Smart Toolkit for Fluorescence Tomography: Simulation, Reconstruction, and Validation Articles uri icon

publication date

  • April 2019

start page

  • 16

end page

  • 26

issue

  • 1

volume

  • 67

International Standard Serial Number (ISSN)

  • 0018-9294

Electronic International Standard Serial Number (EISSN)

  • 1558-2531

abstract

  • Objective: Fluorescence molecular tomography (FMT) can provide valuable molecular information by mapping the bio-distribution of fluorescent reporter molecules in the intact organism. Various prototype FMT systems have been introduced during the past decade. However, none of them has evolved as a standard tool for routine biomedical research. The goal of this paper is to develop a software package that can automate the complete FMT reconstruction procedure. Methods: We present smart toolkit for fluorescence tomography (STIFT), a comprehensive platform comprising three major protocols: 1) virtual FMT, i.e., forward modeling and reconstruction of simulated data; 2) control of actual FMT data acquisition; and 3) reconstruction of experimental FMT data. Results: Both simulation and phantom experiments have shown robust reconstruction results for homogeneous and heterogeneous tissue-mimicking phantoms containing fluorescent inclusions. Conclusion: STIFT can be used for optimization of FMT experiments, in particular for optimizing illumination patterns. Significance: This paper facilitates FMT experiments by bridging the gaps between simulation, actual experiments, and data reconstruction.

keywords

  • finite element modeling; fluorescence tomography; image reconstruction; optimization; validation