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GATE Model of a SPECT-CT equipment for breast cancer diagnosis

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Resumo:Dedicated imaging systems for breast cancer imaging have been comprehensively studied over the past decade. However, since they comprise only one imaging modality these systems are only able to provide either anatomical or functional information of the object of interest. The aim of this work was to simulate and evaluate the implementation of a dedicated system that would be able to extract information regarding both systems in order to provide a complementary diagnostic tool which could be used in inconclusive diagnosis cases. The proposed solution was to develop two dedicated systems. A dedicated breast computed tomography (DBCT) system that would provide anatomical information and a dedicated single photon emission mammography (SPEM), using convergent collimators, that would retrieve functional information. To create a computer model of this multimodality system, Monte Carlo (MC) simulations were conducted with Geant4 Application for Emission Tomography (GATE) using a simple breast cylindrical phantom with 35 mm radius and 150 mm height, which had 5 mm radius spherical masses composed of aluminum inside it. For DBCT, the MC simulations were acquired with a PaxScan A® 2520D/CL Amorphous Silicon Digital X-Ray Imager with total dimensions of 192x242x4 mm and 0.508x0.508x4 mm pixels, over 16 projections covering 180º of the phantom, extended to 360º exploiting its cylindrical symmetry. Inside the phantom were placed 5 tumour masses equidistantly along two axis with a tumour mass at the center. For SPECT, the MC simulations were performed using a dual-head SPECT scanner designed by Dr. Ricardo Capote with 64.0x151.2x188.5 mm as dimensions with pixelated LYSO crystals of 20x2x2 mm and convergent collimators with the same phantom, but with the same 5 mm radius tumour masses placed solely in the x axis. The MC simulations were conducted in a computer cluster with 4 executions machines. The projections resultant of the simulations were reconstructed using different algorithms. For DBCT it was used an analytical method of filtered backprojection (FBP) and for SPEM it was used an iterative maximum likelihood expectation maximization (MLEM) algorithm. To validate the results two non-absolut metrics were calculated to make a relative evaluation of the image quality results. These metrics were only applied to DBCT, since the results obtained for SPEM were not as expected. Contrast and contrast to noise ratio demonstrated that the image quality degrades from the center to the periphery of the DBCT detector. In conclusion, the acquired results demonstrated the feasibility of breast dedicated systems to, especially for the DBCT system, which yielded the best results, but further development need to be pursued in order to take the most potential of the developed systems which have potential for being used in future studies with more complex and realistic conditions and voxelised phantoms.
Autores principais:Monteiro, André Miguel Martins Costa Correia
Assunto:Cancro da mama Tomografia computorizada Mamogafia por emissão de Fotão Único Reconstrução de imagem Simulações de Monte Carlo Geant4 application for emission tomography Filtered back projection Maximum likelihood expectation maximization Contraste Rácio entre o contraste e o ruído Teses de mestrado - 2016
Ano:2016
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade de Lisboa
Idioma:inglês
Origem:Repositório da Universidade de Lisboa
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author Monteiro, André Miguel Martins Costa Correia
author_facet Monteiro, André Miguel Martins Costa Correia
Monteiro, André Miguel Martins Costa Correia
author_role author
contributor_name_str_mv Matela, Nuno Miguel de Pinto Lobo e, 1978-
Almeida, Pedro Miguel Dinis de, 1968-
Repositório Científico de Acesso Aberto da ULisboa
country_str PT
creators_json_str [{\"Person.name\":\"Monteiro, André Miguel Martins Costa Correia\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Matela, Nuno Miguel de Pinto Lobo e, 1978-
Almeida, Pedro Miguel Dinis de, 1968-
Repositório Científico de Acesso Aberto da ULisboa
datacite.creators.creator.creatorName.fl_str_mv Monteiro, André Miguel Martins Costa Correia
datacite.date.Accepted.fl_str_mv 2016-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2017-01-30T14:43:55Z
datacite.date.embargoed.fl_str_mv 2017-01-30T14:43:55Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Cancro da mama
Tomografia computorizada
Mamogafia por emissão de Fotão Único
Reconstrução de imagem
Simulações de Monte Carlo
Geant4 application for emission tomography
Filtered back projection
Maximum likelihood expectation maximization
Contraste
Rácio entre o contraste e o ruído
Teses de mestrado - 2016
datacite.titles.title.fl_str_mv GATE Model of a SPECT-CT equipment for breast cancer diagnosis
dc.contributor.none.fl_str_mv Matela, Nuno Miguel de Pinto Lobo e, 1978-
Almeida, Pedro Miguel Dinis de, 1968-
