XWH - 08 - 1 - 0357 TITLE : MR - Guided Near Infrared Spectroscopy for Reducing Breast Cancer False

Combined Magnetic Resonance (MR) and Near InfraredSpectroscopy (NIRS) has been proposed as a unique method to quantifyhemodynamics, water content, and cellular size and packing density ofbreast tumors, as these tissue constituents can be quantified with increasedresolution and overlaid on the structural features identified by the MR.However, the choices in how to reconstruct and visualize this informationcan have a dramatic impact on the feasibility of implementing this modalityin the clinic. This is especially true in 3 dimensions, as there is often limitedoptical sampling of the breast tissue, and methods need to accurately reflectthe tissue composition. In this paper, the implementation and display offully 3D MR image-guided NIRS is outlined and demonstrated using in vivodata from three healthy women and a volunteer undergoing neoadjuvantchemotherapy. Additionally, a display feature presented here scales thetransparency of the optical images to the sensitivity of the measurements,providing a logical way to incorporate partial volume sets of optical imagesonto the MR volume. These concepts are demonstrated with 3D data setsusing Volview software online.© 2008 Optical Society of AmericaOCIS codes: (170.0170) Medical optics and biotechnology, (170.3660) Light propagation intissues, (100.3010) Image reconstruction techniques References and links1. B. Bone, Z. Pentek, L. Perbeck, and B. Veress, “Diagnostic accuracy of mammography and contrast-enhancedmr imaging in 238 histologically verified breast lesions.,” Acta. Radiol., vol. 38, no. 4 Pt 1, pp. 489–496, 1997.2. D. Bluemke, C. Gatsonis, M. Chen, G. DeAngelis, N. DeBruhl, S. Harms, S. Heywang-Kobrunner, N. Hylton,C. Kuhl, C. Lehman, E. Pisano, P. Causer, S. Schnitt, S. Smazal, C. Stelling, P. Weatherall, and M. Schnall,“Magnetic resonance imaging of the breast prior to biopsy,” JAMA-Journal of the American Medical Association,vol. 292, no. 22, 2004.3. S. Orel and M. Schnall, “Mr imaging of the breast for detection, diagnosis, and staging of breast cancer,” Radi-ology, vol. 220, pp. 13–30, 2001.4. P. Hathaway, D. Mankoff, K. Maravilla, M. Austin-Seymour, G. Ellis, J. Gralow, A. Cortese, C. Hayes, andR. Mode, “Value of combined fdg pet and mr imaging in the evaluation of suspected recurrent local-regionalcreast cancer: Preliminary experience,” Radiology, vol. 210, 1999.5. C. Catana, D. Procissi, Y. Wu, M. Judenhofer, J. Qi, B. Pichler, R. Jacobs, and S. Cherry, “Simultaneous in vivopositron emission tomography and magnetic resonance imaging,” Proc. Natl. Acad. Sci. USA, vol. 105, no. 10,2008.6. R. Sinkus, K. Siegmann, T. Xydeas, M. Tanter, C. Claussen, and M. Fink, “Mr elastography of breast lesions: Un-derstanding the solid/liquid duality can improve the specificity of contrast-enhanced mr mammography,” Magnet.Reson. Med., vol. 58, 2007. 7. E. Van Houten, M. Doyley, F. Kennedy, J. Weaver, and K. Paulsen, “Initial in vivo experience with steady-statesubzone-based mr elastography of the human breast,” JMRI-J. Magn. Reson. Im., vol. 17, 2002.8. V. Ntziachristos, A. G. Yodh, M. Schnall, and B. Chance, “Concurrent mri and diffuse optical tomography ofbreast after indocyanine green enhancement,” Proc. Natl. Acad. Sci. USA, vol. 97, no. 6, pp. 2767–72, 2000.9. V. Ntziachristos, A. G. Yodh, M. D. Schnall, and B. Chance, “Mri-guided diffuse optical spectroscopy of ma-lignant and benign breast lesions,” Neoplasia, vol. 4, no. 4, pp. 347–54, 2002. Using Smart Source ParsingJul-Aug.10. B. Brooksby, S. Jiang, H. Dehghani, B. W. Pogue, K. D. Paulsen, C. Kogel, M. Doyley, J. B. Weaver, and