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Mapping of bioluminescent images onto CT volume surface for dual-modality BLT and CT imaging

  • Xueli Chen
  • , Jimin Liang*
  • , Xiaochao Qu
  • , Yanbin Hou
  • , Shouping Zhu
  • , Duofang Chen
  • , Xinbo Gao
  • , Jie Tian
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We present a method for mapping the two-dimensional (2D) bioluminescent images (BLIs) onto a three-dimensional (3D) body surface derived from the computed tomography (CT) volume data. This mapping includes two closely-related steps, the spatial registration of the 2D BLIs into the coordinate system of the CT volume data and the light flux recovering on the body surface from BLIs. By labeling markers on the body surface, we proposed an effective registration method to achieve the spatial position alignment. The subsequent light flux recovering is presented based on the inverse process of the free-space light transport model and taking the influence of the camera lens diaphragm into account. Incorporating the mapping procedure into the bioluminescence tomography (BLT) reconstruction, we developed a dual-modality BLT and CT imaging framework to provide both optical and anatomical information. The accuracy of the registration and the light flux recovering methods were evaluated via physical phantom experiments. The registration method was found to have a mean error of 0.41 mm and 0.35 mm in horizontal and vertical direction, and the accuracy of the light flux recovering method was below 5%. Furthermore, we evaluated the performance of the dual-modality BLT/CT imaging framework using a mouse phantom. Preliminary results revealed the potential and feasibility of the dual-modality imaging framework.

Original languageEnglish
Pages (from-to)31-44
Number of pages14
JournalJournal of X-Ray Science and Technology
Volume20
Issue number1
DOIs
StatePublished - 2012
Externally publishedYes

Keywords

  • Dual-modality imaging
  • bioluminescence tomography (BLT)
  • computed tomography (CT)
  • light flux recovering
  • spatial registration

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