Multifractal Analysis of Medical Images

Autores
Silvetti, Andrea; Delrieux, Claudio
Año de publicación
2010
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Automatic segmentation of different types of tissue from medical images of several sensing modalities is of great importance for clinical and research applications. In this paper, we propose a segmentation methodology based on a multifractal approach. We present different alternatives for estimating local fractal exponents in these images, as well as their global distributions –the multifractal sperctrum. We generate new images by means of grayscale mapping of these local an global computed values. The obtained results are quite promising as a tissue differentiation tool, and therefore are suitable to carry out automatic segmentation of abnormalities in medical images.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Medical Imaging
Image Segmentation
Hölder Exponent
Multifractals
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/152717
Acceder
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network_name_str SEDICI (UNLP)
spelling Multifractal Analysis of Medical ImagesSilvetti, AndreaDelrieux, ClaudioCiencias InformáticasMedical ImagingImage SegmentationHölder ExponentMultifractalsAutomatic segmentation of different types of tissue from medical images of several sensing modalities is of great importance for clinical and research applications. In this paper, we propose a segmentation methodology based on a multifractal approach. We present different alternatives for estimating local fractal exponents in these images, as well as their global distributions –the multifractal sperctrum. We generate new images by means of grayscale mapping of these local an global computed values. The obtained results are quite promising as a tissue differentiation tool, and therefore are suitable to carry out automatic segmentation of abnormalities in medical images.Sociedad Argentina de Informática e Investigación Operativa2010info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf1575-1581http://sedici.unlp.edu.ar/handle/10915/152717spainfo:eu-repo/semantics/altIdentifier/url/http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-05.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2806info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:39:22Zoai:sedici.unlp.edu.ar:10915/152717Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:39:22.791SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Multifractal Analysis of Medical Images
title Multifractal Analysis of Medical Images
spellingShingle Multifractal Analysis of Medical Images
Silvetti, Andrea
Ciencias Informáticas
Medical Imaging
Image Segmentation
Hölder Exponent
Multifractals
title_short Multifractal Analysis of Medical Images
title_full Multifractal Analysis of Medical Images
title_fullStr Multifractal Analysis of Medical Images
title_full_unstemmed Multifractal Analysis of Medical Images
title_sort Multifractal Analysis of Medical Images
dc.creator.none.fl_str_mv Silvetti, Andrea
Delrieux, Claudio
author Silvetti, Andrea
author_facet Silvetti, Andrea
Delrieux, Claudio
author_role author
author2 Delrieux, Claudio
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Medical Imaging
Image Segmentation
Hölder Exponent
Multifractals
topic Ciencias Informáticas
Medical Imaging
Image Segmentation
Hölder Exponent
Multifractals
dc.description.none.fl_txt_mv Automatic segmentation of different types of tissue from medical images of several sensing modalities is of great importance for clinical and research applications. In this paper, we propose a segmentation methodology based on a multifractal approach. We present different alternatives for estimating local fractal exponents in these images, as well as their global distributions –the multifractal sperctrum. We generate new images by means of grayscale mapping of these local an global computed values. The obtained results are quite promising as a tissue differentiation tool, and therefore are suitable to carry out automatic segmentation of abnormalities in medical images.
Sociedad Argentina de Informática e Investigación Operativa
description Automatic segmentation of different types of tissue from medical images of several sensing modalities is of great importance for clinical and research applications. In this paper, we propose a segmentation methodology based on a multifractal approach. We present different alternatives for estimating local fractal exponents in these images, as well as their global distributions –the multifractal sperctrum. We generate new images by means of grayscale mapping of these local an global computed values. The obtained results are quite promising as a tissue differentiation tool, and therefore are suitable to carry out automatic segmentation of abnormalities in medical images.
publishDate 2010
dc.date.none.fl_str_mv 2010
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/152717
url http://sedici.unlp.edu.ar/handle/10915/152717
dc.language.none.fl_str_mv spa
language spa
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info:eu-repo/semantics/altIdentifier/issn/1850-2806
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
1575-1581
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
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instname_str Universidad Nacional de La Plata
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institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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