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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2015
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Acceso en línea: | https://repository.urosario.edu.co/handle/10336/27715 https://doi.org/10.1155/2015/974562 |
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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 |
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language |
Inglés (English) |
topic |
Magnetic resonance Images Human body |
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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 |