Direct reconstruction in CT-analogous pharmacokinetic diffuse fluorescence tomography: two-dimensional simulative and experimental validations

Abstract. We present a generalized strategy for direct reconstruction in pharmacokinetic diffuse fluorescence tomography (DFT) with CT-analogous scanning mode, which can accomplish one-step reconstruction of the indocyanine-green pharmacokinetic-rate images within in vivo small animals by incorporating the compartmental kinetic model into an adaptive extended Kalman filtering scheme and using an instantaneous sampling dataset. This scheme, compared with the established indirect and direct methods, eliminates the interim error of the DFT inversion and relaxes the expensive requirement of the instrument for obtaining highly time-resolved date-sets of complete 360 deg projections. The scheme is validated by two-dimensional simulations for the two-compartment model and pilot phantom experiments for the one-compartment model, suggesting that the proposed method can estimate the compartmental concentrations and the pharmacokinetic-rates simultaneously with a fair quantitative and localization accuracy, and is well suitable for cost-effective and dense-sampling instrumentation based on the highly-sensitive photon counting technique.

[1]  J. Jacquez Compartmental analysis in biology and medicine: Kinetics of distribution of tracer-labeled materials , 1972 .

[2]  David H. Anderson Compartmental Modeling and Tracer Kinetics , 1983 .

[3]  D. Mungall Applied Clinical Pharmacokinetics , 1983 .

[4]  Mohamed Boutayeb,et al.  A strong tracking extended Kalman observer for nonlinear discrete-time systems , 1999, IEEE Trans. Autom. Control..

[5]  T. Desmettre,et al.  Fluorescence properties and metabolic features of indocyanine green (ICG) as related to angiography. , 2000, Survey of ophthalmology.

[6]  R. Weissleder,et al.  Experimental three-dimensional fluorescence reconstruction of diffuse media by use of a normalized Born approximation. , 2001, Optics letters.

[7]  H. Maeda The enhanced permeability and retention (EPR) effect in tumor vasculature: the key role of tumor-selective macromolecular drug targeting. , 2001, Advances in enzyme regulation.

[8]  R. Weissleder,et al.  Fluorescence molecular tomography resolves protease activity in vivo , 2002, Nature Medicine.

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

[10]  Anthony J. Durkin,et al.  In vivo quantification of optical contrast agent dynamics in rat tumors by use of diffuse optical spectroscopy with magnetic resonance imaging coregistration. , 2003, Applied optics.

[11]  J. Ripoll,et al.  In vivo continuous-wave optical breast imaging enhanced with Indocyanine Green. , 2003, Medical physics.

[12]  M. Efe,et al.  An Adaptive Extended Kalman Filter with Application to Compartment Models , 2004 .

[13]  C. Bouman,et al.  Estimation of kinetic model parameters in fluorescence optical diffusion tomography. , 2005, Journal of the Optical Society of America. A, Optics, image science, and vision.

[14]  Britton Chance,et al.  Extended Kalman Filtering for the Modeling and Analysis of ICG Pharmacokinetics in Cancerous Tumors Using NIR Optical Methods , 2006, IEEE Transactions on Biomedical Engineering.

[15]  V. Ntziachristos,et al.  Development of fluorescent materials for Diffuse Fluorescence Tomography standards and phantoms. , 2007, Optics express.

[16]  Huijuan Zhao,et al.  Three-dimensional scheme for time-domain fluorescence molecular tomography based on Laplace transforms with noise-robust factors. , 2008, Optics express.

[17]  B. Chance,et al.  Pharmacokinetic-rate images of indocyanine green for breast tumors using near-infrared optical methods , 2008, Physics in medicine and biology.

[18]  Birsen Yazici,et al.  Direct Reconstruction of Pharmacokinetic-Rate Images of Optical Fluorophores From NIR Measurements , 2009, IEEE Transactions on Medical Imaging.

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

[20]  Xin Liu,et al.  Imaging of Indocyanine Green Perfusion in Mouse Liver With Fluorescence Diffuse Optical Tomography , 2011, IEEE Transactions on Biomedical Engineering.

[21]  P. Choyke,et al.  Near infrared fluorescence‐guided real‐time endoscopic detection of peritoneal ovarian cancer nodules using intravenously injected indocyanine green , 2011, International journal of cancer.

[22]  Jianwen Luo,et al.  4-D Reconstruction for Dynamic Fluorescence Diffuse Optical Tomography , 2012, IEEE Transactions on Medical Imaging.

[23]  Wei Zhang,et al.  A high-sensitive diffuse fluorescence tomography system with CT-analogous scanning mode , 2012, BiOS.

[24]  D L Buckley,et al.  Tracer kinetic modelling in MRI: estimating perfusion and capillary permeability , 2012, Physics in medicine and biology.

[25]  Huijuan Zhao,et al.  Enhancement of fluorescence molecular tomography with structural-prior-based diffuse optical tomography: combating optical background uncertainty. , 2014, Applied optics.

[26]  Steven P. Sourbron,et al.  A Tracer-Kinetic Field Theory for Medical Imaging , 2014, IEEE Transactions on Medical Imaging.

[27]  Jianwen Luo,et al.  A Direct Method With Structural Priors for Imaging Pharmacokinetic Parameters in Dynamic Fluorescence Molecular Tomography , 2014, IEEE Transactions on Biomedical Engineering.

[28]  Jianwen Luo,et al.  Full-direct method for imaging pharmacokinetic parameters in dynamic fluorescence molecular tomography , 2015 .

[29]  Xin Wang,et al.  Performance Enhancement of Pharmacokinetic Diffuse Fluorescence Tomography by Use of Adaptive Extended Kalman Filtering , 2015, Comput. Math. Methods Medicine.

[30]  Jianwen Luo,et al.  Reconstruction of Fluorophore Concentration Variation in Dynamic Fluorescence Molecular Tomography , 2015, IEEE Transactions on Biomedical Engineering.

[31]  Jonathan T. C. Liu,et al.  Quantitative in vivo cell-surface receptor imaging in oncology: kinetic modeling and paired-agent principles from nuclear medicine and optical imaging , 2015, Physics in medicine and biology.

[32]  Jianwen Luo,et al.  Bayesian Framework Based Direct Reconstruction of Fluorescence Parametric Images , 2015, IEEE Transactions on Medical Imaging.