Repositório Científico de Acesso Aberto da ULisboa
dc.creator.none.fl_str_mv Monteiro, André Miguel Martins Costa Correia
dc.date.Accepted.fl_str_mv 2016-01-01T00:00:00Z
dc.date.available.fl_str_mv 2017-01-30T14:43:55Z
dc.date.embargoed.fl_str_mv 2017-01-30T14:43:55Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10451/26323
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Cancro da mama
Tomografia computorizada
Mamogafia por emissão de Fotão Único
Reconstrução de imagem
Simulações de Monte Carlo
Geant4 application for emission tomography
Filtered back projection
Maximum likelihood expectation maximization
Contraste
Rácio entre o contraste e o ruído
Teses de mestrado - 2016
dc.title.fl_str_mv GATE Model of a SPECT-CT equipment for breast cancer diagnosis
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_bdcc
description Dedicated imaging systems for breast cancer imaging have been comprehensively studied over the past decade. However, since they comprise only one imaging modality these systems are only able to provide either anatomical or functional information of the object of interest. The aim of this work was to simulate and evaluate the implementation of a dedicated system that would be able to extract information regarding both systems in order to provide a complementary diagnostic tool which could be used in inconclusive diagnosis cases. The proposed solution was to develop two dedicated systems. A dedicated breast computed tomography (DBCT) system that would provide anatomical information and a dedicated single photon emission mammography (SPEM), using convergent collimators, that would retrieve functional information. To create a computer model of this multimodality system, Monte Carlo (MC) simulations were conducted with Geant4 Application for Emission Tomography (GATE) using a simple breast cylindrical phantom with 35 mm radius and 150 mm height, which had 5 mm radius spherical masses composed of aluminum inside it. For DBCT, the MC simulations were acquired with a PaxScan A® 2520D/CL Amorphous Silicon Digital X-Ray Imager with total dimensions of 192x242x4 mm and 0.508x0.508x4 mm pixels, over 16 projections covering 180º of the phantom, extended to 360º exploiting its cylindrical symmetry. Inside the phantom were placed 5 tumour masses equidistantly along two axis with a tumour mass at the center. For SPECT, the MC simulations were performed using a dual-head SPECT scanner designed by Dr. Ricardo Capote with 64.0x151.2x188.5 mm as dimensions with pixelated LYSO crystals of 20x2x2 mm and convergent collimators with the same phantom, but with the same 5 mm radius tumour masses placed solely in the x axis. The MC simulations were conducted in a computer cluster with 4 executions machines. The projections resultant of the simulations were reconstructed using different algorithms. For DBCT it was used an analytical method of filtered backprojection (FBP) and for SPEM it was used an iterative maximum likelihood expectation maximization (MLEM) algorithm. To validate the results two non-absolut metrics were calculated to make a relative evaluation of the image quality results. These metrics were only applied to DBCT, since the results obtained for SPEM were not as expected. Contrast and contrast to noise ratio demonstrated that the image quality degrades from the center to the periphery of the DBCT detector. In conclusion, the acquired results demonstrated the feasibility of breast dedicated systems to, especially for the DBCT system, which yielded the best results, but further development need to be pursued in order to take the most potential of the developed systems which have potential for being used in future studies with more complex and realistic conditions and voxelised phantoms.
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spelling engpt_PTDedicated imaging systems for breast cancer imaging have been comprehensively studied over the past decade. However, since they comprise only one imaging modality these systems are only able to provide either anatomical or functional information of the object of interest. The aim of this work was to simulate and evaluate the implementation of a dedicated system that would be able to extract information regarding both systems in order to provide a complementary diagnostic tool which could be used in inconclusive diagnosis cases. The proposed solution was to develop two dedicated systems. A dedicated breast computed tomography (DBCT) system that would provide anatomical information and a dedicated single photon emission mammography (SPEM), using convergent collimators, that would retrieve functional information. To create a computer model of this multimodality system, Monte Carlo (MC) simulations were conducted with Geant4 Application for Emission Tomography (GATE) using a simple breast cylindrical phantom with 35 mm radius and 150 mm height, which had 5 mm radius spherical masses composed of aluminum inside it. For DBCT, the MC simulations were acquired with a PaxScan A® 2520D/CL Amorphous Silicon Digital X-Ray Imager with total dimensions of 192x242x4 mm and 0.508x0.508x4 mm