Multifractal Analysis of Medical Images

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...

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Autores principales: Silvetti, Andrea, Delrieux, Claudio
Formato: Objeto de conferencia
Lenguaje:Español
Publicado: 2010
Materias:
Ciencias Informáticas
Medical Imaging
Image Segmentation
Hölder Exponent
Multifractals
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/152717
http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-05.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
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spelling I19-R120-10915-1527172023-05-10T20:04:37Z http://sedici.unlp.edu.ar/handle/10915/152717 http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-05.pdf issn:1850-2806 Multifractal Analysis of Medical Images Silvetti, Andrea Delrieux, Claudio 2010 2010 2023-05-10T14:57:33Z es Ciencias Informáticas Medical Imaging Image Segmentation Hölder Exponent Multifractals 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 Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 1575-1581
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ciencias Informáticas
Medical Imaging
Image Segmentation
Hölder Exponent
Multifractals
spellingShingle Ciencias Informáticas
Medical Imaging
Image Segmentation
Hölder Exponent
Multifractals
Silvetti, Andrea
Delrieux, Claudio
Multifractal Analysis of Medical Images
topic_facet Ciencias Informáticas
Medical Imaging
Image Segmentation
Hölder Exponent
Multifractals
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.
format Objeto de conferencia
Objeto de conferencia
author Silvetti, Andrea
Delrieux, Claudio
author_facet Silvetti, Andrea
Delrieux, Claudio
author_sort Silvetti, Andrea
title Multifractal Analysis of Medical Images
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
publishDate 2010
url http://sedici.unlp.edu.ar/handle/10915/152717
http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-05.pdf
work_keys_str_mv AT silvettiandrea multifractalanalysisofmedicalimages
AT delrieuxclaudio multifractalanalysisofmedicalimages
_version_ 1765660140693880832

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