Fast and efficient image reconstruction for high density diffuse optical imaging of the human brain

Research output: Contribution to journalArticlepeer-review


  • Xue Wu
  • Adam T Eggebrecht
  • Silvina L Ferradal
  • Joseph P Culver
  • Hamid Dehghani

Colleges, School and Institutes

External organisations

  • Department of Radiology, Washington University School of Medicine, 4525 Scott Avenue, St. Louis, MO, 63110, USA
  • Department of Biomedical Engineering, Washington University, One Brookings Drive, St. Louis, MO, 63130, USA
  • Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA


Real-time imaging of human brain has become an important technique within neuroimaging. In this study, a fast and efficient sensitivity map generation based on Finite Element Models (FEM) is developed which utilises a reduced sensitivitys matrix taking advantage of sparsity and parallelisation processes. Time and memory efficiency of these processes are evaluated and compared with conventional method showing that for a range of mesh densities from 50000 to 320000 nodes, the required memory is reduced over tenfold and computational time fourfold allowing for near real-time image recovery.


Original languageEnglish
Pages (from-to)4567-4584
JournalBiomedical Optics Express
Issue number11
Publication statusPublished - 26 Oct 2015