Obtenção de volumes tumorais em pilhas de imagens PET usando técnicas de segmentação de imagens coloridas

This work is demonstrated the step by step how to segment color images on the thoracic region of an adult in order to separate the tumor volume at present same conditions without significantly changing the values of R components (Red), G (Green) and B (Blue) color of the pixels . For information all...

Full description

Saved in:
Bibliographic Details
Main Authors: Jose Wilson Vieira, Igor Fagner Vieira, Leanderson Pereira Cordeiro, Ferdinand Jesus Lopes Filho, Fernando Roberto de Andrade Lima
Format: Article
Language:English
Published: Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR) 2015-05-01
Series:Brazilian Journal of Radiation Sciences
Subjects:
Online Access:https://bjrs.org.br/revista/index.php/REVISTA/article/view/165
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850102771280248832
author Jose Wilson Vieira
Igor Fagner Vieira
Leanderson Pereira Cordeiro
Ferdinand Jesus Lopes Filho
Fernando Roberto de Andrade Lima
author_facet Jose Wilson Vieira
Igor Fagner Vieira
Leanderson Pereira Cordeiro
Ferdinand Jesus Lopes Filho
Fernando Roberto de Andrade Lima
author_sort Jose Wilson Vieira
collection DOAJ
description This work is demonstrated the step by step how to segment color images on the thoracic region of an adult in order to separate the tumor volume at present same conditions without significantly changing the values of R components (Red), G (Green) and B (Blue) color of the pixels . For information allowing build color map you need to segment and classify at appropriate intervals the colors present in the images. The used segmentation technique is to select a small rectangle with color samples of a given region and then erase with a specific color called "rubber" the other regions of the image. The tumor region was segmented into one of the images available and the procedure is shown in the tutorial format. All necessary computational tools have been implemented in DIP (Digital Image Processing), software developed by the authors. The results obtained besides permit the construction of the color map of the distribution of activity in PET images concentration will also be useful in future studies to insert tumors in voxel phantoms for the purpose of carrying out dosimetry evaluations.   Palavras-chave: segmentação, imagens PET, processamento de imagens
format Article
id doaj-art-8619d171a4ed4e1391e933b3b6e09501
institution DOAJ
issn 2319-0612
language English
publishDate 2015-05-01
publisher Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR)
record_format Article
series Brazilian Journal of Radiation Sciences
spelling doaj-art-8619d171a4ed4e1391e933b3b6e095012025-08-20T02:39:41ZengBrazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR)Brazilian Journal of Radiation Sciences2319-06122015-05-0131A (Suppl.)10.15392/bjrs.v3i1A.165128Obtenção de volumes tumorais em pilhas de imagens PET usando técnicas de segmentação de imagens coloridasJose Wilson VieiraIgor Fagner VieiraLeanderson Pereira CordeiroFerdinand Jesus Lopes FilhoFernando Roberto de Andrade LimaThis work is demonstrated the step by step how to segment color images on the thoracic region of an adult in order to separate the tumor volume at present same conditions without significantly changing the values of R components (Red), G (Green) and B (Blue) color of the pixels . For information allowing build color map you need to segment and classify at appropriate intervals the colors present in the images. The used segmentation technique is to select a small rectangle with color samples of a given region and then erase with a specific color called "rubber" the other regions of the image. The tumor region was segmented into one of the images available and the procedure is shown in the tutorial format. All necessary computational tools have been implemented in DIP (Digital Image Processing), software developed by the authors. The results obtained besides permit the construction of the color map of the distribution of activity in PET images concentration will also be useful in future studies to insert tumors in voxel phantoms for the purpose of carrying out dosimetry evaluations.   Palavras-chave: segmentação, imagens PET, processamento de imagenshttps://bjrs.org.br/revista/index.php/REVISTA/article/view/165segmetationpet imagesimage processing
spellingShingle Jose Wilson Vieira
Igor Fagner Vieira
Leanderson Pereira Cordeiro
Ferdinand Jesus Lopes Filho
Fernando Roberto de Andrade Lima
Obtenção de volumes tumorais em pilhas de imagens PET usando técnicas de segmentação de imagens coloridas
Brazilian Journal of Radiation Sciences
segmetation
pet images
image processing
title Obtenção de volumes tumorais em pilhas de imagens PET usando técnicas de segmentação de imagens coloridas
title_full Obtenção de volumes tumorais em pilhas de imagens PET usando técnicas de segmentação de imagens coloridas
title_fullStr Obtenção de volumes tumorais em pilhas de imagens PET usando técnicas de segmentação de imagens coloridas
title_full_unstemmed Obtenção de volumes tumorais em pilhas de imagens PET usando técnicas de segmentação de imagens coloridas
title_short Obtenção de volumes tumorais em pilhas de imagens PET usando técnicas de segmentação de imagens coloridas
title_sort obtencao de volumes tumorais em pilhas de imagens pet usando tecnicas de segmentacao de imagens coloridas
topic segmetation
pet images
image processing
url https://bjrs.org.br/revista/index.php/REVISTA/article/view/165
work_keys_str_mv AT josewilsonvieira obtencaodevolumestumoraisempilhasdeimagenspetusandotecnicasdesegmentacaodeimagenscoloridas
AT igorfagnervieira obtencaodevolumestumoraisempilhasdeimagenspetusandotecnicasdesegmentacaodeimagenscoloridas
AT leandersonpereiracordeiro obtencaodevolumestumoraisempilhasdeimagenspetusandotecnicasdesegmentacaodeimagenscoloridas
AT ferdinandjesuslopesfilho obtencaodevolumestumoraisempilhasdeimagenspetusandotecnicasdesegmentacaodeimagenscoloridas
AT fernandorobertodeandradelima obtencaodevolumestumoraisempilhasdeimagenspetusandotecnicasdesegmentacaodeimagenscoloridas