Near infrared optical tomography using NIRFAST: Algorithm for numerical model and image reconstruction

Diffuse optical tomography, also known as near infrared tomography, has been under investigation, for non‐invasive functional imaging of tissue, specifically for the detection and characterization of breast cancer or other soft tissue lesions. Much work has been carried out for accurate modeling and...

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Vydáno v:Communications in numerical methods in engineering Ročník 25; číslo 6; s. 711 - 732
Hlavní autoři: Dehghani, Hamid, Eames, Matthew E., Yalavarthy, Phaneendra K., Davis, Scott C., Srinivasan, Subhadra, Carpenter, Colin M., Pogue, Brian W., Paulsen, Keith D.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Chichester, UK John Wiley & Sons, Ltd 01.06.2009
Témata:
diffuse optical tomography
finite element methods
image reconstruction
inverse problems
near infrared imaging
ISSN:1069-8299, 1099-0887
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Shrnutí:Diffuse optical tomography, also known as near infrared tomography, has been under investigation, for non‐invasive functional imaging of tissue, specifically for the detection and characterization of breast cancer or other soft tissue lesions. Much work has been carried out for accurate modeling and image reconstruction from clinical data. NIRFAST, a modeling and image reconstruction package has been developed, which is capable of single wavelength and multi‐wavelength optical or functional imaging from measured data. The theory behind the modeling techniques as well as the image reconstruction algorithms is presented here, and 2D and 3D examples are presented to demonstrate its capabilities. The results show that 3D modeling can be combined with measured data from multiple wavelengths to reconstruct chromophore concentrations within the tissue. Additionally it is possible to recover scattering spectra, resulting from the dominant Mie‐type scatter present in tissue. Overall, this paper gives a comprehensive over view of the modeling techniques used in diffuse optical tomographic imaging, in the context of NIRFAST software package. Copyright © 2008 John Wiley & Sons, Ltd.
Bibliografie:istex:76A3F58D600803FA95296BB1448CDEC55FAF5885
Engineering and Physical Sciences Research Council, U.K.
National Cancer Institute - No. RO1CA78734; No. PO1CA80139
ArticleID:CNM1162
ark:/67375/WNG-4VQRWS86-R
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SourceType-Scholarly Journals-1
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Current address: Department of Radiation Oncology, Washington University School of Medicine, Campus Box 8224, 4921 Parkview Place, St. Louis, MO 63110, U.S.A.
h.dehghani@exeter.ac.uk
ISSN:1069-8299
1099-0887
DOI:10.1002/cnm.1162