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
- Institución
- Universidad Nacional del Sur
- OAI Identificador
- oai:repositorio.bc.uns.edu.ar:123456789/3414
Ver los metadatos del registro completo
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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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1842341320140521472 |
score |
12.623145 |