S. P.Poplack, “Magnetic resonance-guided near-infrared tomography of the breast,” Rev. Sci. Instr., vol. 75, no. 12,pp. 5262–5270, 2004.11. B. Brooksby, B. W. Pogue, S. Jiang, H. Dehghani, S. Srinivasan, C. Kogel, T. Tosteson, J. B. Weaver, S. P.Poplack, and K. D. Paulsen, “Imaging breast adipose and fibroglandular tissue molecular signatures using hybridmri-guided near-infrared spectral tomography,” Proc. Natl. Acad. Sci. USA, vol. 103, pp. 8828–8833, 2006.12. D. Townsend and S. Cherry, “Combining anatomy and function: the path to true image fusion,” Eur. Radiol.,vol. 11, 2001.13. S. Srinivasan, B. W. Pogue, B. Brooksby, S. Jiang, H. Dehghani, C. Kogel, W. A. Wells, S. Poplack, and K. D.Paulsen, “Near-infrared characterization of breast tumors in-vivo using spectrally-constrained reconstruction,”Tech. Cancer Res. Treat., vol. 4, no. 5, pp. 513–526, 2005.14. B. W. Pogue, S. P. Poplack, T. O. McBride, W. A. Wells, O. K. S., U. L. Osterberg, and K. D. Paulsen, “Quan-titative hemoglobin tomography with diffuse near-infrared spectroscopy: Pilot results in the breast,” Radiology,vol. 218, no. 1, pp. 261–6, 2001.15. A. Cerrusi, N. Shah, D. Hsiang, A. Durkin, J. Butler, and B. Tromberg, “In vivo absorption, scattering, andphysiologic properties of 58 malignant breast tumors determined by broadband diffuse optical spectroscopy,” J.Biomed. Opt., vol. 11, no. 4, 2006.16. S. Fantini, S. A. Walker, M. A. Franceschini, M. Kaschke, P. M. Schlag, and K. T. Moesta, “Assessment of thesize, position, and optical properties of breast tumors in vivo by noninvasive optical methods,” Appl. Opt., vol. 37,no. 10, pp. 1982–1989, 1998.17. D. Grosenick, K. Moesta, H. Wabnitz, J. Mucke, C. Stroszczynski, R. Macdonald, P. Schlag, and H. Rinneberg,“Time-domain optical mammography: Initial clinical results on detection and characterization of breast tumors,”Appl. Opt., vol. 42, no. 16, 2003.18. B. Chance, S. Nioka, J. Zhang, E. Conant, E. Hwang, S. Briest, S. Orel, M. Schnall, and B. Czerniecki, “Breastcancer detection based on incremental biochemical and physiological properties of breast cancers: A six-year,two-site study,” Acad. Radiol., vol. 12, no. 8, 2005.19. S. Poplack, T. Tosteson, W. Wells, B. Pogue, P. Meaney, A. Hartov, C. Kogel, S. Soho, J. Gibson, and K. Paulsen,“Electromagnetic breast imaging: Results of a pilot study in women with abnormal mammograms,” Radiology,vol. 243, no. 2, 2007.20. B. Brooksby, S. Jiang, H. Dehghani, B. W. Pogue, K. D. Paulsen, J. B. Weaver, C. Kogel, and S. P. Poplack, “Com-bining near infrared tomography and magnetic resonance imaging to study in vivo breast tissue: implementationof a laplacian-type regularization to incorporate mr structure,” J. Biomed. Opt., vol. 10, no. 5, pp. 050504–1–10,2005.21. X. Intes, C. Maloux, M. Guven, T. Yazici, and B. Chance, “Diffuse optical tomography with physiological andspatial a priori constraints,” Phys. Med. Biol., vol. 49, pp. N155–N163, 2004.22. A. Li, E. L. Miller, M. E. Kilmer, T. J. Brukilaccio, T. Chaves, J. Stott, Q. Zhang, T. Wu, M. Choriton, R. H.Moore, D. B. Kopans, and D. A. Boas, “Tomographic optical breast imaging guided by three-dimensional mam-mography,” Appl. Opt., vol. 42, no. 25, pp. 5181–5190, 2003.23. P. Yalavarthy, B. Pogue, H. Dehghani, C. Carpenter, S. Jiang, and K. Paulsen, “Structural information withinregularization matrices improves near infrared diffuse optical tomography,” Opt. Express, vol. 15, no. 13, 2007.24. C. Carpenter, B. Pogue, S. Jiang, H. Dehghani, X. Wang, K. Paulsen, W. Wells, J. Forero, C. Kogel, J. Weaver,S. Poplack, and P. Kaufman, “Image-guided