End-to-end range prediction for heavier ion radiation therapy based on Monte Carlo simulations
Ilustraciones y tablas
- Autores:
-
Ochoa Parra, Luz Anny Pamela
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/80195
- Palabra clave:
- 530 - Física
Medical radiology
Radiología médica
Ions
Iones
Monte carlo method
Método de Montecarlo
Proton therapy
Radiotherapy
Range verification
Prompt gamma rays
Cross section
Proton terapia
Radioterapia
Sección eficaz
Rayos gamma rápidos
Topas
MatRad
FLUKA
- Rights
- openAccess
- License
- Reconocimiento 4.0 Internacional
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| dc.title.eng.fl_str_mv |
End-to-end range prediction for heavier ion radiation therapy based on Monte Carlo simulations |
| dc.title.translated.spa.fl_str_mv |
Predicción del rango en radioterapia con iones pesados usando simulación Monte Carlo |
| title |
End-to-end range prediction for heavier ion radiation therapy based on Monte Carlo simulations |
| spellingShingle |
End-to-end range prediction for heavier ion radiation therapy based on Monte Carlo simulations 530 - Física Medical radiology Radiología médica Ions Iones Monte carlo method Método de Montecarlo Proton therapy Radiotherapy Range verification Prompt gamma rays Cross section Proton terapia Radioterapia Sección eficaz Rayos gamma rápidos Topas MatRad FLUKA |
| title_short |
End-to-end range prediction for heavier ion radiation therapy based on Monte Carlo simulations |
| title_full |
End-to-end range prediction for heavier ion radiation therapy based on Monte Carlo simulations |
| title_fullStr |
End-to-end range prediction for heavier ion radiation therapy based on Monte Carlo simulations |
| title_full_unstemmed |
End-to-end range prediction for heavier ion radiation therapy based on Monte Carlo simulations |
| title_sort |
End-to-end range prediction for heavier ion radiation therapy based on Monte Carlo simulations |
| dc.creator.fl_str_mv |
Ochoa Parra, Luz Anny Pamela |
| dc.contributor.advisor.none.fl_str_mv |
Veloza, Luz Stella Seco, Joao |
| dc.contributor.author.none.fl_str_mv |
Ochoa Parra, Luz Anny Pamela |
| dc.subject.ddc.spa.fl_str_mv |
530 - Física |
| topic |
530 - Física Medical radiology Radiología médica Ions Iones Monte carlo method Método de Montecarlo Proton therapy Radiotherapy Range verification Prompt gamma rays Cross section Proton terapia Radioterapia Sección eficaz Rayos gamma rápidos Topas MatRad FLUKA |
| dc.subject.lemb.none.fl_str_mv |
Medical radiology Radiología médica Ions Iones Monte carlo method Método de Montecarlo |
| dc.subject.proposal.eng.fl_str_mv |
Proton therapy Radiotherapy Range verification Prompt gamma rays Cross section |
| dc.subject.proposal.spa.fl_str_mv |
Proton terapia Radioterapia Sección eficaz Rayos gamma rápidos Topas MatRad |
| dc.subject.proposal.none.fl_str_mv |
FLUKA |
| description |
Ilustraciones y tablas |
| publishDate |
2020 |
| dc.date.issued.none.fl_str_mv |
2020 |
| dc.date.accessioned.none.fl_str_mv |
2021-09-15T13:07:57Z |
| dc.date.available.none.fl_str_mv |
2021-09-15T13:07:57Z |
| dc.type.spa.fl_str_mv |
Trabajo de grado - Maestría |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/masterThesis |
| dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/TM |
| status_str |
acceptedVersion |
| dc.identifier.uri.none.fl_str_mv |
https://repositorio.unal.edu.co/handle/unal/80195 |
| dc.identifier.instname.spa.fl_str_mv |
Universidad Nacional de Colombia |
| dc.identifier.reponame.spa.fl_str_mv |
Repositorio Institucional Universidad Nacional de Colombia |
| dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.unal.edu.co/ |
| url |
https://repositorio.unal.edu.co/handle/unal/80195 https://repositorio.unal.edu.co/ |
| identifier_str_mv |
Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
| dc.relation.references.none.fl_str_mv |
