We are proposing studies to determine the resolution limits for fluorescence diffuse optical tomography (FDOT) using over-sampled measurements. It will exploit the combined expertise of two NCRR National Resources: data acquisition using the recently established Molecular Imaging Workbench at the Duke Center for In Vivo Microscopy (CIVM) and image reconstruction using the parallel computing facilities at the Pittsburgh Supercomputer Center (PSC). Specifically, we will be conducting the following studies: (i) Develop a modular open-source software package for FDOT simulations and image reconstruction;(ii) Determine FDOT resolution limits in imaging phantoms;and (iii) Determine the resolution limits with prior anatomical information and apply the technology to lung cancer imaging in mice.
(provided by applicant): The goal of this proposal is to investigate the resolution limit in 3D fluorescence imaging for small animals. The effects of anatomical prior information from micro-CT will also be studied. Image reconstruction will be based on a Monte Carlo method using parallel computing on supercomputers.
|Zhang, Xiaofeng (2014) Instrumentation in Diffuse Optical Imaging. Photonics 1:9-32|
|Zhang, Xiaofeng (2013) Super-resolution method for arbitrary retrospective sampling in fluorescence tomography with raster scanning photodetectors. Proc SPIE Int Soc Opt Eng 8572:|
|Zhang, Xiaofeng; Webb, Andrew (2012) Detectability of absorption and reduced scattering coefficients in frequency-domain measurements using a realistic head phantom. Sensors (Basel) 13:152-64|
|Zhang, Xiaofeng (2012) Construction of the Jacobian matrix for fluorescence diffuse optical tomography using a perturbation Monte Carlo method. Proc SPIE Int Soc Opt Eng 8216:82160O|
|Zhang, Xiaofeng; Badea, Cristian T (2011) Highly efficient detection in fluorescence tomography of quantum dots using time-gated acquisition and ultrafast pulsed laser. Proc SPIE Int Soc Opt Eng 7896:|
|Zhang, Xiaofeng; Badea, Cristian; Hood, Greg et al. (2011) High-resolution reconstruction of fluorescent inclusions in mouse thorax using anatomically guided sampling and parallel Monte Carlo computing. Biomed Opt Express 2:2449-60|
|Zhang, Xiaofeng; Badea, Cristian T; Hood, Greg et al. (2010) Free-space fluorescence tomography with adaptive sampling based on anatomical information from microCT. Proc SPIE Int Soc Opt Eng 7757:|