Medical 3D image processing applied to computed tomography and magnetic resonance imaging

Autores
Thomsen, Felix Sebastian Leo
Año de publicación
2017
Idioma
inglés
Tipo de recurso
tesis doctoral
Estado
versión aceptada
Colaborador/a o director/a de tesis
Delrieux, Claudio Augusto
Descripción
Existing microstructure parameters of computed tomography (CT) are able to compute architectural properties of the bone from ex-situ and ex-vivo scans while they are highly affected by the issues of noise and low resolution when applied to clinical in-vivo imaging. A set of improvements of the standard workflow for the quantitative computation of micro-structure from clinical in-vivo scans is proposed in this thesis. Robust methods are proposed (1) for the calibration of density values, (2) the binarization into bone and marrow phase, (3) fuzzy skeletonization and (4) the calibration of the CT volumes in particular for the computation of micro-structural parameters. Furthermore, novel algorithms for the computation of rod-volume fraction with 3D rose diagrams and fractal approaches are proposed and the application of local texture operators to diffusion tensor imaging is proposed. Finally an existing computer program for the application in radiology departments, Structural Insight, was improved and largely extended. In particular the methods of the microstructural calibration, the fractal and the texture operators showed significant improvements of accuracy and precision for the prediction of fracture risk and the quantitative assessment of the progress of Alzheimer's disease, in comparison to existing state-of-the art methods. The methods were tested on artificial and in-vitro data and as well on real-world computed tomography and magnetic resonance imaging (MRI) studies. The proposed novel methods improve the computation of bone characteristics from in-vivo CT and MRI in particular if the methods are combined with each other. In consequence, this allows to assess more information from existing data or to conduct studies with less ray exposure and regarding the MRI method in shorter time than nowadays required.
Fil: Thomsen, Felix Sebastian Leo. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina
Materia
Ingeniería
Computed tomography
Micro-structural parameters
Vertebra
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/4.0/
Repositorio
Repositorio Institucional Digital de la Universidad Nacional del Sur (RID-UNS)
Institución
Universidad Nacional del Sur
OAI Identificador
oai:repositorio.bc.uns.edu.ar:123456789/3414

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network_acronym_str RID-UNS
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network_name_str Repositorio Institucional Digital de la Universidad Nacional del Sur (RID-UNS)
spelling Medical 3D image processing applied to computed tomography and magnetic resonance imagingThomsen, Felix Sebastian LeoIngenieríaComputed tomographyMicro-structural parametersVertebraExisting microstructure parameters of computed tomography (CT) are able to compute architectural properties of the bone from ex-situ and ex-vivo scans while they are highly affected by the issues of noise and low resolution when applied to clinical in-vivo imaging. A set of improvements of the standard workflow for the quantitative computation of micro-structure from clinical in-vivo scans is proposed in this thesis. Robust methods are proposed (1) for the calibration of density values, (2) the binarization into bone and marrow phase, (3) fuzzy skeletonization and (4) the calibration of the CT volumes in particular for the computation of micro-structural parameters. Furthermore, novel algorithms for the computation of rod-volume fraction with 3D rose diagrams and fractal approaches are proposed and the application of local texture operators to diffusion tensor imaging is proposed. Finally an existing computer program for the application in radiology departments, Structural Insight, was improved and largely extended. In particular the methods of the microstructural calibration, the fractal and the texture operators showed significant improvements of accuracy and precision for the prediction of fracture risk and the quantitative assessment of the progress of Alzheimer's disease, in comparison to existing state-of-the art methods. The methods were tested on artificial and in-vitro data and as well on real-world computed tomography and magnetic resonance imaging (MRI) studies. The proposed novel methods improve the computation of bone characteristics from in-vivo CT and MRI in particular if the methods are combined with each other. In consequence, this allows to assess more information from existing data or to conduct studies with less ray exposure and regarding the MRI method in shorter time than nowadays required.Fil: Thomsen, Felix Sebastian Leo. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; ArgentinaDelrieux, Claudio Augusto2017-03-07info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06info:ar-repo/semantics/tesisDoctoralapplication/pdfhttp://repositoriodigital.uns.edu.ar/handle/123456789/3414enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/4.0/reponame:Repositorio Institucional Digital de la Universidad Nacional del Sur (RID-UNS)instname:Universidad Nacional del Sur2025-09-04T09:44:49Zoai:repositorio.bc.uns.edu.ar:123456789/3414instacron:UNSInstitucionalhttp://repositoriodigital.uns.edu.ar/Universidad públicaNo correspondehttp://repositoriodigital.uns.edu.ar/oaimesnaola@uns.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:2025-09-04 09:44:49.297Repositorio Institucional Digital de la Universidad Nacional del Sur (RID-UNS) - Universidad Nacional del Surfalse
dc.title.none.fl_str_mv Medical 3D image processing applied to computed tomography and magnetic resonance imaging
title Medical 3D image processing applied to computed tomography and magnetic resonance imaging
