Diffuse optical tomography for breast cancer imaging guided by computed tomography: A feasibility study.

Diffuse optical tomography (DOT) has attracted attentions in the last two decades due to its intrinsic sensitivity in imaging chromophores of tissues such as hemoglobin, water, and lipid. However, DOT has not been clinically accepted yet due to its low spatial resolution caused by strong optical scattering in tissues. Structural guidance provided by an anatomical imaging modality enhances the DOT imaging substantially. Here, we propose a computed tomography (CT) guided multispectral DOT imaging system for breast cancer imaging. To validate its feasibility, we have built a prototype DOT imaging system which consists of a laser at the wavelength of 650 nm and an electron multiplying charge coupled device (EMCCD) camera. We have validated the CT guided DOT reconstruction algorithms with numerical simulations and phantom experiments, in which different imaging setup parameters, such as projection number of measurements and width of measurement patch, have been investigated. Our results indicate that an air-cooling EMCCD camera is good enough for the transmission mode DOT imaging. We have also found that measurements at six angular projections are sufficient for DOT to reconstruct the optical targets with 2 and 4 times absorption contrast when the CT guidance is applied. Finally, we have described our future research plan on integration of a multispectral DOT imaging system into a breast CT scanner.

[1]  L. Tabár,et al.  Mammography service screening and mortality in breast cancer patients: 20-year follow-up before and after introduction of screening , 2003, The Lancet.

[2]  B. Pogue,et al.  Combining near-infrared tomography and magnetic resonance imaging to study in vivo breast tissue: implementation of a Laplacian-type regularization to incorporate magnetic resonance structure. , 2005, Journal of biomedical optics.

[3]  B. Pogue,et al.  Imaging breast adipose and fibroglandular tissue molecular signatures by using hybrid MRI-guided near-infrared spectral tomography. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[4]  B. Pogue,et al.  Weight-matrix structured regularization provides optimal generalized least-squares estimate in diffuse optical tomography. , 2007, Medical physics.

[5]  A. N. Tikhonov,et al.  REGULARIZATION OF INCORRECTLY POSED PROBLEMS , 1963 .

[6]  M. Huang,et al.  Ultrasound-guided optical tomographic imaging of malignant and benign breast lesions: initial clinical results of 19 cases. , 2003, Neoplasia.

[7]  L. Fajardo,et al.  Near-infrared optical imaging of the breast with model-based reconstruction. , 2002, Academic radiology.

[8]  Hamid Dehghani,et al.  Implicit and explicit prior information in near-infrared spectral imaging: accuracy, quantification and diagnostic value , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[9]  S. Arridge Optical tomography in medical imaging , 1999 .

[10]  E. Miller,et al.  Combined optical and X-ray tomosynthesis breast imaging. , 2011, Radiology.

[11]  Eric L. Miller,et al.  Combined optical imaging and mammography of the healthy breast: Optical contrast derived from breast structure and compression , 2009, IEEE Transactions on Medical Imaging.

[12]  R. Gilles,et al.  Locally advanced breast cancer: contrast-enhanced subtraction MR imaging of response to preoperative chemotherapy. , 1994, Radiology.

[13]  E. Miller,et al.  Optimal linear inverse solution with multiple priors in diffuse optical tomography. , 2005, Applied optics.

[14]  M. Yaffe,et al.  American Cancer Society Guidelines for Breast Screening with MRI as an Adjunct to Mammography , 2007 .

[15]  M. Schweiger,et al.  Uniqueness and wavelength optimization in continuous-wave multispectral diffuse optical tomography. , 2003, Optics letters.

[16]  K. Paulsen,et al.  Spatially varying optical property reconstruction using a finite element diffusion equation approximation. , 1995, Medical physics.

[17]  B. Pogue,et al.  Near-infrared (NIR) tomography breast image reconstruction with a priori structural information from MRI: algorithm development for reconstructing heterogeneities , 2003 .

[18]  Huabei Jiang,et al.  A calibration method in diffuse optical tomography , 2004 .

[19]  A. Jemal,et al.  Cancer statistics, 2016 , 2016, CA: a cancer journal for clinicians.

[20]  M. Huang,et al.  Utilizing optical tomography with ultrasound localization to image heterogeneous hemoglobin distribution in large breast cancers. , 2005, Neoplasia.

[21]  Huabei Jiang,et al.  Multispectral breast imaging using a ten-wavelength, 64 x 64 source/detector channels silicon photodiode-based diffuse optical tomography system. , 2006, Medical physics.

[22]  Lihong V. Wang,et al.  Biomedical Optics: Principles and Imaging , 2007 .

[23]  C. Pichot,et al.  Microwave imaging-complex permittivity reconstruction with a Levenberg-Marquardt method , 1997 .

[24]  John M. Boone,et al.  Computed Tomography for Imaging the Breast , 2006, Journal of Mammary Gland Biology and Neoplasia.

[25]  K D Paulsen,et al.  Spectroscopic diffuse optical tomography for the quantitative assessment of hemoglobin concentration and oxygen saturation in breast tissue. , 1999, Applied optics.

