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
Article number247189
Pages (from-to)4567-4584
Number of pages18
JournalBiomedical Optics Express
Issue number11
StatePublished - Oct 26 2015


  • Functional monitoring and imaging
  • Image reconstruction techniques
  • Light propagation in tissues
  • Tomography


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