Extracting information about the rotator cuff from magnetic resonance images using deterministic and random techniques

We consider some methods to extract information about the rotator cuff based on magnetic resonance images; the study aims to define an alternative method of display that might facilitate the detection of partial tears in the supraspinatus tendon. Specifically, we are going to use families of ellipso...

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Detalles Bibliográficos
Autores Principales: de Los Ríos, F. A., Paluszny, M.
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/27715
https://doi.org/10.1155/2015/974562
id ir-10336-27715
recordtype dspace
spelling ir-10336-277152022-05-02T12:37:21Z Extracting information about the rotator cuff from magnetic resonance images using deterministic and random techniques Extraer información sobre el manguito rotador a partir de imágenes de resonancia magnética utilizando técnicas deterministas y aleatorias de Los Ríos, F. A. Paluszny, M. Magnetic resonance Images Human body We consider some methods to extract information about the rotator cuff based on magnetic resonance images; the study aims to define an alternative method of display that might facilitate the detection of partial tears in the supraspinatus tendon. Specifically, we are going to use families of ellipsoidal triangular patches to cover the humerus head near the affected area. These patches are going to be textured and displayed with the information of the magnetic resonance images using the trilinear interpolation technique. For the generation of points to texture each patch, we propose a new method that guarantees the uniform distribution of its points using a random statistical method. Its computational cost, defined as the average computing time to generate a fixed number of points, is significantly lower as compared with deterministic and other standard statistical techniques. 2015-01-12 2020-08-19T14:43:29Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion ISSN: 1748-670X EISSN: 1748-6718 https://repository.urosario.edu.co/handle/10336/27715 https://doi.org/10.1155/2015/974562 eng info:eu-repo/semantics/openAccess application/pdf Hindawi Publishing Corporation instname:Universidad del Rosario
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
topic Magnetic resonance
Images
Human body
spellingShingle Magnetic resonance
Images
Human body
de Los Ríos, F. A.
Paluszny, M.
Extracting information about the rotator cuff from magnetic resonance images using deterministic and random techniques
description We consider some methods to extract information about the rotator cuff based on magnetic resonance images; the study aims to define an alternative method of display that might facilitate the detection of partial tears in the supraspinatus tendon. Specifically, we are going to use families of ellipsoidal triangular patches to cover the humerus head near the affected area. These patches are going to be textured and displayed with the information of the magnetic resonance images using the trilinear interpolation technique. For the generation of points to texture each patch, we propose a new method that guarantees the uniform distribution of its points using a random statistical method. Its computational cost, defined as the average computing time to generate a fixed number of points, is significantly lower as compared with deterministic and other standard statistical techniques.
format Artículo (Article)
author de Los Ríos, F. A.
Paluszny, M.
author_facet de Los Ríos, F. A.
Paluszny, M.
author_sort de Los Ríos, F. A.
title Extracting information about the rotator cuff from magnetic resonance images using deterministic and random techniques
title_short Extracting information about the rotator cuff from magnetic resonance images using deterministic and random techniques
title_full Extracting information about the rotator cuff from magnetic resonance images using deterministic and random techniques
title_fullStr Extracting information about the rotator cuff from magnetic resonance images using deterministic and random techniques
title_full_unstemmed Extracting information about the rotator cuff from magnetic resonance images using deterministic and random techniques
title_sort extracting information about the rotator cuff from magnetic resonance images using deterministic and random techniques
publisher Hindawi Publishing Corporation
publishDate 2015
url https://repository.urosario.edu.co/handle/10336/27715
https://doi.org/10.1155/2015/974562
_version_ 1740172030907514880
score 12,131701