spellingShingle Medical 3D image processing applied to computed tomography and magnetic resonance imaging
Thomsen, Felix Sebastian Leo
Ingeniería
Computed tomography
Micro-structural parameters
Vertebra
title_short Medical 3D image processing applied to computed tomography and magnetic resonance imaging
title_full Medical 3D image processing applied to computed tomography and magnetic resonance imaging
title_fullStr Medical 3D image processing applied to computed tomography and magnetic resonance imaging
title_full_unstemmed Medical 3D image processing applied to computed tomography and magnetic resonance imaging
title_sort Medical 3D image processing applied to computed tomography and magnetic resonance imaging
dc.creator.none.fl_str_mv Thomsen, Felix Sebastian Leo
author Thomsen, Felix Sebastian Leo
author_facet Thomsen, Felix Sebastian Leo
author_role author
dc.contributor.none.fl_str_mv Delrieux, Claudio Augusto
dc.subject.none.fl_str_mv Ingeniería
Computed tomography
Micro-structural parameters
Vertebra
topic Ingeniería
Computed tomography
Micro-structural parameters
Vertebra
dc.description.none.fl_txt_mv Existing microstructure parameters of computed tomography (CT) are able to compute architectural properties of the bone from ex-situ and ex-vivo scans while they are highly affected by the issues of noise and low resolution when applied to clinical in-vivo imaging. A set of improvements of the standard workflow for the quantitative computation of micro-structure from clinical in-vivo scans is proposed in this thesis. Robust methods are proposed (1) for the calibration of density values, (2) the binarization into bone and marrow phase, (3) fuzzy skeletonization and (4) the calibration of the CT volumes in particular for the computation of micro-structural parameters. Furthermore, novel algorithms for the computation of rod-volume fraction with 3D rose diagrams and fractal approaches are proposed and the application of local texture operators to diffusion tensor imaging is proposed. Finally an existing computer program for the application in radiology departments, Structural Insight, was improved and largely extended. In particular the methods of the microstructural calibration, the fractal and the texture operators showed significant improvements of accuracy and precision for the prediction of fracture risk and the quantitative assessment of the progress of Alzheimer's disease, in comparison to existing state-of-the art methods. The methods were tested on artificial and in-vitro data and as well on real-world computed tomography and magnetic resonance imaging (MRI) studies. The proposed novel methods improve the computation of bone characteristics from in-vivo CT and MRI in particular if the methods are combined with each other. In consequence, this allows to assess more information from existing data or to conduct studies with less ray exposure and regarding the MRI method in shorter time than nowadays required.
Fil: Thomsen, Felix Sebastian Leo. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina
description Existing microstructure parameters of computed tomography (CT) are able to compute architectural properties of the bone from ex-situ and ex-vivo scans while they are highly affected by the issues of noise and low resolution when applied to clinical in-vivo imaging. A set of improvements of the standard workflow for the quantitative computation of micro-structure from clinical in-vivo scans is proposed in this thesis. Robust methods are proposed (1) for the calibration of density values, (2) the binarization into bone and marrow phase, (3) fuzzy skeletonization and (4) the calibration of the CT volumes in particular for the computation of micro-structural parameters. Furthermore, novel algorithms for the computation of rod-volume fraction with 3D rose diagrams and fractal approaches are proposed and the application of local texture operators to diffusion tensor imaging is proposed. Finally an existing computer program for the application in radiology departments, Structural Insight, was improved and largely extended. In particular the methods of the microstructural calibration, the fractal and the texture operators showed significant improvements of accuracy and precision for the prediction of fracture risk and the quantitative assessment of the progress of Alzheimer's disease, in comparison to existing state-of-the art methods. The methods were tested on artificial and in-vitro data and as well on real-world computed tomography and magnetic resonance imaging (MRI) studies. The proposed novel methods improve the computation of bone characteristics from in-vivo CT and MRI in particular if the methods are combined with each other. In consequence, this allows to assess more information from existing data or to conduct studies with less ray exposure and regarding the MRI method in shorter time than nowadays required.
publishDate 2017
dc.date.none.fl_str_mv 2017-03-07
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_db06
info:ar-repo/semantics/tesisDoctoral
format doctoralThesis
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://repositoriodigital.uns.edu.ar/handle/123456789/3414
url http://repositoriodigital.uns.edu.ar/handle/123456789/3414
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Institucional Digital de la Universidad Nacional del Sur (RID-UNS)
instname:Universidad Nacional del Sur
reponame_str Repositorio Institucional Digital de la Universidad Nacional del Sur (RID-UNS)
collection Repositorio Institucional Digital de la Universidad Nacional del Sur (RID-UNS)
instname_str Universidad Nacional del Sur
repository.name.fl_str_mv Repositorio Institucional Digital de la Universidad Nacional del Sur (RID-UNS) - Universidad Nacional del Sur
repository.mail.fl_str_mv mesnaola@uns.edu.ar
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