Cargando…

Sensitivity Uniformity Ratio as a New Index to Optimize the Scanning Geometry for Fluorescent Molecular Tomography

BACKGROUND: Molecular fluorescence imaging is widely used as a noninvasive method to study the cellular and molecular mechanisms. In the optical imaging system, the sensitivity is the change of the intensity received by the detector for the changed optical characteristics (fluorescence) in each samp...

Descripción completa

Detalles Bibliográficos
Autores principales: Ebrahimpour, Anita, Zakariaee, Seyed Salman, Hejazi, Marjaneh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419568/
https://www.ncbi.nlm.nih.gov/pubmed/30967989
http://dx.doi.org/10.4103/jmss.JMSS_22_18
_version_ 1783403972043735040
author Ebrahimpour, Anita
Zakariaee, Seyed Salman
Hejazi, Marjaneh
author_facet Ebrahimpour, Anita
Zakariaee, Seyed Salman
Hejazi, Marjaneh
author_sort Ebrahimpour, Anita
collection PubMed
description BACKGROUND: Molecular fluorescence imaging is widely used as a noninvasive method to study the cellular and molecular mechanisms. In the optical imaging system, the sensitivity is the change of the intensity received by the detector for the changed optical characteristics (fluorescence) in each sample point. Sensitivity could be considered as a function of imaging geometry. A favor imaging system has a uniform and high-sensitivity coefficient for each point of the sample. In this study, a new parameter was proposed which the optimal angle between the source and detector could be determined based on this parameter. METHODS: For evaluation of the new method, a two-dimensional mesh with a radius of 20 mm and 5133 nodes was built. In each reconstruction, 0.5-mm fluorescence heterogeneity with a contrast-to-purpose ratio of fluorescence yield of 10 was randomly added at different points of the sample. The source and the detector were simulated in different geometric conditions. The calculations were performed using the NIRFAST and MATLAB software. The relationship between mean squared error (MSE) and sensitivity uniformity ratio (SUR) was evaluated using the correlation coefficient. Finally, based on the new index, an optimal geometrical strategy was introduced. RESULTS: There was a negative correlation coefficient (R = −0.78) with the inverse relationship between the SUR and MSE indices. The reconstructed images showed that the better image quality achieved using the optimal geometry for all scanning depths. For the conventional geometry, there is an artifact in the opposite side of the inhomogeneity at the shallow depths, which has been eliminated in the reconstructed images achieved using the optimal geometry. CONCLUSION: The SUR is a powerful computational tool which could be used to determine the optimal angles between the source and detector for each scanning depth.
format Online
Article
Text
id pubmed-6419568
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Medknow Publications & Media Pvt Ltd
record_format MEDLINE/PubMed
spelling pubmed-64195682019-04-09 Sensitivity Uniformity Ratio as a New Index to Optimize the Scanning Geometry for Fluorescent Molecular Tomography Ebrahimpour, Anita Zakariaee, Seyed Salman Hejazi, Marjaneh J Med Signals Sens Original Article BACKGROUND: Molecular fluorescence imaging is widely used as a noninvasive method to study the cellular and molecular mechanisms. In the optical imaging system, the sensitivity is the change of the intensity received by the detector for the changed optical characteristics (fluorescence) in each sample point. Sensitivity could be considered as a function of imaging geometry. A favor imaging system has a uniform and high-sensitivity coefficient for each point of the sample. In this study, a new parameter was proposed which the optimal angle between the source and detector could be determined based on this parameter. METHODS: For evaluation of the new method, a two-dimensional mesh with a radius of 20 mm and 5133 nodes was built. In each reconstruction, 0.5-mm fluorescence heterogeneity with a contrast-to-purpose ratio of fluorescence yield of 10 was randomly added at different points of the sample. The source and the detector were simulated in different geometric conditions. The calculations were performed using the NIRFAST and MATLAB software. The relationship between mean squared error (MSE) and sensitivity uniformity ratio (SUR) was evaluated using the correlation coefficient. Finally, based on the new index, an optimal geometrical strategy was introduced. RESULTS: There was a negative correlation coefficient (R = −0.78) with the inverse relationship between the SUR and MSE indices. The reconstructed images showed that the better image quality achieved using the optimal geometry for all scanning depths. For the conventional geometry, there is an artifact in the opposite side of the inhomogeneity at the shallow depths, which has been eliminated in the reconstructed images achieved using the optimal geometry. CONCLUSION: The SUR is a powerful computational tool which could be used to determine the optimal angles between the source and detector for each scanning depth. Medknow Publications & Media Pvt Ltd 2019 /pmc/articles/PMC6419568/ /pubmed/30967989 http://dx.doi.org/10.4103/jmss.JMSS_22_18 Text en Copyright: © 2019 Journal of Medical Signals & Sensors http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Ebrahimpour, Anita
Zakariaee, Seyed Salman
Hejazi, Marjaneh
Sensitivity Uniformity Ratio as a New Index to Optimize the Scanning Geometry for Fluorescent Molecular Tomography
title Sensitivity Uniformity Ratio as a New Index to Optimize the Scanning Geometry for Fluorescent Molecular Tomography
title_full Sensitivity Uniformity Ratio as a New Index to Optimize the Scanning Geometry for Fluorescent Molecular Tomography
title_fullStr Sensitivity Uniformity Ratio as a New Index to Optimize the Scanning Geometry for Fluorescent Molecular Tomography
title_full_unstemmed Sensitivity Uniformity Ratio as a New Index to Optimize the Scanning Geometry for Fluorescent Molecular Tomography
title_short Sensitivity Uniformity Ratio as a New Index to Optimize the Scanning Geometry for Fluorescent Molecular Tomography
title_sort sensitivity uniformity ratio as a new index to optimize the scanning geometry for fluorescent molecular tomography
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419568/
https://www.ncbi.nlm.nih.gov/pubmed/30967989
http://dx.doi.org/10.4103/jmss.JMSS_22_18
work_keys_str_mv AT ebrahimpouranita sensitivityuniformityratioasanewindextooptimizethescanninggeometryforfluorescentmoleculartomography
AT zakariaeeseyedsalman sensitivityuniformityratioasanewindextooptimizethescanninggeometryforfluorescentmoleculartomography
AT hejazimarjaneh sensitivityuniformityratioasanewindextooptimizethescanninggeometryforfluorescentmoleculartomography