Fat quantification in liver using chemical shift imaging

Detalhes bibliográficos
Autor(a) principal: Ribeiro, Mário J. P.
Data de Publicação: 2013
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/25143
Resumo: MRI is becoming increasingly important in the characterization of NAFLD, which is one of the most relevant di use liver diseases with increasing prevalence in the developed countries. Currently, biopsy is the gold standard in the early identi cation and staging of NAFLD, which is crucial to evaluate the risk of hepatocellular carcinoma development. However, the later is associated with sampling errors and with the development of several post-surgical complications. In this work, we address the problem of quantifying the fat accumulation in the liver using a non-invasive procedure based on chemical shift imaging and two signal models, the magnitude and complex models. In particular, we address the in uence of noise, relaxation e ects and choice of echo times in fat fraction estimation error. Our approach relied in the development of a new acquisition strategy based on the optimal choice of echo times, which were evaluated in simulation studies and later tested with phantoms. A program to perform in-vivo fat quanti cation was implemented, extending our approach to clinical data. Results indicate that good fat fraction estimation can be achieved by correctly choosing the echo times. However, it is extremely di cult to nd a single echo time combination which optimize a large range of fat fractions. Finally, we also demonstrate that the standard clinical protocol has several aws and that a new acquisition protocol must be developed.
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spelling Fat quantification in liver using chemical shift imagingFígado gordoRessonância magnéticaMRI is becoming increasingly important in the characterization of NAFLD, which is one of the most relevant di use liver diseases with increasing prevalence in the developed countries. Currently, biopsy is the gold standard in the early identi cation and staging of NAFLD, which is crucial to evaluate the risk of hepatocellular carcinoma development. However, the later is associated with sampling errors and with the development of several post-surgical complications. In this work, we address the problem of quantifying the fat accumulation in the liver using a non-invasive procedure based on chemical shift imaging and two signal models, the magnitude and complex models. In particular, we address the in uence of noise, relaxation e ects and choice of echo times in fat fraction estimation error. Our approach relied in the development of a new acquisition strategy based on the optimal choice of echo times, which were evaluated in simulation studies and later tested with phantoms. A program to perform in-vivo fat quanti cation was implemented, extending our approach to clinical data. Results indicate that good fat fraction estimation can be achieved by correctly choosing the echo times. However, it is extremely di cult to nd a single echo time combination which optimize a large range of fat fractions. Finally, we also demonstrate that the standard clinical protocol has several aws and that a new acquisition protocol must be developed.2013-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/10316/25143http://hdl.handle.net/10316/25143TID:201534835engRibeiro, Mário J. P. - Fat quantification in liver using chemical shift imaging. Coimbra, 2013. Tese de MestradoRibeiro, Mário J. P.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-01-20T17:49:11Zoai:estudogeral.uc.pt:10316/25143Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:00:29.441570Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Fat quantification in liver using chemical shift imaging
title Fat quantification in liver using chemical shift imaging
spellingShingle Fat quantification in liver using chemical shift imaging
Ribeiro, Mário J. P.
Fígado gordo
Ressonância magnética
title_short Fat quantification in liver using chemical shift imaging
title_full Fat quantification in liver using chemical shift imaging
title_fullStr Fat quantification in liver using chemical shift imaging
title_full_unstemmed Fat quantification in liver using chemical shift imaging
title_sort Fat quantification in liver using chemical shift imaging
author Ribeiro, Mário J. P.
author_facet Ribeiro, Mário J. P.
author_role author
dc.contributor.author.fl_str_mv Ribeiro, Mário J. P.
dc.subject.por.fl_str_mv Fígado gordo
Ressonância magnética
topic Fígado gordo
Ressonância magnética
description MRI is becoming increasingly important in the characterization of NAFLD, which is one of the most relevant di use liver diseases with increasing prevalence in the developed countries. Currently, biopsy is the gold standard in the early identi cation and staging of NAFLD, which is crucial to evaluate the risk of hepatocellular carcinoma development. However, the later is associated with sampling errors and with the development of several post-surgical complications. In this work, we address the problem of quantifying the fat accumulation in the liver using a non-invasive procedure based on chemical shift imaging and two signal models, the magnitude and complex models. In particular, we address the in uence of noise, relaxation e ects and choice of echo times in fat fraction estimation error. Our approach relied in the development of a new acquisition strategy based on the optimal choice of echo times, which were evaluated in simulation studies and later tested with phantoms. A program to perform in-vivo fat quanti cation was implemented, extending our approach to clinical data. Results indicate that good fat fraction estimation can be achieved by correctly choosing the echo times. However, it is extremely di cult to nd a single echo time combination which optimize a large range of fat fractions. Finally, we also demonstrate that the standard clinical protocol has several aws and that a new acquisition protocol must be developed.
publishDate 2013
dc.date.none.fl_str_mv 2013-10
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dc.relation.none.fl_str_mv Ribeiro, Mário J. P. - Fat quantification in liver using chemical shift imaging. Coimbra, 2013. Tese de Mestrado
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