A light-fluence-independent method for the quantitative analysis of dynamic contrast-enhanced multispectral optoacoustic tomography (DCE MSOT)

Clinton W. Hupple; Stefan Morscher; Neal C. Burton; Mark D. Pagel; Lacey R. McNally; Julio Cárdenas-Rodríguez

doi:10.1016/j.pacs.2018.04.003

A light-fluence-independent method for the quantitative analysis of dynamic contrast-enhanced multispectral optoacoustic tomography (DCE MSOT)

Clinton W. Hupple, Stefan Morscher, Neal C. Burton, Mark D. Pagel, Lacey R. McNally, Julio Cárdenas-Rodríguez

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

MultiSpectral Optoacoustic Tomography (MSOT) is an emerging imaging technology that allows for data acquisition at high spatial and temporal resolution. These imaging characteristics are advantageous for Dynamic Contrast Enhanced (DCE) imaging that can assess the combination of vascular flow and permeability. However, the quantitative analysis of DCE MSOT data has not been possible due to complications caused by wavelength-dependent light attenuation and variability in light fluence at different anatomical locations. In this work we present a new method for the quantitative analysis of DCE MSOT data that is not biased by light fluence. We have named this method the two-compartment linear standard model (2C-LSM) for DCE MSOT.

Original language	English (US)
Pages (from-to)	54-64
Number of pages	11
Journal	Photoacoustics
Volume	10
DOIs	https://doi.org/10.1016/j.pacs.2018.04.003
State	Published - Jun 2018
Externally published	Yes

Keywords

Dynamic contrast enhanced imaging
Linear models
Multispectral optoacoustic tomography
Permeability
Pharmacokinetics models

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Radiology Nuclear Medicine and imaging

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10.1016/j.pacs.2018.04.003

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title = "A light-fluence-independent method for the quantitative analysis of dynamic contrast-enhanced multispectral optoacoustic tomography (DCE MSOT)",

abstract = "MultiSpectral Optoacoustic Tomography (MSOT) is an emerging imaging technology that allows for data acquisition at high spatial and temporal resolution. These imaging characteristics are advantageous for Dynamic Contrast Enhanced (DCE) imaging that can assess the combination of vascular flow and permeability. However, the quantitative analysis of DCE MSOT data has not been possible due to complications caused by wavelength-dependent light attenuation and variability in light fluence at different anatomical locations. In this work we present a new method for the quantitative analysis of DCE MSOT data that is not biased by light fluence. We have named this method the two-compartment linear standard model (2C-LSM) for DCE MSOT.",

keywords = "Dynamic contrast enhanced imaging, Linear models, Multispectral optoacoustic tomography, Permeability, Pharmacokinetics models",

author = "Hupple, {Clinton W.} and Stefan Morscher and Burton, {Neal C.} and Pagel, {Mark D.} and McNally, {Lacey R.} and Julio C{\'a}rdenas-Rodr{\'i}guez",

note = "Funding Information: This work was supported by the University of Arizona Cancer Center and the National Institute of Health under grants R01CA167183 , R01CA169774 and P30CA023074 . CWH, SM, and NB acknowledge employment at iThera Medical, GmbH, Munich Germany. JCR acknowledges employment at the Banner University Medical Center, Tucson, AZ. Publisher Copyright: {\textcopyright} 2018",

year = "2018",

month = jun,

doi = "10.1016/j.pacs.2018.04.003",

language = "English (US)",

volume = "10",

pages = "54--64",

journal = "Photoacoustics",

issn = "2213-5979",

publisher = "Elsevier GmbH",

}

TY - JOUR

T1 - A light-fluence-independent method for the quantitative analysis of dynamic contrast-enhanced multispectral optoacoustic tomography (DCE MSOT)

AU - Hupple, Clinton W.

AU - Morscher, Stefan

AU - Burton, Neal C.

AU - Pagel, Mark D.

AU - McNally, Lacey R.

AU - Cárdenas-Rodríguez, Julio

N1 - Funding Information: This work was supported by the University of Arizona Cancer Center and the National Institute of Health under grants R01CA167183 , R01CA169774 and P30CA023074 . CWH, SM, and NB acknowledge employment at iThera Medical, GmbH, Munich Germany. JCR acknowledges employment at the Banner University Medical Center, Tucson, AZ. Publisher Copyright: © 2018

PY - 2018/6

Y1 - 2018/6

N2 - MultiSpectral Optoacoustic Tomography (MSOT) is an emerging imaging technology that allows for data acquisition at high spatial and temporal resolution. These imaging characteristics are advantageous for Dynamic Contrast Enhanced (DCE) imaging that can assess the combination of vascular flow and permeability. However, the quantitative analysis of DCE MSOT data has not been possible due to complications caused by wavelength-dependent light attenuation and variability in light fluence at different anatomical locations. In this work we present a new method for the quantitative analysis of DCE MSOT data that is not biased by light fluence. We have named this method the two-compartment linear standard model (2C-LSM) for DCE MSOT.

AB - MultiSpectral Optoacoustic Tomography (MSOT) is an emerging imaging technology that allows for data acquisition at high spatial and temporal resolution. These imaging characteristics are advantageous for Dynamic Contrast Enhanced (DCE) imaging that can assess the combination of vascular flow and permeability. However, the quantitative analysis of DCE MSOT data has not been possible due to complications caused by wavelength-dependent light attenuation and variability in light fluence at different anatomical locations. In this work we present a new method for the quantitative analysis of DCE MSOT data that is not biased by light fluence. We have named this method the two-compartment linear standard model (2C-LSM) for DCE MSOT.

KW - Dynamic contrast enhanced imaging

KW - Linear models

KW - Multispectral optoacoustic tomography

KW - Permeability

KW - Pharmacokinetics models

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DO - 10.1016/j.pacs.2018.04.003

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AN - SCOPUS:85046828687

SN - 2213-5979

VL - 10

SP - 54

EP - 64

JO - Photoacoustics

JF - Photoacoustics

ER -

A light-fluence-independent method for the quantitative analysis of dynamic contrast-enhanced multispectral optoacoustic tomography (DCE MSOT)

Abstract

Keywords

ASJC Scopus subject areas

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