Comparisons of diffuse optical imaging between direct-current and amplitude-modulation instrumentations

Abstract Breast tissues like fatty and fibroglandular ones are adipose mainly and possess high scattering nature, so that they diffuse and make the light approximately uniformly distribute over the measured cross-section besides absorbing to reduce the light intensity. Strong cause-and-effect relationships exist between absorption and intensity decay, and between scattering and phase delay as well. Thereby in a diffuse optical imaging system it is a general practice to estimate absorption coefficients from the measured intensity since it reflects most of the absorption property. This study aims to illustrate that both μa and μs′ images of breast can be reconstructed by only direct-current data reliably to a certain extent. Varied sets of phantom design with assigned absorption/scattering properties for inclusion and background were synthesized and image reconstructed to demonstrate this perspective. Moreover, we employed a slab-type diffuse optical imaging system with a dual-direction direct-current NIR measurement module, where reconstructed images were compared between with and without reflectance NIR data.

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

[2]  M. Schweiger,et al.  Photon-measurement density functions. Part 2: Finite-element-method calculations. , 1995, Applied optics.

[3]  S. Arridge,et al.  Nonuniqueness in diffusion-based optical tomography. , 1998, Optics letters.

[4]  B. Pogue,et al.  Spatially variant regularization improves diffuse optical tomography. , 1999, Applied optics.

[5]  H Jiang,et al.  Quantitative optical image reconstruction of turbid media by use of direct-current measurements. , 2000, Applied optics.

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

[7]  T. Khan,et al.  Absorption and scattering images of heterogeneous scattering media can be simultaneously reconstructed by use of dc data. , 2002, Applied optics.

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

[9]  E. Miller,et al.  Tomographic optical breast imaging guided by three-dimensional mammography. , 2003, Applied optics.

[10]  R. Cubeddu,et al.  Bulk optical properties and tissue components in the female breast from multiwavelength time-resolved optical mammography. , 2004, Journal of biomedical optics.

[11]  M. Schweiger,et al.  Gauss–Newton method for image reconstruction in diffuse optical tomography , 2005, Physics in medicine and biology.

[12]  M. Schweiger,et al.  Diffuse optical tomography with spectral constraints and wavelength optimization. , 2005, Applied optics.

[13]  Quan Zhang,et al.  Coregistered tomographic x-ray and optical breast imaging: initial results. , 2005, Journal of biomedical optics.

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

[15]  Arye Nehorai,et al.  Image reconstruction for diffuse optical tomography using sparsity regularization and expectation-maximization algorithm. , 2007, Optics express.

[16]  M. Schweiger,et al.  Anisotropic diffusion regularization methods for diffuse optical tomography using edge prior information , 2006 .

[17]  M. Schweiger,et al.  Three-dimensional time-resolved optical mammography of the uncompressed breast , 2007 .

[18]  Chien-Hung Chen,et al.  Highly resolved diffuse optical tomography: a systematic approach using high-pass filtering for value-preserved images. , 2008, Journal of biomedical optics.

[19]  H. Dehghani,et al.  Diffuse optical imaging , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[20]  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.

[21]  S. Semenov Microwave tomography: review of the progress towards clinical applications , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[22]  S. Arridge,et al.  A combined reconstruction–classification method for diffuse optical tomography , 2009, Physics in medicine and biology.

[23]  Min-Cheng Pan,et al.  Near infrared tomographic system based on high angular resolution mechanism – Design, calibration, and performance , 2009 .

[24]  B. Harrach On uniqueness in diffuse optical tomography , 2009 .

[25]  Hamid Dehghani,et al.  Numerical modelling and image reconstruction in diffuse optical tomography , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[26]  Hua-bei Jiang Diffuse Optical Tomography , 2010 .

[27]  Min-Cheng Pan,et al.  Rapid convergence to the inverse solution regularized with Lorentzian distributed function for near-infrared continuous wave diffuse optical tomography. , 2010, Journal of biomedical optics.

[28]  Min-Chun Pan,et al.  Implementation of edge-preserving regularization for frequency-domain diffuse optical tomography. , 2012, Applied optics.

[29]  Min-Cheng Pan,et al.  Flexible near-infrared diffuse optical tomography with varied weighting functions of edge-preserving regularization. , 2013, Applied optics.

[30]  Sheng-Yih Sun,et al.  Parallel Scanning Architecture for Mammogram-Based Diffuse Optical Imaging , 2013 .