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Adaptive Crisp Active Contour Method for Segmentation and Reconstruction of 3D Lung Structures

by Pedro Pedrosa Rebouc¸as Filho, Roger Moura Sarmento, Paulo C. Cortez, Antˆonio Carlos Da Silva Barros, Victor Hugo C. De Albuquerque
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Number 4
Year of Publication: 2015
Authors: Pedro Pedrosa Rebouc¸as Filho, Roger Moura Sarmento, Paulo C. Cortez, Antˆonio Carlos Da Silva Barros, Victor Hugo C. De Albuquerque
10.5120/19523-1164

Pedro Pedrosa Rebouc¸as Filho, Roger Moura Sarmento, Paulo C. Cortez, Antˆonio Carlos Da Silva Barros, Victor Hugo C. De Albuquerque . Adaptive Crisp Active Contour Method for Segmentation and Reconstruction of 3D Lung Structures. International Journal of Computer Applications. 111, 4 ( February 2015), 1-8. DOI=10.5120/19523-1164

@article{ 10.5120/19523-1164,
author = { Pedro Pedrosa Rebouc¸as Filho, Roger Moura Sarmento, Paulo C. Cortez, Antˆonio Carlos Da Silva Barros, Victor Hugo C. De Albuquerque },
title = { Adaptive Crisp Active Contour Method for Segmentation and Reconstruction of 3D Lung Structures },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 111 },
number = { 4 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume111/number4/19523-1164/ },
doi = { 10.5120/19523-1164 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:46:57.766772+05:30
%A Pedro Pedrosa Rebouc¸as Filho
%A Roger Moura Sarmento
%A Paulo C. Cortez
%A Antˆonio Carlos Da Silva Barros
%A Victor Hugo C. De Albuquerque
%T Adaptive Crisp Active Contour Method for Segmentation and Reconstruction of 3D Lung Structures
%J International Journal of Computer Applications
%@ 0975-8887
%V 111
%N 4
%P 1-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Computing systems have been playing an important role in various medical fields, notably in image diagnosis. Highlighted among the existing exams that allow diagnostic aids and the application of computing systems in parallel is Computed Tomography (CT). This work focuses on the segmentation and reconstruction phases of CT lung images using the Adaptive Crisp Active Contour Model 2D (ACACM) and the OpenGL library to present and analyse the results in three dimensions. The results of the proposed method were compared with those of the 3D Region Growing method and then evaluated by two pulmonologists. The results showed the superiority of the proposed method, thus confirming that that this method could integrate medical diagnostic aid systems in the pulmonology field. Finally, some applications are shown utiizando segmentation and 3D reconstruction proposals demonstrating that the proposed method can be used to aid in medical diagnosis.

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Index Terms

Computer Science
Information Sciences

Keywords

Crisp Active Contour Method Computed Tomography Image Segmentation 3D Reconstruction Lung Structures.

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