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An Automated Preprocessing Method for Diffuse Optical Tomography to Improve Breast Cancer Diagnosis

The ultrasound-guided diffuse optical tomography is a noninvasive imaging technique for breast cancer diagnosis and treatment monitoring. The technique uses a handheld probe capable of providing measurements of multiple wavelengths in a few seconds. These measurements are used to estimate optical ab...

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Detalles Bibliográficos
Autores principales: Althobaiti, Murad, Vavadi, Hamed, Zhu, Quing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6170968/
https://www.ncbi.nlm.nih.gov/pubmed/30278830
http://dx.doi.org/10.1177/1533033818802791
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author Althobaiti, Murad
Vavadi, Hamed
Zhu, Quing
author_facet Althobaiti, Murad
Vavadi, Hamed
Zhu, Quing
author_sort Althobaiti, Murad
collection PubMed
description The ultrasound-guided diffuse optical tomography is a noninvasive imaging technique for breast cancer diagnosis and treatment monitoring. The technique uses a handheld probe capable of providing measurements of multiple wavelengths in a few seconds. These measurements are used to estimate optical absorptions of lesions and calculate the total hemoglobin concentration. Any measurement errors caused by low signal to noise ratio data and/or movements during data acquisition would reduce the accuracy of reconstructed total hemoglobin concentration. In this article, we introduce an automated preprocessing method that combines data collected from multiple sets of lesion measurements of 4 optical wavelengths to detect and correct outliers in the perturbation. Two new measures of correlation between each pair of wavelength measurements and a wavelength consistency index of all reconstructed absorption maps are introduced. For phantom and patients’ data without evidence of measurement errors, the correlation coefficient between each pair of wavelength measurements was above 0.6. However, for patients with measurement errors, the correlation coefficient was much lower. After applying the correction method to 18 patients’ data with measurement errors, the correlation has improved and the wavelength consistency index is in the same range as the cases without wavelength-dependent measurement errors. The results show an improvement in classification of malignant and benign lesions.
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spelling pubmed-61709682018-10-09 An Automated Preprocessing Method for Diffuse Optical Tomography to Improve Breast Cancer Diagnosis Althobaiti, Murad Vavadi, Hamed Zhu, Quing Technol Cancer Res Treat Original Article The ultrasound-guided diffuse optical tomography is a noninvasive imaging technique for breast cancer diagnosis and treatment monitoring. The technique uses a handheld probe capable of providing measurements of multiple wavelengths in a few seconds. These measurements are used to estimate optical absorptions of lesions and calculate the total hemoglobin concentration. Any measurement errors caused by low signal to noise ratio data and/or movements during data acquisition would reduce the accuracy of reconstructed total hemoglobin concentration. In this article, we introduce an automated preprocessing method that combines data collected from multiple sets of lesion measurements of 4 optical wavelengths to detect and correct outliers in the perturbation. Two new measures of correlation between each pair of wavelength measurements and a wavelength consistency index of all reconstructed absorption maps are introduced. For phantom and patients’ data without evidence of measurement errors, the correlation coefficient between each pair of wavelength measurements was above 0.6. However, for patients with measurement errors, the correlation coefficient was much lower. After applying the correction method to 18 patients’ data with measurement errors, the correlation has improved and the wavelength consistency index is in the same range as the cases without wavelength-dependent measurement errors. The results show an improvement in classification of malignant and benign lesions. SAGE Publications 2018-10-03 /pmc/articles/PMC6170968/ /pubmed/30278830 http://dx.doi.org/10.1177/1533033818802791 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Althobaiti, Murad
Vavadi, Hamed
Zhu, Quing
An Automated Preprocessing Method for Diffuse Optical Tomography to Improve Breast Cancer Diagnosis
title An Automated Preprocessing Method for Diffuse Optical Tomography to Improve Breast Cancer Diagnosis
title_full An Automated Preprocessing Method for Diffuse Optical Tomography to Improve Breast Cancer Diagnosis
title_fullStr An Automated Preprocessing Method for Diffuse Optical Tomography to Improve Breast Cancer Diagnosis
title_full_unstemmed An Automated Preprocessing Method for Diffuse Optical Tomography to Improve Breast Cancer Diagnosis
title_short An Automated Preprocessing Method for Diffuse Optical Tomography to Improve Breast Cancer Diagnosis
title_sort automated preprocessing method for diffuse optical tomography to improve breast cancer diagnosis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6170968/
https://www.ncbi.nlm.nih.gov/pubmed/30278830
http://dx.doi.org/10.1177/1533033818802791
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