Wavelength dependence of sensitivity in spectral diffuse optical imaging: effect of normalization on image reconstruction

Research output: Contribution to journal › Article

Standard

Wavelength dependence of sensitivity in spectral diffuse optical imaging: effect of normalization on image reconstruction. / Eames, ME; Dehghani, Hamid.

In: Optics Express, Vol. 16, No. 22, 27.10.2008, p. 17780-17791.

Research output: Contribution to journal › Article

Harvard

Eames, ME & Dehghani, H 2008, 'Wavelength dependence of sensitivity in spectral diffuse optical imaging: effect of normalization on image reconstruction', Optics Express, vol. 16, no. 22, pp. 17780-17791. https://doi.org/10.1364/OE.16.017780

APA

Eames, ME., & Dehghani, H. (2008). Wavelength dependence of sensitivity in spectral diffuse optical imaging: effect of normalization on image reconstruction. Optics Express, 16(22), 17780-17791. https://doi.org/10.1364/OE.16.017780

Vancouver

Eames ME, Dehghani H. Wavelength dependence of sensitivity in spectral diffuse optical imaging: effect of normalization on image reconstruction. Optics Express. 2008 Oct 27;16(22):17780-17791. https://doi.org/10.1364/OE.16.017780

Author

Eames, ME ; Dehghani, Hamid. / Wavelength dependence of sensitivity in spectral diffuse optical imaging: effect of normalization on image reconstruction. In: Optics Express. 2008 ; Vol. 16, No. 22. pp. 17780-17791.

Bibtex

@article{febc17eb0f3248068f3209b1b0f24a6c,
title = "Wavelength dependence of sensitivity in spectral diffuse optical imaging: effect of normalization on image reconstruction",
abstract = "Near Infrared Diffuse Optical Tomography has the potential to be used as a non-invasive imaging tool for biological tissue specifically for the diagnosis and characterization of breast cancer. Most model based reconstruction algorithms rely on calculating and inverting a large Jacobian matrix. Although this method is flexible for a wide range of complex problems, it usually results in large image artifacts from hypersensitivity around the detectors. In this work a Jacobian normalization technique is presented which takes into account the varying magnitude of different optical parameters creating a more uniform update within a spectral image reconstruction model. Using simulated data the Jacobian normalization method is used to reconstructed images of absolute chromophore and scattering parameters which are qualitatively and quantitatively as compared to conventional methods. The hypersensitivity resulting in boundary artifacts are shown to be minimized with only a small additional computational cost.",
author = "ME Eames and Hamid Dehghani",
year = "2008",
month = oct,
day = "27",
doi = "10.1364/OE.16.017780",
language = "English",
volume = "16",
pages = "17780--17791",
journal = "Optics Express",
issn = "1094-4087",
publisher = "Optical Society of America",
number = "22",

}

RIS

TY - JOUR

T1 - Wavelength dependence of sensitivity in spectral diffuse optical imaging: effect of normalization on image reconstruction

AU - Eames, ME

AU - Dehghani, Hamid

PY - 2008/10/27

Y1 - 2008/10/27

N2 - Near Infrared Diffuse Optical Tomography has the potential to be used as a non-invasive imaging tool for biological tissue specifically for the diagnosis and characterization of breast cancer. Most model based reconstruction algorithms rely on calculating and inverting a large Jacobian matrix. Although this method is flexible for a wide range of complex problems, it usually results in large image artifacts from hypersensitivity around the detectors. In this work a Jacobian normalization technique is presented which takes into account the varying magnitude of different optical parameters creating a more uniform update within a spectral image reconstruction model. Using simulated data the Jacobian normalization method is used to reconstructed images of absolute chromophore and scattering parameters which are qualitatively and quantitatively as compared to conventional methods. The hypersensitivity resulting in boundary artifacts are shown to be minimized with only a small additional computational cost.

AB - Near Infrared Diffuse Optical Tomography has the potential to be used as a non-invasive imaging tool for biological tissue specifically for the diagnosis and characterization of breast cancer. Most model based reconstruction algorithms rely on calculating and inverting a large Jacobian matrix. Although this method is flexible for a wide range of complex problems, it usually results in large image artifacts from hypersensitivity around the detectors. In this work a Jacobian normalization technique is presented which takes into account the varying magnitude of different optical parameters creating a more uniform update within a spectral image reconstruction model. Using simulated data the Jacobian normalization method is used to reconstructed images of absolute chromophore and scattering parameters which are qualitatively and quantitatively as compared to conventional methods. The hypersensitivity resulting in boundary artifacts are shown to be minimized with only a small additional computational cost.

U2 - 10.1364/OE.16.017780

DO - 10.1364/OE.16.017780

M3 - Article

C2 - 18958060

VL - 16

SP - 17780

EP - 17791

JO - Optics Express

JF - Optics Express

SN - 1094-4087

IS - 22

ER -