Abstract
Quantitative near infrared (NIR) imaging of tissue requires the use of a diffusion model-based reconstruction algorithm, which solves for the absorption and scattering coefficients of a tissue volume by matching transmission measurements of light to the predictive diffusion equation solution. Calibration problems as well as other practical considerations arise for an imaging system when using a model-based method for a real system. For example, systematic noise in the data acquisition hardware and source/detector fibers must be removed to prevent spurious results in the reconstructed image. Practical considerations for a NIR diffuse tomographic imaging system include: (1) calibration with a homogeneous phantom, (2) use of a homogeneous fitting algorithm to arrive at an initial optical property estimate for image reconstruction of a heterogeneous medium, and (3) correction for fluctuations in source strength and initial phase offset during data acquisition. These practical considerations, which rely on an accurate homogeneous fitting algorithm are described. They have allowed demonstration of a prototype imaging system that has the ability to quantitatively reconstruct heterogeneous images of hemoglobin concentrations within a highly scattering medium with no a priori information.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jiang H, Paulsen KD, Österberg UL, Pogue BW, Patterson MS. Optical image reconstruction using frequency-domain data: simulations and experiments. J Opt Soc Am A 1996;13:253–266.
Arridge SR, Schweiger M. Image reconstruction in optical tomography. Phil Trans R. Soc Lond B 1997;352:717–726.
Profio AF, Navarro GA. Scientific basis of breast diaphanography. Med Phys 1989; 16:60–65.
Vaupel P, Kallinowski F, Okunieff P. Blood flow, oxygen and nutrient supply, and metabolic microenvironment of human tumors: a review. Cancer Research 1989;49: 6449–6465.
McBride TO, Pogue BW, Gerety ED, Poplack SB, Osterberg UL, Paulsen KD. Spectroscopic diffuse optical tomography for quantitatively assessing hemoglobin concentration and oxygenation in breast tissue. Appl Opt 1999;38:5480–5490.
Pogue BW, Testorf M, McBride T, Österberg U, Paulsen K. Instrumentation and design of a frequency-domain diffuse optical tomography imager for breast cancer detection. Optics Express 1997;1:391–403.
Pogue BW, McBride TO, Österberg UL, Paulsen KD. Spatially variant regularization improves diffuse optical tomography. Appl Opt 1999;38:2950–2961.
Wray S, Cope M, Delpy DT, Wyatt JS, Reynolds EOR. Characterization of the near infrared absorption spectra of cytochrome aa3 and haemoglobin for the non-invasive monitoring of cerebral oxygenation. Biochim Biophys Acta 1988;933:184–192.
Quaresima V, Matcher SJ, Ferrari M. Identification and quantification of intrinsic optical contrast for near-infrared mammography. Photochem Photobiol 1998;67:4–14.
Hale GM, Querry MR, Optical constants of water in the 200-nm to 200- pm wavelength region. Appl Opt 1973;12:555–563.
Pogue BW, Patterson MS, Frequency-domain optical absorption spectroscopy of finite element tissue volumes using diffusion theory. Phys Med Bio 1994;39:1157–1180
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer Science+Business Media New York
About this chapter
Cite this chapter
McBride, T.O., Pogue, B.W., Österberg, U.L., Paulsen, K.D. (2003). Strategies for Absolute Calibration of Near Infrared Tomographic Tissue Imaging. In: Dunn, J.F., Swartz, H.M. (eds) Oxygen Transport to Tissue XXIV. Advances in Experimental Medicine and Biology, vol 530. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0075-9_9
Download citation
DOI: https://doi.org/10.1007/978-1-4615-0075-9_9
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-4912-9
Online ISBN: 978-1-4615-0075-9
eBook Packages: Springer Book Archive