spectroscopy provides molecular specific information in vivo: Mri-guided spectroscopy of breast cancer hemoglobin, water, and scatterer size,” Opt. Lett., vol. 32, no. 8, pp. 933–935, 2007.25. H. Dehghani, B. W. Pogue, S. Jiang, B. A. Brooksby, and K. D. Paulsen, “Three-dimensional optical tomography:resolution in small-object imaging,” Appl. Opt., vol. 42, no. 16, pp. 3117–3128, 2003.26. T. O. McBride, B. W. Pogue, E. Gerety, S. Poplack, U. L. Osterberg, and K. D. Paulsen, “Spectroscopic diffuseoptical tomography for quantitatively assessing hemoglobin concentration and oxygenation in tissue,” Appl. Opt.,vol. 38, no. 25, pp. 5480–90, 1999.27. S. R. Arridge and M. Schweiger, “Photon-measurement density functions. part 2: Finite-element-method calcu-lations,” Appl. Opt., vol. 34, pp. 8026–8037, 1995.28. S. R. Arridge, S. M., and D. T. Delpy, “Iterative reconstruction of near infrared absorption images,” Proc. SPIE,vol. 1767, pp. 372–383, 1992.29. A. Corlu, R. Choe, T. Durduran, K. Lee, M. Schweiger, S. R. Arridge, E. M. Hillman, and A. G. Yodh, “Diffuseoptical tomography with spectral constraints and wavelength optimization,” Appl. Opt., vol. 44, no. 11, pp. 2082– 93, 2005. Using Smart Source Parsing Apr 10.30. S. Srinivasan, B. W. Pogue, S. Jiang, H. Dehghani, and K. D. Paulsen, “Spectrally constrained chromophore andscattering NIR tomography improves quantification and robustness of reconstruction,” Appl. Opt., vol. 44, no. 10,pp. 1858–1869, 2004.31. T. O. McBride, B. W. Pogue, S. Jiang, U. L. Osterberg, and K. D. Paulsen, “Development and calibration of aparallel modulated near-infrared tomography system for hemoglobin imaging in vivo,” Rev. Sci. Instr., vol. 72,no. 3, pp. 1817–1824, 2001.32. P. Yalavarthy, B. Pogue, H. Dehghani, and K. Paulsen, “Weight-matrix structured regularization provides opticalgeneralized least-squares estimate in diffuse optical tomography,” Med. Phys., vol. 34, no. 6, 2007.33. M. Schweiger, I. Nissila, D. Boas, and S. Arridge, “Image reconstruction in the presence of coupling errors,”Appl. Opt., vol. 46, no. 14, 2007.34. J. Zhang, J. Sullivan, H. Yu, and Z. Wu, “Image-guided multimodality registration and visualization for breastcancer detection,” in SPIE (R. Gallowat and K. Cleary, eds.), vol. 5744, pp. 123–133, 2005.35. S. Fantini, M. A. Francheschini, A. Cerussi, J. S. Maier, S. A. Walker, B. Barbieri, B. Chance, and E. Gratton,“The effect of water in the quantitation of hemoglobin concentration in a tissue-like phantom by near-infraredspectroscopy,” Biophys. J., vol. 70, no. 2, pp. WP343–WP343, 1996. Part 2.36. T. O. McBride, B. W. Pogue, S. Jiang, U. L. Osterberg, K. D. Paulsen, and S. P. Poplack, “Multi-spectral near-infrared tomography: a case study in compensating for water and lipid content in hemoglobin imaging of thebreast,” J. Biomed. Opt., vol. 7, no. 1, pp. 72–79, 2001.37. A. E. Cerussi, D. Jakubowski, N. Shah, F. Bevilacqua, R. Lanning, A. J. Berger, D. Hsiang, J. Butler, R. F.Holcombe, and B. J. Tromberg, “Spectroscopy enhances the information content of optical mammography,” J.Biomed. Opt., vol. 7, no. 1, pp. 60–71, 2002. Using Smart Source Parsing Jan.38. A. Li, G. Boverman, Y. Zhang, D. Brooks, E. Miller, M. Kilmer, Q. Zhang, E. Hillman, and D. Boas, “Opticallinear inverse solution with multiple priors in diffuse optical tomography,” Appl. Opt., vol. 44, no. 10, 2005.39. S. Merritt, S. Gulsen, G. Chiou, Y. Chu, C. Deng, A. Cerussi, A. Durkin, B. Tromberg, and O. Nalcioglu, “Com-parison of water and lipid content measurements using diffuse optical spectroscopy and mri in emulsion phan-toms,” Tech. Cancer Res. Treat., vol. 2, no. 6, 2003.