[26]  B. Pogue,et al.  Evaluation of breast tumor response to neoadjuvant chemotherapy with tomographic diffuse optical spectroscopy: case studies of tumor region-of-interest changes. , 2009, Radiology.

[27]  R. Barbour,et al.  Normalized-constraint algorithm for minimizing inter-parameter crosstalk in DC optical tomography. , 2001, Optics express.

[28]  Vasilis Ntziachristos,et al.  Complete-angle projection diffuse optical tomography by use of early photons. , 2005, Optics letters.

[29]  C. Balu-Maestro,et al.  Imaging in evaluation of response to neoadjuvant breast cancer treatment benefits of MRI. , 2005, Breast cancer research and treatment.

[30]  P J Drew,et al.  Evaluation of response to neoadjuvant chemoradiotherapy for locally advanced breast cancer with dynamic contrast-enhanced MRI of the breast. , 2001, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.

[31]  Akira Ishimaru,et al.  Wave propagation and scattering in random media , 1997 .

[32]  A. Hielscher,et al.  Instrumentation for fast functional optical tomography , 2002 .

[33]  Huabei Jiang,et al.  Multispectral diffuse optical tomography with absorption and scattering spectral constraints. , 2007, Applied optics.

[34]  Hamid Dehghani,et al.  Structural information within regularization matrices improves near infrared diffuse optical tomography. , 2007, Optics express.

[35]  B. Pogue,et al.  Spectrally constrained chromophore and scattering near-infrared tomography provides quantitative and robust reconstruction. , 2005, Applied optics.

[36]  A. Yodh,et al.  Diffuse optics for tissue monitoring and tomography , 2010, Reports on progress in physics. Physical Society.

[37]  Kai Yang,et al.  A geometric calibration method for cone beam CT systems. , 2006, Medical physics.

[38]  B. Tromberg,et al.  Non-invasive measurements of breast tissue optical properties using frequency-domain photon migration. , 1997, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[39]  E. Miller,et al.  Quantitative spectroscopic diffuse optical tomography of the breast guided by imperfect a priori structural information , 2005, Physics in medicine and biology.

[40]  Soren D. Konecky,et al.  Diffuse optical tomography of breast cancer during neoadjuvant chemotherapy: a case study with comparison to MRI. , 2005, Medical physics.

[41]  V. Ntziachristos,et al.  MRI-guided diffuse optical spectroscopy of malignant and benign breast lesions. , 2002, Neoplasia.

[42]  K D Paulsen,et al.  Calibration of near-infrared frequency-domain tissue spectroscopy for absolute absorption coefficient quantitation in neonatal head-simulating phantoms. , 2000, Journal of biomedical optics.

[43]  Sandra K. Soho,et al.  Characterization of hemoglobin, water, and NIR scattering in breast tissue: analysis of intersubject variability and menstrual cycle changes. , 2004, Journal of biomedical optics.

[44]  G. Hortobagyi,et al.  Advanced primary breast cancer: assessment at mammography of response to induction chemotherapy. , 1988, Radiology.

[45]  S. Colak,et al.  Clinical optical tomography and NIR spectroscopy for breast cancer detection , 1999 .

[46]  B. Tromberg,et al.  Monitoring neoadjuvant chemotherapy in breast cancer using quantitative diffuse optical spectroscopy: a case study. , 2004, Journal of biomedical optics.

[47]  Britton Chance,et al.  Diffuse optical tomography with physiological and spatial a priori constraints , 2004, Physics in medicine and biology.

[48]  Wendy B DeMartini,et al.  Targeted ultrasound in women younger than 30 years with focal breast signs or symptoms: outcomes analyses and management implications. , 2010, AJR. American journal of roentgenology.

[49]  S. Arridge,et al.  Optical tomography: forward and inverse problems , 2009, 0907.2586.

[50]  V. Ntziachristos,et al.  Three-dimensional diffuse optical tomography in the parallel plane transmission geometry: evaluation of a hybrid frequency domain/continuous wave clinical system for breast imaging. , 2003, Medical physics.

[51]  Bernhard Brendel,et al.  Diffuse optical tomography of the breast: preliminary findings of a new prototype and comparison with magnetic resonance imaging , 2009, European Radiology.

[52]  K D Paulsen,et al.  Simultaneous reconstruction of optical absorption and scattering maps in turbid media from near-infrared frequency-domain data. , 1995, Optics letters.

[53]  S R Arridge,et al.  Recent advances in diffuse optical imaging , 2005, Physics in medicine and biology.

[54]  Hamid Dehghani,et al.  Near infrared optical tomography using NIRFAST: Algorithm for numerical model and image reconstruction. , 2009, Communications in numerical methods in engineering.

[55]  K Paulsen,et al.  Instrumentation and design of a frequency-domain diffuse optical tomography imager for breast cancer detection. , 1997, Optics express.

[56]  S. Arridge,et al.  Optical imaging in medicine: II. Modelling and reconstruction , 1997, Physics in medicine and biology.