pixels, over 16 projections covering 180º of the phantom, extended to 360º exploiting its cylindrical symmetry. Inside the phantom were placed 5 tumour masses equidistantly along two axis with a tumour mass at the center. For SPECT, the MC simulations were performed using a dual-head SPECT scanner designed by Dr. Ricardo Capote with 64.0x151.2x188.5 mm as dimensions with pixelated LYSO crystals of 20x2x2 mm and convergent collimators with the same phantom, but with the same 5 mm radius tumour masses placed solely in the x axis. The MC simulations were conducted in a computer cluster with 4 executions machines. The projections resultant of the simulations were reconstructed using different algorithms. For DBCT it was used an analytical method of filtered backprojection (FBP) and for SPEM it was used an iterative maximum likelihood expectation maximization (MLEM) algorithm. To validate the results two non-absolut metrics were calculated to make a relative evaluation of the image quality results. These metrics were only applied to DBCT, since the results obtained for SPEM were not as expected. Contrast and contrast to noise ratio demonstrated that the image quality degrades from the center to the periphery of the DBCT detector. In conclusion, the acquired results demonstrated the feasibility of breast dedicated systems to, especially for the DBCT system, which yielded the best results, but further development need to be pursued in order to take the most potential of the developed systems which have potential for being used in future studies with more complex and realistic conditions and voxelised phantoms.application/pdfpt_PTGATE Model of a SPECT-CT equipment for breast cancer diagnosisMonteiro, André Miguel Martins Costa CorreiaMatela, Nuno Miguel de Pinto Lobo e, 1978-Almeida, Pedro Miguel Dinis de, 1968-HostingInstitutionOrganizationalRepositório Científico de Acesso Aberto da ULisboae-mailmailto:repositorio@reitoria.ulisboa.ptrepositorio@reitoria.ulisboa.ptURNurn:tid:2016112522017-01-30T14:43:55Z201620162016-01-01T00:00:00ZHandlehttp://hdl.handle.net/10451/26323http://purl.org/coar/access_right/c_abf2open accessCancro da mamaTomografia computorizadaMamogafia por emissão de Fotão ÚnicoReconstrução de imagemSimulações de Monte CarloGeant4 application for emission tomographyFiltered back projectionMaximum likelihood expectation maximizationContrasteRácio entre o contraste e o ruídoTeses de mestrado - 20162852250 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesishttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ulisboa.pt/bitstreams/66662921-f390-492d-8f94-02a3728c4946/download
spellingShingle GATE Model of a SPECT-CT equipment for breast cancer diagnosis
GATE Model of a SPECT-CT equipment for breast cancer diagnosis
Monteiro, André Miguel Martins Costa Correia
Cancro da mama
Tomografia computorizada
Mamogafia por emissão de Fotão Único
Reconstrução de imagem
Simulações de Monte Carlo
Geant4 application for emission tomography
Filtered back projection
Maximum likelihood expectation maximization
Contraste
Rácio entre o contraste e o ruído
Teses de mestrado - 2016
Monteiro, André Miguel Martins Costa Correia
Cancro da mama
Tomografia computorizada
Mamogafia por emissão de Fotão Único
Reconstrução de imagem
Simulações de Monte Carlo
Geant4 application for emission tomography
Filtered back projection
Maximum likelihood expectation maximization
Contraste
Rácio entre o contraste e o ruído
Teses de mestrado - 2016
status SINGLETON
subject.fl_str_mv Cancro da mama
Tomografia computorizada
Mamogafia por emissão de Fotão Único
Reconstrução de imagem
Simulações de Monte Carlo
Geant4 application for emission tomography
Filtered back projection
Maximum likelihood expectation maximization
Contraste
Rácio entre o contraste e o ruído
Teses de mestrado - 2016
title GATE Model of a SPECT-CT equipment for breast cancer diagnosis
title_full GATE Model of a SPECT-CT equipment for breast cancer diagnosis
title_fullStr GATE Model of a SPECT-CT equipment for breast cancer diagnosis
GATE Model of a SPECT-CT equipment for breast cancer diagnosis
title_full_unstemmed GATE Model of a SPECT-CT equipment for breast cancer diagnosis
GATE Model of a SPECT-CT equipment for breast cancer diagnosis
title_short GATE Model of a SPECT-CT equipment for breast cancer diagnosis
title_sort GATE Model of a SPECT-CT equipment for breast cancer diagnosis
topic Cancro da mama
Tomografia computorizada
Mamogafia por emissão de Fotão Único
Reconstrução de imagem
Simulações de Monte Carlo
Geant4 application for emission tomography
Filtered back projection
Maximum likelihood expectation maximization
Contraste
Rácio entre o contraste e o ruído
Teses de mestrado - 2016
topic_facet Cancro da mama
Tomografia computorizada
Mamogafia por emissão de Fotão Único
Reconstrução de imagem
Simulações de Monte Carlo
Geant4 application for emission tomography
Filtered back projection
Maximum likelihood expectation maximization
Contraste
Rácio entre o contraste e o ruído
Teses de mestrado - 2016
url http://hdl.handle.net/10451/26323
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