In Vivo Tumor Vascular Imaging with Light Emitting Diode-Based Photoacoustic Imaging System

Photoacoustic (PA) imaging has shown tremendous promise for imaging tumor vasculature and its function at deeper penetration depths without the use of exogenous contrast agents. Traditional PA imaging systems employ expensive and bulky class IV lasers with low pulse repetition rate, due to which its...

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Main Authors: Marvin Xavierselvan, Mithun Kuniyil Ajith Singh, Srivalleesha Mallidi
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/16/4503
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author Marvin Xavierselvan
Mithun Kuniyil Ajith Singh
Srivalleesha Mallidi
author_facet Marvin Xavierselvan
Mithun Kuniyil Ajith Singh
Srivalleesha Mallidi
author_sort Marvin Xavierselvan
collection DOAJ
description Photoacoustic (PA) imaging has shown tremendous promise for imaging tumor vasculature and its function at deeper penetration depths without the use of exogenous contrast agents. Traditional PA imaging systems employ expensive and bulky class IV lasers with low pulse repetition rate, due to which its availability for preclinical cancer research is hampered. In this study, we evaluated the capability of a Light-Emitting Diode (LED)-based PA and ultrasound (US) imaging system for monitoring heterogeneous microvasculature in tumors (up to 10 mm in depth) and quantitatively compared the PA images with gold standard histology images. We used a combination of a 7 MHz linear array US transducer and 850 nm excitation wavelength LED arrays to image blood vessels in a subcutaneous tumor model. After imaging, the tumors were sectioned and stained for endothelial cells to correlate with PA images across similar cross-sections. Analysis of 30 regions of interest in tumors from different mice showed a statistically significant R-value of 0.84 where the areas with high blood vessel density had high PA response while low blood vessel density regions had low PA response. Our results confirm that LED-based PA and US imaging can provide 2D and 3D images of tumor vasculature and the potential it has as a valuable tool for preclinical cancer research.
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spelling doaj.art-e29e153beaed4e129906ff476b7034172023-11-20T09:53:38ZengMDPI AGSensors1424-82202020-08-012016450310.3390/s20164503In Vivo Tumor Vascular Imaging with Light Emitting Diode-Based Photoacoustic Imaging SystemMarvin Xavierselvan0Mithun Kuniyil Ajith Singh1Srivalleesha Mallidi2Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USAResearch & Business Development Division, Cyberdyne INC, Cambridge Innovation Center, 3013 Rotterdam, The NetherlandsDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USAPhotoacoustic (PA) imaging has shown tremendous promise for imaging tumor vasculature and its function at deeper penetration depths without the use of exogenous contrast agents. Traditional PA imaging systems employ expensive and bulky class IV lasers with low pulse repetition rate, due to which its availability for preclinical cancer research is hampered. In this study, we evaluated the capability of a Light-Emitting Diode (LED)-based PA and ultrasound (US) imaging system for monitoring heterogeneous microvasculature in tumors (up to 10 mm in depth) and quantitatively compared the PA images with gold standard histology images. We used a combination of a 7 MHz linear array US transducer and 850 nm excitation wavelength LED arrays to image blood vessels in a subcutaneous tumor model. After imaging, the tumors were sectioned and stained for endothelial cells to correlate with PA images across similar cross-sections. Analysis of 30 regions of interest in tumors from different mice showed a statistically significant R-value of 0.84 where the areas with high blood vessel density had high PA response while low blood vessel density regions had low PA response. Our results confirm that LED-based PA and US imaging can provide 2D and 3D images of tumor vasculature and the potential it has as a valuable tool for preclinical cancer research.https://www.mdpi.com/1424-8220/20/16/4503LEDphotoacoustic imagingultrasoundtumor imaging
spellingShingle Marvin Xavierselvan
Mithun Kuniyil Ajith Singh
Srivalleesha Mallidi
In Vivo Tumor Vascular Imaging with Light Emitting Diode-Based Photoacoustic Imaging System
Sensors
LED
photoacoustic imaging
ultrasound
tumor imaging
title In Vivo Tumor Vascular Imaging with Light Emitting Diode-Based Photoacoustic Imaging System
title_full In Vivo Tumor Vascular Imaging with Light Emitting Diode-Based Photoacoustic Imaging System
title_fullStr In Vivo Tumor Vascular Imaging with Light Emitting Diode-Based Photoacoustic Imaging System
title_full_unstemmed In Vivo Tumor Vascular Imaging with Light Emitting Diode-Based Photoacoustic Imaging System
title_short In Vivo Tumor Vascular Imaging with Light Emitting Diode-Based Photoacoustic Imaging System
title_sort in vivo tumor vascular imaging with light emitting diode based photoacoustic imaging system
topic LED
photoacoustic imaging
ultrasound
tumor imaging
url https://www.mdpi.com/1424-8220/20/16/4503
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AT mithunkuniyilajithsingh invivotumorvascularimagingwithlightemittingdiodebasedphotoacousticimagingsystem
AT srivalleeshamallidi invivotumorvascularimagingwithlightemittingdiodebasedphotoacousticimagingsystem