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Breast Tumor Detection and Classification Using Intravoxel Incoherent Motion Hyperspectral Imaging Techniques

Breast cancer is a main cause of disease and death for women globally. Because of the limitations of traditional mammography and ultrasonography, magnetic resonance imaging (MRI) has gradually become an important radiological method for breast cancer assessment over the past decades. MRI is free of...

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Autores principales: Chan, Si-Wa, Chang, Yung-Chieh, Huang, Po-Wen, Ouyang, Yen-Chieh, Chang, Yu-Tzu, Chang, Ruey-Feng, Chai, Jyh-Wen, Chen, Clayton Chi-Chang, Chen, Hsian-Min, Chang, Chein-I., Lin, Chin-Yao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699322/
https://www.ncbi.nlm.nih.gov/pubmed/31467888
http://dx.doi.org/10.1155/2019/3843295
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author Chan, Si-Wa
Chang, Yung-Chieh
Huang, Po-Wen
Ouyang, Yen-Chieh
Chang, Yu-Tzu
Chang, Ruey-Feng
Chai, Jyh-Wen
Chen, Clayton Chi-Chang
Chen, Hsian-Min
Chang, Chein-I.
Lin, Chin-Yao
author_facet Chan, Si-Wa
Chang, Yung-Chieh
Huang, Po-Wen
Ouyang, Yen-Chieh
Chang, Yu-Tzu
Chang, Ruey-Feng
Chai, Jyh-Wen
Chen, Clayton Chi-Chang
Chen, Hsian-Min
Chang, Chein-I.
Lin, Chin-Yao
author_sort Chan, Si-Wa
collection PubMed
description Breast cancer is a main cause of disease and death for women globally. Because of the limitations of traditional mammography and ultrasonography, magnetic resonance imaging (MRI) has gradually become an important radiological method for breast cancer assessment over the past decades. MRI is free of the problems related to radiation exposure and provides excellent image resolution and contrast. However, a disadvantage is the injection of contrast agent, which is toxic for some patients (such as patients with chronic renal disease or pregnant and lactating women). Recent findings of gadolinium deposits in the brain are also a concern. To address these issues, this paper develops an intravoxel incoherent motion- (IVIM-) MRI-based histogram analysis approach, which takes advantage of several hyperspectral techniques, such as the band expansion process (BEP), to expand a multispectral image to hyperspectral images and create an automatic target generation process (ATGP). After automatically finding suspected targets, further detection was attained by using kernel constrained energy minimization (KCEM). A decision tree and histogram analysis were applied to classify breast tissue via quantitative analysis for detected lesions, which were used to distinguish between three categories of breast tissue: malignant tumors (i.e., central and peripheral zone), cysts, and normal breast tissues. The experimental results demonstrated that the proposed IVIM-MRI-based histogram analysis approach can effectively differentiate between these three breast tissue types.
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spelling pubmed-66993222019-08-29 Breast Tumor Detection and Classification Using Intravoxel Incoherent Motion Hyperspectral Imaging Techniques Chan, Si-Wa Chang, Yung-Chieh Huang, Po-Wen Ouyang, Yen-Chieh Chang, Yu-Tzu Chang, Ruey-Feng Chai, Jyh-Wen Chen, Clayton Chi-Chang Chen, Hsian-Min Chang, Chein-I. Lin, Chin-Yao Biomed Res Int Research Article Breast cancer is a main cause of disease and death for women globally. Because of the limitations of traditional mammography and ultrasonography, magnetic resonance imaging (MRI) has gradually become an important radiological method for breast cancer assessment over the past decades. MRI is free of the problems related to radiation exposure and provides excellent image resolution and contrast. However, a disadvantage is the injection of contrast agent, which is toxic for some patients (such as patients with chronic renal disease or pregnant and lactating women). Recent findings of gadolinium deposits in the brain are also a concern. To address these issues, this paper develops an intravoxel incoherent motion- (IVIM-) MRI-based histogram analysis approach, which takes advantage of several hyperspectral techniques, such as the band expansion process (BEP), to expand a multispectral image to hyperspectral images and create an automatic target generation process (ATGP). After automatically finding suspected targets, further detection was attained by using kernel constrained energy minimization (KCEM). A decision tree and histogram analysis were applied to classify breast tissue via quantitative analysis for detected lesions, which were used to distinguish between three categories of breast tissue: malignant tumors (i.e., central and peripheral zone), cysts, and normal breast tissues. The experimental results demonstrated that the proposed IVIM-MRI-based histogram analysis approach can effectively differentiate between these three breast tissue types. Hindawi 2019-07-28 /pmc/articles/PMC6699322/ /pubmed/31467888 http://dx.doi.org/10.1155/2019/3843295 Text en Copyright © 2019 Si-Wa Chan et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chan, Si-Wa
Chang, Yung-Chieh
Huang, Po-Wen
Ouyang, Yen-Chieh
Chang, Yu-Tzu
Chang, Ruey-Feng
Chai, Jyh-Wen
Chen, Clayton Chi-Chang
Chen, Hsian-Min
Chang, Chein-I.
Lin, Chin-Yao
Breast Tumor Detection and Classification Using Intravoxel Incoherent Motion Hyperspectral Imaging Techniques
title Breast Tumor Detection and Classification Using Intravoxel Incoherent Motion Hyperspectral Imaging Techniques
title_full Breast Tumor Detection and Classification Using Intravoxel Incoherent Motion Hyperspectral Imaging Techniques
title_fullStr Breast Tumor Detection and Classification Using Intravoxel Incoherent Motion Hyperspectral Imaging Techniques
title_full_unstemmed Breast Tumor Detection and Classification Using Intravoxel Incoherent Motion Hyperspectral Imaging Techniques
title_short Breast Tumor Detection and Classification Using Intravoxel Incoherent Motion Hyperspectral Imaging Techniques
title_sort breast tumor detection and classification using intravoxel incoherent motion hyperspectral imaging techniques
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699322/
https://www.ncbi.nlm.nih.gov/pubmed/31467888
http://dx.doi.org/10.1155/2019/3843295
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