Omprakash Gottam, N. Naik, Prabodh Kumar Pandey, S. Gambhir
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引用次数: 0
Abstract
Pharmacokinetic fluorescence optical tomography (PK-FOT) and dynamic contrast enhancement (DCE) based multispectral optoacoustic tomography (DCE-MSOT) are non-ionizing alternatives to nuclear medicine and radiological modalities such as DCE-PET/CT/MRI for spatially-resolved quantitative imaging of PK parameters and fluorophore-concentrations. The present work introduces for the first time in literature, a fluorescence photoacoustic tomography (FPAT) based fully-nonlinear PK-FPAT reconstruction framework; in a 2-compartment PK-model and optical-fluorescence modelled frequency domain photoacoustic equation setting. From boundary pressure measurements, we solve the dynamic FPAT (compartment-concentration) state and (PK) parameter estimation problem with two shape-based RBF level-set reconstruction schemes in regularized trust region settings; a Jacobian-based Gauss–Newton filter and our newly proposed gradient-based gradient filter. The reconstruction algorithms are validated in two dimensional settings with synthetic cancer mimicking phantoms. Our PK-FPAT algorithms lead to more stable and superior reconstructions (observed in reconstructed normalized mean square errors having lesser-variation-between and reduced-values-across data-noise levels, respectively) than those obtained by PK-FOT for similar test cases, while, with respect to current DCE-MSOT schemes, incorporating more complete forward models including optical fluorescence and coupled-ODE compartment models with no simplifying assumptions (within the accuracy of the models considered) on the fluence, and reconstructing actual (rather than scaled) PK-parameters, in a fully-nonlinear framework.
期刊介绍:
Inverse Problems in Science and Engineering provides an international forum for the discussion of conceptual ideas and methods for the practical solution of applied inverse problems. The Journal aims to address the needs of practising engineers, mathematicians and researchers and to serve as a focal point for the quick communication of ideas. Papers must provide several non-trivial examples of practical applications. Multidisciplinary applied papers are particularly welcome.
Topics include:
-Shape design: determination of shape, size and location of domains (shape identification or optimization in acoustics, aerodynamics, electromagnets, etc; detection of voids and cracks).
-Material properties: determination of physical properties of media.
-Boundary values/initial values: identification of the proper boundary conditions and/or initial conditions (tomographic problems involving X-rays, ultrasonics, optics, thermal sources etc; determination of thermal, stress/strain, electromagnetic, fluid flow etc. boundary conditions on inaccessible boundaries; determination of initial chemical composition, etc.).
-Forces and sources: determination of the unknown external forces or inputs acting on a domain (structural dynamic modification and reconstruction) and internal concentrated and distributed sources/sinks (sources of heat, noise, electromagnetic radiation, etc.).
-Governing equations: inference of analytic forms of partial and/or integral equations governing the variation of measured field quantities.