Abstract

A framework for efficient formulation of the inverse model in diffuse optical tomography, incorporating parallel computing is proposed. Based on 24 subjects, a tenfold speed increase and a hundredfold memory efficiency is reported, whilst maintaining reconstruction quality.

Original languageEnglish
Title of host publicationDiffuse Optical Spectroscopy and Imaging VI
EditorsHamid Dehghani, Heidrun Wabnitz
PublisherSPIE
ISBN (Electronic)9781510612822
DOIs
StatePublished - 2017
EventDiffuse Optical Spectroscopy and Imaging VI 2017 - Munich, Germany
Duration: Jun 25 2017Jun 27 2017

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10412
ISSN (Print)1605-7422

Conference

ConferenceDiffuse Optical Spectroscopy and Imaging VI 2017
Country/TerritoryGermany
CityMunich
Period06/25/1706/27/17

Fingerprint

Dive into the research topics of 'Towards real-time functional human brain imaging with diffuse optical tomography'. Together they form a unique fingerprint.

Cite this