Design of a Low-Cost Diffuse Optical Mammography System for Biomedical Image Processing in Breast Cancer Diagnosis
Worldwide, breast cancer is the most common type of cancer that mainly affects women. Several diagnosis techniques based on optical instrumentation and image analysis have been developed, and these are commonly used in conjunction with conventional diagnostic devices such as mammographs, ultrasound,...
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MDPI AG
2023-04-01
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author | Josué D. Rivera-Fernández Karen Roa-Tort Suren Stolik Alma Valor Diego A. Fabila-Bustos Gabriela de la Rosa Macaria Hernández-Chávez José M. de la Rosa-Vázquez |
author_facet | Josué D. Rivera-Fernández Karen Roa-Tort Suren Stolik Alma Valor Diego A. Fabila-Bustos Gabriela de la Rosa Macaria Hernández-Chávez José M. de la Rosa-Vázquez |
author_sort | Josué D. Rivera-Fernández |
collection | DOAJ |
description | Worldwide, breast cancer is the most common type of cancer that mainly affects women. Several diagnosis techniques based on optical instrumentation and image analysis have been developed, and these are commonly used in conjunction with conventional diagnostic devices such as mammographs, ultrasound, and magnetic resonance imaging of the breast. The cost of using these instruments is increasing, and developing countries, whose deaths indices due to breast cancer are high, cannot access conventional diagnostic methods and have even less access to newer techniques. Other studies, based on the analysis of images acquired by traditional methods, require high resolutions and knowledge of the origin of the captures in order to avoid errors. For this reason, the design of a low-cost diffuse optical mammography system for biomedical image processing in breast cancer diagnosis is presented. The system combines the acquisition of breast tissue photographs, diffuse optical reflectance (as a biophotonics technique), and the processing of digital images for the study and diagnosis of breast cancer. The system was developed in the form of a medical examination table with a 638 nm red-light source, using light-emitted diode technology (LED) and a low-cost web camera for the acquisition of breast tissue images. The system is automatic, and its control, through a graphical user interface (GUI), saves costs and allows for the subsequent analysis of images using a digital image-processing algorithm. The results obtained allow for the possibility of planning in vivo measurements. In addition, the acquisition of images every 30° around the breast tissue could be used in future research in order to perform a three-dimensional (3D) reconstruction and an analysis of the captures through deep learning techniques. These could be combined with virtual, augmented, or mixed reality environments to predict the position of tumors, increase the likelihood of a correct medical diagnosis, and develop a training system for specialists. Furthermore, the system allows for the possibility to develop analysis of optical characterization for new phantom studies in breast cancer diagnosis through bioimaging techniques. |
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issn | 1424-8220 |
language | English |
last_indexed | 2024-03-11T04:06:59Z |
publishDate | 2023-04-01 |
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series | Sensors |
spelling | doaj.art-9274a9ebdbdf435e9d7ae3e4c9e10ac92023-11-17T23:43:45ZengMDPI AGSensors1424-82202023-04-01239439010.3390/s23094390Design of a Low-Cost Diffuse Optical Mammography System for Biomedical Image Processing in Breast Cancer DiagnosisJosué D. Rivera-Fernández0Karen Roa-Tort1Suren Stolik2Alma Valor3Diego A. Fabila-Bustos4Gabriela de la Rosa5Macaria Hernández-Chávez6José M. de la Rosa-Vázquez7Laboratorio de Optomecatrónica, UPIIH, Instituto Politécnico Nacional, Distrito de Educación, Salud, Ciencia, Tecnología e Innovación, San Agustín Tlaxiaca 42162, MexicoLaboratorio de Optomecatrónica, UPIIH, Instituto Politécnico Nacional, Distrito de Educación, Salud, Ciencia, Tecnología e Innovación, San Agustín Tlaxiaca 42162, MexicoLaboratorio de Biofotónica, ESIME ZAC, Instituto Politécnico Nacional, Ciudad de Mexico 07320, MexicoLaboratorio de Biofotónica, ESIME ZAC, Instituto Politécnico Nacional, Ciudad de