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

Xue Wu | Zendy; Adam T. Eggebrecht | Zendy; Silvina L. Ferradal | Zendy; Joseph P. Culver | Zendy; Hamid Dehghani | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Xue Wu,

Adam T. Eggebrecht,

Silvina L. Ferradal,

Joseph P. Culver,

Hamid Dehghani

Publication year - 2015

Publication title -

biomedical optics express

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.362

H-Index - 86

ISSN - 2156-7085

DOI - 10.1364/boe.6.004567

Subject(s) - diffuse optical imaging , computer science , neuroimaging , iterative reconstruction , computer vision , image processing , image (mathematics) , artificial intelligence , finite element method , sensitivity (control systems) , optics , neuroscience , physics , electronic engineering , engineering , biology , thermodynamics

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research