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Variational model with image denoising fitting term for boundary extraction of breast ultrasound images

A variational model was used to extract or segment the breast ultrasound (BUS) image boundary in order to find a closed curve line of the abnormality region for further diagnosis. A recent selective variational model, termed the Convex Distance Selective Segmentation (CDSS) model, is effective at se...

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Main Authors: Badrulhisam, Nurdina, Ismail, Nurhuda, Jumaat, Abdul Kadir, Maasar, Mohd Azdi, Laham, Mohamed Faris
Format: Article
Language:English
Published: Conscientia Beam 2023
Online Access:http://psasir.upm.edu.my/id/eprint/108463/1/108463.pdf
http://psasir.upm.edu.my/id/eprint/108463/
https://archive.conscientiabeam.com/index.php/76/article/view/3473
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spelling my.upm.eprints.1084632025-01-14T02:11:58Z http://psasir.upm.edu.my/id/eprint/108463/ Variational model with image denoising fitting term for boundary extraction of breast ultrasound images Badrulhisam, Nurdina Ismail, Nurhuda Jumaat, Abdul Kadir Maasar, Mohd Azdi Laham, Mohamed Faris A variational model was used to extract or segment the breast ultrasound (BUS) image boundary in order to find a closed curve line of the abnormality region for further diagnosis. A recent selective variational model, termed the Convex Distance Selective Segmentation (CDSS) model, is effective at segmenting a specific image object. However, the CDSS model has difficulty segmenting noisy images. Unavoidable noise in BUS pictures leads to poor segmentation, as is widely recognized. The objective of this work is to propose a reformulation of the Convex Distance Selective Segmentation (CDSS) model for the purpose of segmenting BUS pictures. Consideration of four distinct image Denoising algorithms—Gaussian filter, Median filter, Wiener filter, and Rudin-OsherFatemi (ROF) algorithm—as the new fitting terms in the CDSS model leads to four variants of modified CDSS models called Modified CDSS based on Gaussian filter (MCDSSG), Modified CDSS based on Median filter (MCDSSM), Modified CDSS based on Wiener filter (MCDSSW) and Modified CDSS based on ROF (MCDSSROF). To solve the modified models, we first derived the associate Euler-Lagrange equation and solved it in Matrix Laboratory (MATLAB) software. Experiments demonstrated that the proposed MCDSSROF model based on the ROF denoising algorithm provided the highest average of Peak-Signal-To-Noise-Ratio (PSNR), Dice, and Jaccard Similarity Coefficients, indicating the highest denoising quality and segmentation accuracy in comparison to other models. Conscientia Beam 2023 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/108463/1/108463.pdf Badrulhisam, Nurdina and Ismail, Nurhuda and Jumaat, Abdul Kadir and Maasar, Mohd Azdi and Laham, Mohamed Faris (2023) Variational model with image denoising fitting term for boundary extraction of breast ultrasound images. Review of Computer Engineering Research, 10 (2). pp. 70-82. ISSN 2410-9142; eISSN: 2412-4281 https://archive.conscientiabeam.com/index.php/76/article/view/3473 10.18488/76.v10i2.3473
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 A variational model was used to extract or segment the breast ultrasound (BUS) image boundary in order to find a closed curve line of the abnormality region for further diagnosis. A recent selective variational model, termed the Convex Distance Selective Segmentation (CDSS) model, is effective at segmenting a specific image object. However, the CDSS model has difficulty segmenting noisy images. Unavoidable noise in BUS pictures leads to poor segmentation, as is widely recognized. The objective of this work is to propose a reformulation of the Convex Distance Selective Segmentation (CDSS) model for the purpose of segmenting BUS pictures. Consideration of four distinct image Denoising algorithms—Gaussian filter, Median filter, Wiener filter, and Rudin-OsherFatemi (ROF) algorithm—as the new fitting terms in the CDSS model leads to four variants of modified CDSS models called Modified CDSS based on Gaussian filter (MCDSSG), Modified CDSS based on Median filter (MCDSSM), Modified CDSS based on Wiener filter (MCDSSW) and Modified CDSS based on ROF (MCDSSROF). To solve the modified models, we first derived the associate Euler-Lagrange equation and solved it in Matrix Laboratory (MATLAB) software. Experiments demonstrated that the proposed MCDSSROF model based on the ROF denoising algorithm provided the highest average of Peak-Signal-To-Noise-Ratio (PSNR), Dice, and Jaccard Similarity Coefficients, indicating the highest denoising quality and segmentation accuracy in comparison to other models.
format Article
author Badrulhisam, Nurdina
Ismail, Nurhuda
Jumaat, Abdul Kadir
Maasar, Mohd Azdi
Laham, Mohamed Faris
spellingShingle Badrulhisam, Nurdina
Ismail, Nurhuda
Jumaat, Abdul Kadir
Maasar, Mohd Azdi
Laham, Mohamed Faris
Variational model with image denoising fitting term for boundary extraction of breast ultrasound images
author_facet Badrulhisam, Nurdina
Ismail, Nurhuda
Jumaat, Abdul Kadir
Maasar, Mohd Azdi
Laham, Mohamed Faris
author_sort Badrulhisam, Nurdina
title Variational model with image denoising fitting term for boundary extraction of breast ultrasound images
title_short Variational model with image denoising fitting term for boundary extraction of breast ultrasound images
title_full Variational model with image denoising fitting term for boundary extraction of breast ultrasound images
title_fullStr Variational model with image denoising fitting term for boundary extraction of breast ultrasound images
title_full_unstemmed Variational model with image denoising fitting term for boundary extraction of breast ultrasound images
title_sort variational model with image denoising fitting term for boundary extraction of breast ultrasound images
publisher Conscientia Beam
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/108463/1/108463.pdf
http://psasir.upm.edu.my/id/eprint/108463/
https://archive.conscientiabeam.com/index.php/76/article/view/3473
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score 13.239859

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