F Albertini, E B Hug, and A J Lomax. Is it necessary to plan with safety margins for actively scanned proton therapy? Physics in Medicine and Biology, 56(14):4399–4413, jun 2011. J. Allison, K. Amako, J. Apostolakis, P. Arce, M. Asai, T. Aso, E. Bagli, A. Bagulya, S. Banerjee, G. Barrand, and et al. Recent developments in geant4. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 835:186–225, Nov 2016. Pedro Andreo. On the clinical spatial resolution achievable with protons and heavier charged particle radiotherapy beams. Physics in Medicine and Biology, 54(11):N205– N215, may 2009. V.S. Barashenkov, F.G. Gereghi, A.S. Iljinov, G.G. Jonsson, and V.D. Toneev. A cascade-evaporation model for photonuclear reactions. Nuclear Physics A, 231(3):462–476, Oct 1974. A. Belhout, J. Kiener, A. Coc, J. Duprat, C. Engrand, C. Fitoussi, M. Gounelle, A. Lefebvre-Schuhl, N. de S ́er ́eville, V. Tatischeff, J.-P. Thibaud, M. 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Annalen der Physik, 397(3):325–400, 1930. J. P. Biersack and J. F. Ziegler. The Stopping and Range of Ions in Solids, page 122–156. Springer Berlin Heidelberg, 1982. M. Blann. Precompound analyses of spectra and yields following nuclear capture of stopped π−. Phys. Rev. C, 28:1648–1662, Oct 1983. F. Bloch. Zur bremsung rasch bewegter teilchen beim durchgang durch materie. Annalen der Physik, 408(3):285–320, 1933. T.T. Bohlen, F. Cerutti, M.P.W. Chin, A. Fass`o, A. Ferrari, P.G. Ortega, A. Mairani, P.R. Sala, G. Smirnov, and V. Vlachoudis. The fluka code: Developments and challenges for high energy and medical applications. Nuclear Data Sheets, 120:211 – 214, 2014. Mark B. Chadwick. Endf nuclear data in the physical, biological, and medical sciences. International Journal of Radiation Biology, 88(1-2):10–14, 2012. A B Clegg, K J Foley, G L Salmon, and R E Segel. Gamma radiation from the medium energy proton bombardment of lithium, beryllium, boron, carbon and nitrogen. 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Evaluation of proton inelastic reaction models in geant4 for prompt gamma production during proton radiotherapy. Physics in Medicine and Biology, 60(19):7617–7635, sep 2015. Bertini H.W. Gabriel T.A. Santoro R.T. Hermann O.W. Larson N.M. Hunt J.M. Hic- 1: a first approach to the calculation of heavy-ion reactions at energies greater than or equal to 50 mev/nucleon. ORNL-TM–4134, 1974. Iwan Kawrakow, Matthias Fippel, and Klaus Friedrich. 3d electron dose calculation using a voxel based monte carlo algorithm (vmc). Medical Physics, 23(4):445–457, Apr 1996. J. Kiener, M. Berheide, N. L. Achouri, A. Boughrara, A. Coc, A. Lefebvre, F. de Oliveira Santos, and Ch. Vieu. γ-ray production by inelastic proton scattering on 16O and 12C. Phys. Rev. C, 58:2174–2179, Oct 1998. J. Kiener, N. de S ́er ́eville, and V. Tatischeff. Shape of the 4.438 mev γ-ray line of 12C from proton and α-particle induced reactions on 12C and 16O. Phys. Rev. C, 64:025803, Jun 2001. Peter K. Kijewski and Bengt E. 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H Rohling, M Priegnitz, S Schoene, A Schumann, W Enghardt, F Hueso-Gonz ́alez, G Pausch, and F Fiedler. Requirements for a compton camera for in vivo range verification of proton therapy. Physics in Medicine and Biology, 62(7):2795–2811, mar 2017. D Sanchez-Parcerisa, M Kondrla, A Shaindlin, and A Carabe. FoCa: a modular treatment planning system for proton radiotherapy with research and educational purposes. Physics in Medicine and Biology, 59(23):7341–7360, nov 2014. [82] Uwe Schneider, Eros Pedroni, and Antony Lomax. The calibration of CT hounsfield units for radiotherapy treatment planning. Physics in Medicine and Biology, 41(1):111– 124, jan 1996. Wilfried Schneider, Thomas Bortfeld, and Wolfgang Schlegel. Correlation between CT numbers and tissue parameters needed for monte carlo simulations of clinical dose distributions. Physics in Medicine and Biology, 45(2):459–478, jan 2000. 