Pixel-based parametric source depth map for Cerenkov luminescence imaging

L. Altabella, F. Boschi, A. E. Spinelli

Research output: Contribution to journalArticle

Abstract

Optical tomography represents a challenging problem in optical imaging because of the intrinsically ill-posed inverse problem due to photon diffusion. Cerenkov luminescence tomography (CLT) for optical photons produced in tissues by several radionuclides (i.e.: 32P, 18F, 90Y), has been investigated using both 3D multispectral approach and multiviews methods. Difficult in convergence of 3D algorithms can discourage to use this technique to have information of depth and intensity of source. For these reasons, we developed a faster 2D corrected approach based on multispectral acquisitions, to obtain source depth and its intensity using a pixel-based fitting of source intensity. Monte Carlo simulations and experimental data were used to develop and validate the method to obtain the parametric map of source depth. With this approach we obtain parametric source depth maps with a precision between 3% and 7% for MC simulation and 5-6% for experimental data. Using this method we are able to obtain reliable information about the source depth of Cerenkov luminescence with a simple and flexible procedure.

Original languageEnglish
Article numberC01048
JournalJournal of Instrumentation
Volume11
Issue number1
DOIs
Publication statusPublished - Jan 20 2016

Keywords

  • Image processing
  • Pattern recognition, cluster finding, calibration and fitting methods

ASJC Scopus subject areas

  • Instrumentation
  • Mathematical Physics

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