• DocumentCode
    60521
  • Title

    Experimental Comparison of Continuous-Wave and Frequency-Domain Fluorescence Tomography in a Commercial Multi-Modal Scanner

  • Author

    Yujie Lu ; Darne, Chinmay D. ; I-Chih Tan ; Banghe Zhu ; Rightmer, Ryan ; Rasmussen, John C. ; Sevick-Muraca, Eva M.

  • Author_Institution
    Brown Found. Inst. of Mol. Med., Univ. of Texas Health Sci. Center, Houston, TX, USA
  • Volume
    34
  • Issue
    6
  • fYear
    2015
  • fDate
    Jun-15
  • Firstpage
    1197
  • Lastpage
    1211
  • Abstract
    The performance evaluation of a variety of small animal tomography measurement approaches and algorithms for recovery of fluorescent absorption cross section has not been conducted. Herein, we employed an intensified CCD system installed in a commercial small animal CT (Computed Tomography) scanner to compare image reconstructions from time-independent, continuous wave (CW) measurements and from time-dependent, frequency domain (FD) measurements in a series of physical phantoms specifically designed for evaluation. Comparisons were performed as a function of 1) number of projections, 2) the level of preprocessing filters used to improve the signal-to-noise ratio (SNR), 3) endogenous heterogeneity of optical properties, as well as in the cases of 4) two fluorescent targets and 5) a mouse-shaped phantom. Assessment of quantitative recovery of fluorescence absorption cross section was performed using a fully parallel, regularization-free, linear reconstruction algorithm with diffusion approximation (DA) and high order simplified spherical harmonics ( SPN) approximation to the radiative transport equation (RTE). The results show that while FD measurements may result in superior image reconstructions over CW measurements, data acquisition times are significantly longer, necessitating further development of multiple detector/source configurations, improved data read-out rates, and detector technology. FD measurements with SP3 reconstructions enabled better quantitative recovery of fluorescent target strength, but required increased computational expense. Despite the developed parallel reconstruction framework being able to achieve more than 60 times speed increase over sequential implementation, further development in faster parallel acceleration strategies for near-real time and real-time image recovery and more precise forward solution is necessary.
  • Keywords
    CCD image sensors; computerised tomography; fluorescence; image reconstruction; medical image processing; optical tomography; parallel algorithms; phantoms; Computed Tomography; DA; RTE; SNR; SP3 reconstructions; SPN; commercial multimodal scanner; commercial small animal CT scanner; continuous wave measurement; continuous-wave fluorescence tomography; data acquisition time; data read-out rates; detector technology; diffusion approximation; fluorescent absorption cross section; fluorescent target strength; fluorescent targets; frequency domain measurement; frequency-domain fluorescence tomography; high order simplified spherical harmonics approximation; image reconstruction; intensified CCD system; linear reconstruction algorithm; mouse-shaped phantom; multiple detector; near-real time image recovery; optical properties; parallel acceleration strategies; parallel reconstruction framework; physical phantoms; preprocessing filter level; projection number; quantitative recovery; radiative transport equation; real-time image recovery; regularization-free algorithm; sequential implementation; signal-to-noise ratio; small animal tomography measurement; source configuration; time-dependent measurement; time-independent measurement; Animals; Fluorescence; Image reconstruction; Optical imaging; Phantoms; Tomography; Continuous-wave measurement; fluorescence tomography; multimodal small animal imaging system; reconstruction algorithm; time-dependent measurement;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2014.2375193
  • Filename
    6967843