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Proceedings Paper

Quantifying adipose and fibroglandular breast tissue properties using MRI-guided NIR tomography
Author(s): Ben Brooksby; Subhadra Srinivasan; Brian W. Pogue; Shudong Jiang; Hamid Dehghani; Christine Kogel; John Weaver; Steven P. Poplack; Justin D. Pearlman; Keith D. Paulsen
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Paper Abstract

Hybrid NIR-MRI imaging has been used in a clinical breast imaging system to characterize breast tissue properties. The multi-spectral, frequency-domain tomography system operates inside a clinical scanner via long silica-glass optical fiber bundles and using a non-magnetic fiber-patient interface attached to a high resolution MR breast coil. Sixteen fiber bundles are positioned around the circumference of the female breast yielding 240 measurements of light transmission (amplitude and phase) at six optical wavelengths from 660-850nm through up to 12 cm of tissue. From optical measurements, we use a Newton-type algorithm to reconstruct images of tissue optical properties (absorption and scattering), and physiological tissue features such as oxy-hemoglobin [Hb-O2], deoxy-hemoglobin concentrations [Hb-R], water concentration [water], scattering amplitude, and scattering power. We are exploring the synergistic benefits of a combined NIR-MRI data set, specifically the ways in which MRI (i.e. high spatial resolution) can be used to enhance NIR (i.e. high contrast resolution) image reconstruction. A priori knowledge can be applied to image reconstruction in the form of spatial and spectral constraints to improve spatial resolution, contrast, and quantitative accuracy of NIR images. In vivo results suggest that this combined system can accurately quantify contrast between the properties of tissues present in the breast (i.e. adipose and fibroglandular) regardless of their varied and complex spatial organization. For a group of healthy female volunteers, we observe greater contrast between the properties of adipose and glandular tissues when we use MR-guidance than when we do not, and values of total hemoglobin and water content are more consistent with what is physiologically expected.

Paper Details

Date Published: 28 April 2005
PDF: 10 pages
Proc. SPIE 5693, Optical Tomography and Spectroscopy of Tissue VI, (28 April 2005); doi: 10.1117/12.590498
Show Author Affiliations
Ben Brooksby, Dartmouth College (United States)
Subhadra Srinivasan, Dartmouth College (United States)
Brian W. Pogue, Dartmouth College (United States)
Shudong Jiang, Dartmouth College (United States)
Hamid Dehghani, Dartmouth College (United States)
Christine Kogel, Dartmouth Hitchcock Medical Ctr. (United States)
John Weaver, Dartmouth Hitchcock Medical Ctr. (United States)
Steven P. Poplack, Dartmouth Hitchcock Medical Ctr. (United States)
Justin D. Pearlman, Dartmouth Hitchcock Medical Ctr. (United States)
Keith D. Paulsen, Dartmouth College (United States)


Published in SPIE Proceedings Vol. 5693:
Optical Tomography and Spectroscopy of Tissue VI
Britton Chance; Robert R. Alfano; Bruce J. Tromberg; Mamoru Tamura; Eva M. Sevick-Muraca, Editor(s)

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