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Med. Phys. 37, 3715 (2010); http://dx.doi.org/10.1118/1.3455702 (10 pages)

In vivo quantitative imaging of normal and cancerous breast tissue using broadband diffuse optical tomography

Jia Wang

Department of Physics and Astronomy, Dartmouth College, Hanover, New Hampshire 03755

Shudong Jiang

Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755

Zhongze Li

Biostatistics Shared Resource, Norris Cotton Cancer Center, Dartmouth College, Hanover, New Hampshire 03756

Roberta M. diFlorio-Alexander

Department of Diagnostic Radiology, Dartmouth Medical School, Lebanon, New Hampshire 03756

Richard J. Barth

Department of Surgery, Dartmouth Medical School, Lebanon, New Hampshire 03756

Peter A. Kaufman

Department of Medicine, Dartmouth Medical School, Lebanon, New Hampshire 03756

Brian W. Pogue

Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755 and Department of Surgery, Dartmouth Medical School, Lebanon, New Hampshire 03756

Keith D. Paulsen

Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755 and Department of Diagnostic Radiology, Dartmouth Medical School, Lebanon, New Hampshire 03756

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(Received 22 March 2010; accepted 30 May 2010; revised 25 May 2010; published online 25 June 2010)

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Purpose: A NIR tomography system that combines frequency domain (FD) and continuous wave (CW) measurements was used to image normal and malignant breast tissues.
Methods: FD acquisitions were confined to wavelengths less than 850 nm because of detector limitations, whereas light from longer wavelengths (up to 948 nm) was measured in CW mode with CCD-coupled spectrometer detection. The two data sets were combined and processed in a single spectrally constrained reconstruction to map concentrations of hemoglobin, water, and lipid, as well as scattering parameters in the breast.
Results: Chromophore concentrations were imaged in the breasts of nine asymptomatic volunteers to evaluate their intrasubject and intersubject variability. Normal subject data showed physiologically expected trends. Images from three cancer patients indicate that the added CW data is critical to recovering the expected increases in water and decreases in lipid content within malignancies. Contrasts of 1.5 to twofold in hemoglobin and water values were found in cancers.
Conclusions: In vivo breast imaging with instrumentation that combines FD and CW NIR data acquisition in a single spectral reconstruction produces more accurate hemoglobin, water, and lipid results relative to FD data alone.

© 2010 American Association of Physicists in Medicine

ACKNOWLEDGMENTS

This work has been funded by National Cancer Institute research Grant Nos. PO1CA80139 and K25CA106863.

Article Outline

  1. INTRODUCTION
  2. METHODS AND MATERIALS
    1. Theory
    2. Experimental methods
  3. RESULTS
    1. Simulations
    2. Normal breast imaging
      1. Improvement with longer wavelengths
      2. Intrasubject variability
      3. Intersubject variability
      4. Correlation between physiological parameters
      5. Comparison of physiological parameters based on radiographic density
    3. Imaging patients with malignant breast tumors
  4. DISCUSSION
  5. CONCLUSION

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