Cover Image

Cross-sectional area calculation for arbitrary shape in the image using star algorithm with Green's theorem

Calculation of the cross-sectional area is an important diagnostic tool in medical imaging modality. Curvature points arrangement (CPA) is an important step in the calculation, where the Star algorithm had been shown to be effective in segmenting the carotid artery. The algorithm however works under...

Full description

Saved in:
Bibliographic Details
Main Authors: Esmaile, Maher Faik, Marhaban, Mohammad Hamiruce, Mahmud, Rozi, Saripan, M. Iqbal
Format: Article
Language:English
Published: John Wiley & Sons 2013
Online Access:http://psasir.upm.edu.my/id/eprint/28418/1/Cross%20Sectional%20Area%20Calculation%20for%20Arbitrary%20Shape%20in%20the%20Image%20using%20Star%20Algorithm%20with%20Green.pdf
http://psasir.upm.edu.my/id/eprint/28418/
http://onlinelibrary.wiley.com/wol1/doi/10.1002/tee.21886/abstract
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.28418
record_format eprints
spelling my.upm.eprints.284182016-11-16T02:26:53Z http://psasir.upm.edu.my/id/eprint/28418/ Cross-sectional area calculation for arbitrary shape in the image using star algorithm with Green's theorem Esmaile, Maher Faik Marhaban, Mohammad Hamiruce Mahmud, Rozi Saripan, M. Iqbal Calculation of the cross-sectional area is an important diagnostic tool in medical imaging modality. Curvature points arrangement (CPA) is an important step in the calculation, where the Star algorithm had been shown to be effective in segmenting the carotid artery. The algorithm however works under the assumption of circular or ellipsoid shapes, and the ability to determine its center of gravity is done by exploiting the features of equi-space diameter of the circle. In this paper, a method of calculation of the cross-sectional area of an arbitrary shape is discussed. The Star algorithm is modified to arrange the points of the object's edge through the CPA process in order to form a simple closed curve. Several rays are emanated from a point inside the region of interest with different angles to the far points within the segmented area. The cross-sectional area is then calculated by using Green's theorem. To validate the concepts, several regular shaped images with different noise types (Gaussian, speckles, and salt and pepper) and ultrasound images are used in the experiments. The result shows that this method can calculate the cross-sectional area with negligible error for an arbitrary object within the image and with different types of noises. John Wiley & Sons 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28418/1/Cross%20Sectional%20Area%20Calculation%20for%20Arbitrary%20Shape%20in%20the%20Image%20using%20Star%20Algorithm%20with%20Green.pdf Esmaile, Maher Faik and Marhaban, Mohammad Hamiruce and Mahmud, Rozi and Saripan, M. Iqbal (2013) Cross-sectional area calculation for arbitrary shape in the image using star algorithm with Green's theorem. IEEJ Transactions on Electrical and Electronic Engineering, 8 (5). pp. 497-504. ISSN 1931-4973; ESSN: 1931-4981 http://onlinelibrary.wiley.com/wol1/doi/10.1002/tee.21886/abstract 10.1002/tee.21886
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Calculation of the cross-sectional area is an important diagnostic tool in medical imaging modality. Curvature points arrangement (CPA) is an important step in the calculation, where the Star algorithm had been shown to be effective in segmenting the carotid artery. The algorithm however works under the assumption of circular or ellipsoid shapes, and the ability to determine its center of gravity is done by exploiting the features of equi-space diameter of the circle. In this paper, a method of calculation of the cross-sectional area of an arbitrary shape is discussed. The Star algorithm is modified to arrange the points of the object's edge through the CPA process in order to form a simple closed curve. Several rays are emanated from a point inside the region of interest with different angles to the far points within the segmented area. The cross-sectional area is then calculated by using Green's theorem. To validate the concepts, several regular shaped images with different noise types (Gaussian, speckles, and salt and pepper) and ultrasound images are used in the experiments. The result shows that this method can calculate the cross-sectional area with negligible error for an arbitrary object within the image and with different types of noises.
format Article
author Esmaile, Maher Faik
Marhaban, Mohammad Hamiruce
Mahmud, Rozi
Saripan, M. Iqbal
spellingShingle Esmaile, Maher Faik
Marhaban, Mohammad Hamiruce
Mahmud, Rozi
Saripan, M. Iqbal
Cross-sectional area calculation for arbitrary shape in the image using star algorithm with Green's theorem
author_facet Esmaile, Maher Faik
Marhaban, Mohammad Hamiruce
Mahmud, Rozi
Saripan, M. Iqbal
author_sort Esmaile, Maher Faik
title Cross-sectional area calculation for arbitrary shape in the image using star algorithm with Green's theorem
title_short Cross-sectional area calculation for arbitrary shape in the image using star algorithm with Green's theorem
title_full Cross-sectional area calculation for arbitrary shape in the image using star algorithm with Green's theorem
title_fullStr Cross-sectional area calculation for arbitrary shape in the image using star algorithm with Green's theorem
title_full_unstemmed Cross-sectional area calculation for arbitrary shape in the image using star algorithm with Green's theorem
title_sort cross-sectional area calculation for arbitrary shape in the image using star algorithm with green's theorem
publisher John Wiley & Sons
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/28418/1/Cross%20Sectional%20Area%20Calculation%20for%20Arbitrary%20Shape%20in%20the%20Image%20using%20Star%20Algorithm%20with%20Green.pdf
http://psasir.upm.edu.my/id/eprint/28418/
http://onlinelibrary.wiley.com/wol1/doi/10.1002/tee.21886/abstract
_version_ 1643829459292258304
score 13.211869

Similar Items