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Weight Multispectral Reconstruction Strategy for Enhanced Reconstruction Accuracy and Stability with Cerenkov Luminescence Tomography

  • Hongbo Guo
  • , Xiaowei He
  • , Muhan Liu
  • , Zeyu Zhang
  • , Zhenhua Hu
  • , Jie Tian*
  • *Corresponding author for this work
  • Northwest University China
  • CAS - Institute of Automation
  • Xidian University
  • School of Life Science and Technology, Xidian University
  • Beijing Key Laboratory of Molecular Imaging
  • Chinese Academy of Sciences

Research output: Contribution to journalArticlepeer-review

Abstract

Cerenkov luminescence tomography (CLT) provides a novel technique for 3-D noninvasive detection of radiopharmaceuticals in living subjects. However, because of the severe scattering of Cerenkov light, the reconstruction accuracy and stability of CLT is still unsatisfied. In this paper, a modified weight multispectral CLT (wmCLT) reconstruction strategy was developed which split the Cerenkov radiation spectrum into several sub-spectral bands and weighted the sub-spectral results to obtain the final result. To better evaluate the property of the wmCLT reconstruction strategy in terms of accuracy, stability and practicability, several numerical simulation experiments and in vivo experiments were conducted and the results obtained were compared with the traditional multispectral CLT (mCLT) and hybrid-spectral CLT (hCLT) reconstruction strategies. The numerical simulation results indicated that wmCLT strategy significantly improved the accuracy of Cerenkov source localization and intensity quantitation and exhibited good stability in suppressing noise in numerical simulation experiments. And the comparison of the results achieved from different in vivo experiments further indicated significant improvement of the wmCLT strategy in terms of the shape recovery of the bladder and the spatial resolution of imaging xenograft tumors. Overall the strategy reported here will facilitate the development of nuclear and optical molecular tomography in theoretical study.

Original languageEnglish
Article number7840012
Pages (from-to)1337-1346
Number of pages10
JournalIEEE Transactions on Medical Imaging
Volume36
Issue number6
DOIs
StatePublished - Jun 2017
Externally publishedYes

Keywords

  • Cerenkov luminescence tomography
  • Weight multispectral reconstruction
  • inverse problem

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