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Range uncertainties in proton therapy and the role of monte carlo simulations. Physics in Medicine and Biology, 57(11):R99–R117, May 2012. Andreas Peters. Medical applications – instrumentation and diagnostics, 2020. J. Kiener, M. Berheide, N. L. Achouri, A. Boughrara, A. Coc, A. Lefebvre, F. de Oliveira Santos, and Ch. Vieu. γ-ray production by inelastic proton scattering on 16O and 12C. Phys. Rev. C, 58:2174–2179, Oct 1998. Benzion Kozlovsky, Ronald Murphy, and and Ramaty. Nuclear deexcitation gamma- ray lines from accelerated particle interactions. The Astrophysical Journal Supplement Series, 141:523, 12 2008. R. Ramaty, B. Kozlovsky, and R. E. Lingenfelter. Nuclear gamma-rays from energetic particle interactions. apjs, 40:487–526, July 1979. Hans-Peter Wieser, Eduardo Cisternas, Niklas Wahl, Silke Ulrich, Alexander Stadler, Henning Mescher, Lucas-Raphael Muller, Thomas Klinge, Hubert Gabrys, Lucas Burigo, Andrea Mairani, Swantje Ecker, Benjamin Ackermann, Malte Ellerbrock, Katia Parodi, Oliver Jakel, and Mark Bangert. Development of the open-source dose calculation and optimization toolkit matrad. Medical Physics, 44(6):2556–2568, 2017 J. F. Ziegler. Stopping of energetic light ions in elemental matter. Journal of Applied Physics, 85(3):1249–1272, Feb 1999. |
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Reconocimiento 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Veloza, Luz Stella1c6bc70141c581c586ccdacdd1ce278bSeco, Joao5ff47b0eed312420c3b2e52561cd4df8Ochoa Parra, Luz Anny Pamela5ca7dd48301a99359efc926ca47a35812021-09-15T13:07:57Z2021-09-15T13:07:57Z2020https://repositorio.unal.edu.co/handle/unal/80195Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/Ilustraciones y tablasThe presence of range uncertainties in charged particle therapy with light ions (CPT) requires the employment of safety margins during treatment planning. These affect treatment quality, not allowing to fully exploit the dosimetric potential of CPT. CPT is characterized by an escalation of the dose deposition towards the end of the range of the primary particles followed by a steep decrease to a low-dose tail (Bragg Peak). The dimension of the safety margins can be reduced by adopting novel methods to verify the primary particle ranges in patients. Non-invasive in vivo monitoring can be performed by detecting secondary radiation emitted from the patient after nuclear interactions of the beam with tissue. Among secondary radiation, the gamma de-excitation of nuclei has the favorable properties of an instantaneous emission and a discrete energy spectrum, which allows performing range control through prompt gamma spectroscopy (PGS). Recent studies demonstrated the capabilities of PGS for online range verification for proton beams. Along with the experimental developments, a critical step towards the application of PGS for range control during patient treatments is the implementation of the prompt gamma generation in a treatment planning system. The comparison of the experimental data acquired during the treatment to the predicted spectral features is the fundamental step to achieve absolute range measurements in vivo. The project aimed to obtain a fully integrated method to perform end-to-end range predictions in anthropomorphic phantoms. In the first stage, a Monte Carlo simulation was conducted to obtain the values of the cross-section for 19 prompt gamma-ray lines from proton-nuclear interactions with 16O and 12C. The central part of the project included the implementation of the cross-sections in the research treatment planning system matRad.La presencia de incertidumbres de rango en la terapia de partı́culas cargadas