Mexico 07320, MexicoLaboratorio de Optomecatrónica, UPIIH, Instituto Politécnico Nacional, Distrito de Educación, Salud, Ciencia, Tecnología e Innovación, San Agustín Tlaxiaca 42162, MexicoHospital de Especialidades del niño y la Mujer Dr. Felipe Nuñez Lara, Santiago de Querétaro 76090, MexicoLaboratorio de Optomecatrónica, UPIIH, Instituto Politécnico Nacional, Distrito de Educación, Salud, Ciencia, Tecnología e Innovación, San Agustín Tlaxiaca 42162, MexicoLaboratorio de Biofotónica, ESIME ZAC, Instituto Politécnico Nacional, Ciudad de Mexico 07320, MexicoWorldwide, breast cancer is the most common type of cancer that mainly affects women. Several diagnosis techniques based on optical instrumentation and image analysis have been developed, and these are commonly used in conjunction with conventional diagnostic devices such as mammographs, ultrasound, and magnetic resonance imaging of the breast. The cost of using these instruments is increasing, and developing countries, whose deaths indices due to breast cancer are high, cannot access conventional diagnostic methods and have even less access to newer techniques. Other studies, based on the analysis of images acquired by traditional methods, require high resolutions and knowledge of the origin of the captures in order to avoid errors. For this reason, the design of a low-cost diffuse optical mammography system for biomedical image processing in breast cancer diagnosis is presented. The system combines the acquisition of breast tissue photographs, diffuse optical reflectance (as a biophotonics technique), and the processing of digital images for the study and diagnosis of breast cancer. The system was developed in the form of a medical examination table with a 638 nm red-light source, using light-emitted diode technology (LED) and a low-cost web camera for the acquisition of breast tissue images. The system is automatic, and its control, through a graphical user interface (GUI), saves costs and allows for the subsequent analysis of images using a digital image-processing algorithm. The results obtained allow for the possibility of planning in vivo measurements. In addition, the acquisition of images every 30° around the breast tissue could be used in future research in order to perform a three-dimensional (3D) reconstruction and an analysis of the captures through deep learning techniques. These could be combined with virtual, augmented, or mixed reality environments to predict the position of tumors, increase the likelihood of a correct medical diagnosis, and develop a training system for specialists. Furthermore, the system allows for the possibility to develop analysis of optical characterization for new phantom studies in breast cancer diagnosis through bioimaging techniques.https://www.mdpi.com/1424-8220/23/9/4390diffuse optical mammography (DOM)biophotonicsoptical bioimagingbreast cancer diagnosisimage processing |
spellingShingle | Josué D. Rivera-Fernández Karen Roa-Tort Suren Stolik Alma Valor Diego A. Fabila-Bustos Gabriela de la Rosa Macaria Hernández-Chávez José M. de la Rosa-Vázquez Design of a Low-Cost Diffuse Optical Mammography System for Biomedical Image Processing in Breast Cancer Diagnosis Sensors diffuse optical mammography (DOM) biophotonics optical bioimaging breast cancer diagnosis image processing |
title | Design of a Low-Cost Diffuse Optical Mammography System for Biomedical Image Processing in Breast Cancer Diagnosis |
title_full | Design of a Low-Cost Diffuse Optical Mammography System for Biomedical Image Processing in Breast Cancer Diagnosis |
title_fullStr | Design of a Low-Cost Diffuse Optical Mammography System for Biomedical Image Processing in Breast Cancer Diagnosis |
title_full_unstemmed | Design of a Low-Cost Diffuse Optical Mammography System for Biomedical Image Processing in Breast Cancer Diagnosis |
title_short | Design of a Low-Cost Diffuse Optical Mammography System for Biomedical Image Processing in Breast Cancer Diagnosis |
title_sort | design of a low cost diffuse optical mammography system for biomedical image processing in breast cancer diagnosis |
topic | diffuse optical mammography (DOM) biophotonics optical bioimaging breast cancer diagnosis image processing |
url | https://www.mdpi.com/1424-8220/23/9/4390 |
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