Shape-parameterized diffuse optical tomography holds promise for sensitivity enhancement of fluorescence molecular tomography.

A fundamental approach to enhancing the sensitivity of the fluorescence molecular tomography (FMT) is to incorporate diffuse optical tomography (DOT) to modify the light propagation modeling. However, the traditional voxel-based DOT has been involving a severely ill-posed inverse problem and cannot retrieve the optical property distributions with the acceptable quantitative accuracy and spatial resolution. Although, with the aid of an anatomical imaging modality, the structural-prior-based DOT method with either the hard- or soft-prior scheme holds promise for in vivo acquiring the optical background of tissues, the low robustness of the hard-prior scheme to the segmentation error and inferior performance of the soft-prior one in the quantitative accuracy limit its further application. We propose in this paper a shape-parameterized DOT method for not only effectively determining the regional optical properties but potentially achieving reasonable structural amelioration, lending itself to FMT for comparably improved recovery of fluorescence distribution.

[1]  Ville Kolehmainen,et al.  3D shape based reconstruction of experimental data in Diffuse Optical Tomography. , 2009, Optics express.

[2]  Simon R. Arridge,et al.  Three-dimensional reconstruction of shape and piecewise constant region values for optical tomography using spherical harmonic parametrization and a boundary element method , 2006 .

[3]  Franz Pfeiffer,et al.  FMT-PCCT: Hybrid Fluorescence Molecular Tomography—X-Ray Phase-Contrast CT Imaging of Mouse Models , 2014, IEEE Transactions on Medical Imaging.

[4]  Huabei Jiang,et al.  Diffuse optical tomography guided quantitative fluorescence molecular tomography. , 2008, Applied optics.

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

[6]  Ge Wang,et al.  A finite-element-based reconstruction method for 3D fluorescence tomography. , 2005, Optics express.

[7]  Vasilis Ntziachristos,et al.  Performance dependence of hybrid x-ray computed tomography/fluorescence molecular tomography on the optical forward problem. , 2009, Journal of the Optical Society of America. A, Optics, image science, and vision.

[8]  Eric L. Miller,et al.  Hybrid FMT–CT imaging of amyloid-β plaques in a murine Alzheimer's disease model , 2009, NeuroImage.

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

[10]  Edoardo Charbon,et al.  Hybrid Small Animal Imaging System Combining Magnetic Resonance Imaging With Fluorescence Tomography Using Single Photon Avalanche Diode Detectors , 2011, IEEE Transactions on Medical Imaging.

[11]  Feng Gao,et al.  Simultaneous fluorescence yield and lifetime tomography from time-resolved transmittances of small-animal-sized phantom. , 2010, Applied optics.

[12]  Martin Schweiger,et al.  Quantitative fluorescence diffuse optical tomography in the presence of heterogeneities. , 2013, Optics letters.

[13]  M. Niedre,et al.  Elucidating Structure and Function In Vivo With Hybrid Fluorescence and Magnetic Resonance Imaging , 2008, Proceedings of the IEEE.

[14]  David A. Boas,et al.  Compositional-prior-guided image reconstruction algorithm for multi-modality imaging , 2010, Biomedical optics express.

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

[16]  Anuradha Godavarty,et al.  Fluorescence-enhanced optical tomography using referenced measurements of heterogeneous media , 2003, IEEE Transactions on Medical Imaging.

[17]  Vasilis Ntziachristos,et al.  Revisiting the normalized Born approximation: effects of scattering. , 2011, Optics letters.

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

[19]  Martin Schweiger,et al.  Influence of absorption and scattering on the quantification of fluorescence diffuse optical tomography using normalized data. , 2012, Journal of biomedical optics.

[20]  Rinaldo Cubeddu,et al.  Combined reconstruction of fluorescent and optical parameters using time-resolved data. , 2009, Applied optics.

[21]  Philippe Pouliot,et al.  Hybrid FMT-MRI applied to in vivo atherosclerosis imaging. , 2014, Biomedical optics express.

[22]  Eric L. Miller,et al.  Parametric Level Set Methods for Inverse Problems , 2010, SIAM J. Imaging Sci..

[23]  V. Ntziachristos,et al.  FMT-XCT: in vivo animal studies with hybrid fluorescence molecular tomography–X-ray computed tomography , 2012, Nature Methods.

[24]  B. Pogue,et al.  Image-guided diffuse optical fluorescence tomography implemented with Laplacian-type regularization. , 2007, Optics express.

[25]  J. Culver,et al.  Time-dependent whole-body fluorescence tomography of probe bio-distributions in mice. , 2005, Optics express.

[26]  Gultekin Gulsen,et al.  Quantitative fluorescence tomography with functional and structural a priori information. , 2009, Applied optics.

[27]  C. Bouman,et al.  Fluorescence optical diffusion tomography. , 2003, Applied optics.

[28]  E. Miller,et al.  Parametric level set reconstruction methods for hyperspectral diffuse optical tomography , 2012, Biomedical optics express.

[29]  J. Ripoll,et al.  Diffuse photon propagation in multilayered geometries , 2006, Physics in medicine and biology.

[30]  Xiaochao Qu,et al.  Multilevel, hybrid regularization method for reconstruction of fluorescent molecular tomography. , 2012, Applied optics.

[31]  Simon R. Arridge,et al.  3-D shape and contrast reconstruction in optical tomography with level sets , 2008 .

[32]  F Gao,et al.  Simultaneous mapping of absorption and scattering coefficients from a three-dimensional model of time-resolved optical tomography. , 2000, Applied optics.

[33]  Jin He,et al.  High-Performance Fluorescence Molecular Tomography through Shape-Based Reconstruction Using Spherical Harmonics Parameterization , 2014, PloS one.

[34]  Eric L. Miller,et al.  Parametric estimation of 3D tubular structures for diffuse optical tomography , 2013, Biomedical optics express.

[35]  Jie Tian,et al.  Spectrally resolved three-dimensional bioluminescence tomography with a level-set strategy. , 2010, Journal of the Optical Society of America. A, Optics, image science, and vision.

[36]  B. Pogue,et al.  Three-dimensional optical tomography: resolution in small-object imaging. , 2003, Applied optics.

[37]  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.

[38]  R. Leahy,et al.  Digimouse: a 3D whole body mouse atlas from CT and cryosection data , 2007, Physics in medicine and biology.

[39]  Dana H. Brooks,et al.  Electrical Impedance Tomography for Piecewise Constant Domains Using Boundary Element Shape-Based Inverse Solutions , 2007, IEEE Transactions on Medical Imaging.

[40]  Geoffrey McLennan,et al.  Practical reconstruction method for bioluminescence tomography. , 2005, Optics express.

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

[42]  Brian Pogue,et al.  Quantitative fluorescence lifetime spectroscopy in turbid media: comparison of theoretical, experimental and computational methods. , 2002, Physics in medicine and biology.

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

[44]  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.