con iones ligeros (CPT) requiere el empleo de márgenes de seguridad durante la planificación del tratamiento. Estos afectan la calidad del tratamiento, no permitiendo aprovechar al máximo el potencial dosimétrico de la CPT. La CPT se caracteriza por una escalada de la deposición de la dosis hacia el final del rango de las partı́culas primarias seguida de una fuerte disminución a una cola de dosis baja (pico de Bragg). La dimensión de los márgenes de seguridad se puede reducir mediante la adopción de métodos novedosos para verificar los rangos de partı́culas primarias en los pacientes. La monitorización in vivo no invasiva se puede realizar detectando la radiación secundaria emitida por el paciente después de las interacciones nucleares del haz con el tejido. Entre las radiaciones secundarias, la desexcitación gamma de núcleos tiene las propiedades favorables de una emisión instantánea y un espectro de energı́a discreto, lo que permite realizar un control de rango mediante espectroscopia gamma rápida (PGS). Estudios recientes demostraron las capacidades de PGS para la verificación del rango en lı́nea para haces de protones. Junto con los desarrollos experimentales, un paso crı́tico hacia la aplicación de PGS para el control de rango durante los tratamientos del paciente es la implementación de la generación rápida de gamma en un sistema de planificación del tratamiento. La comparación de los datos experimentales adquiridos durante el tratamiento con las caracterı́sticas espectrales predichas es el paso fundamental para lograr mediciones de rango absoluto in vivo. El proyecto tenı́a como objetivo obtener un método totalmente integrado para realizar predicciones de rango de extremo a extremo en fantasmas antropomórficos. En la primera etapa, se realizó una simulación de Monte Carlo para obtener los valores de la sección transversal de 19 lı́neas de rayos gamma rápidas de interacciones protón-nuclear con 16 O y 12 C. La parte central del proyecto incluyó la implementación de las secciones transversales en el sistema de planificación de tratamientos matRad. (Texto tomado de la fuente).MaestríaMagíster en Física Médicaxi, 78 páginasapplication/pdfengUniversidad Nacional de ColombiaBogotá - Ciencias - Maestría en Física MédicaDepartamento de FísicaFacultad de CienciasBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá530 - FísicaMedical radiologyRadiología médicaIonsIonesMonte carlo methodMétodo de MontecarloProton therapyRadiotherapyRange verificationPrompt gamma raysCross sectionProton terapiaRadioterapiaSección eficazRayos gamma rápidosTopasMatRadFLUKAEnd-to-end range prediction for heavier ion radiation therapy based on Monte Carlo simulationsPredicción del rango en radioterapia con iones pesados usando simulación Monte CarloTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMF Albertini, E B Hug, and A J Lomax. Is it necessary to plan with safety margins for actively scanned proton therapy? 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Journal of Applied Physics, 85(3):1249–1272, Feb 1999.EstudiantesInvestigadoresPúblico generalLICENSElicense.txtlicense.txttext/plain; charset=utf-83964https://repositorio.unal.edu.co/bitstream/unal/80195/1/license.txtcccfe52f796b7c63423298c2d3365fc6MD51ORIGINAL1018424940.2021.pdf1018424940.2021.pdfTesis de Maestría en Física Médicaapplication/pdf7044956https://repositorio.unal.edu.co/bitstream/unal/80195/2/1018424940.2021.pdf7226af2acbc2870024225592644a5475MD52THUMBNAIL1018424940.2021.pdf.jpg1018424940.2021.pdf.jpgGenerated Thumbnailimage/jpeg4561https://repositorio.unal.edu.co/bitstream/unal/80195/3/1018424940.2021.pdf.jpg52bf17776a0e2a6b44abfc9398f80ed3MD53unal/80195oai:repositorio.unal.edu.co:unal/801952024-07-29 23:12:26.321Repositorio Institucional Universidad Nacional de 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