: ENVIRONMENTAL PROBLEMS OF THE XXI CENTURY. International Sakharov Environmental Institute of Belarusian State University, 2021. http://dx.doi.org/10.46646/sakh-2021-2-252-255.
Almaraz, S. "Dose distributions in prostate brachytherapy: comparison between Sievert and Monte Carlo methods." In MEDICAL PHYSICS: Seventh Mexican Symposium on Medical Physics. AIP, 2003. http://dx.doi.org/10.1063/1.1615110.
Lee, Tzu-Cheng, Ruoqiao Zhang, Adam M. Alessio, Lin Fu, Bruno De Man, and Paul E. Kinahan. "Statistical distributions of ultra-low dose CT sinograms and their fundamental limits." In SPIE Medical Imaging, edited by Thomas G. Flohr, Joseph Y. Lo, and Taly Gilat Schmidt. SPIE, 2017. http://dx.doi.org/10.1117/12.2254375.
Zhou, Chuanyu. "Computational determination of absorbed dose distributions from multiple volumetric gamma ray sources." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2002. http://dx.doi.org/10.1063/1.1472852.
Góes, Daniel A., and Nelson D. A. Mascarenhas. "Low-Dose Computed Tomography Filtering Using Geodesic Distances." In Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/sibgrapi.est.2020.12983.
Звіти організацій з теми "Distributions de dose":
Napier, B. A., W. T. Farris, and J. C. Simpson. Determination of dose distributions and parameter sensitivity. Office of Scientific and Technical Information (OSTI), December 1992. http://dx.doi.org/10.2172/7062146.
Napier, B. A., W. T. Farris, and J. C. Simpson. Determination of dose distributions and parameter sensitivity. Hanford Environmental Dose Reconstruction Project; dose code recovery activities; Calculation 005. Office of Scientific and Technical Information (OSTI), December 1992. http://dx.doi.org/10.2172/10116712.
Rakhno, Igor, and Igor Tropin. Accident Scenarios for IOTA Ring and Dose Distributions Calculated with MARS15 Code. Office of Scientific and Technical Information (OSTI), June 2018. http://dx.doi.org/10.2172/1469001.
Kamboj, S., C. Yu, and J. Rabovsky. Potential dose distributions at proposed surface radioactvity clearance levels resulting from occupational scenarios. Office of Scientific and Technical Information (OSTI), August 2011. http://dx.doi.org/10.2172/1021328.
Wilson, W. E., and W. D. Jr Reece. Calculation of percentile-distance ratios and scaled absorbed-dose distributions for 0. 05- to 30-keV primary electrons. Office of Scientific and Technical Information (OSTI), October 1991. http://dx.doi.org/10.2172/6040610.
Awschalom, M., and R. K. T. Haken. Dependence of charge collection distributions and dose on the gas type filling the ionization chamber for a p(66)Be(49) clinical neutron beam. Office of Scientific and Technical Information (OSTI), January 1985. http://dx.doi.org/10.2172/5345986.
Awschalom, Miguel, and R. Ten Haken. Dependence of Charge Collection Distributions and Dose of the Gas Type Filling the Ionization Chamber for a p(66)-Be(49) Clinical Neutron Beam. Office of Scientific and Technical Information (OSTI), January 1985. http://dx.doi.org/10.2172/1156255.
Schimmel, J. G., and D. M. Beck. Milk production and distribution in low-dose counties for the Hanford Thyroid Disease Study. Hanford Environmental Dose Reconstruction Project. Office of Scientific and Technical Information (OSTI), June 1992. http://dx.doi.org/10.2172/10159360.
Deonigi, D. E., D. M. Anderson, and G. L. Wilfert. Commercial milk distribution profiles and production locations. Hanford Environmental Dose Reconstruction Project. Office of Scientific and Technical Information (OSTI), April 1994. http://dx.doi.org/10.2172/10153894.
Verma, Monika, Thomas Hertel, and Paul Preckel. Predicting Within Country Household Food Expenditure Variation Using International Cross-Section Estimates. GTAP Working Paper, September 2009. http://dx.doi.org/10.21642/gtap.wp57.