Towards real-time functional human brain imaging with diffuse optical tomography

Matthaios Doulgerakis; Adam Eggebrecht; Joseph Culver; Hamid Dehghani

doi:10.1117/12.2285983

Towards real-time functional human brain imaging with diffuse optical tomography

Matthaios Doulgerakis, Adam Eggebrecht, Joseph Culver, Hamid Dehghani

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English
Title of host publication	Diffuse Optical Spectroscopy and Imaging VI
Editors	Hamid Dehghani, Heidrun Wabnitz
Publisher	SPIE
ISBN (Electronic)	9781510612822
DOIs	https://doi.org/10.1117/12.2285983
Publication status	Published - 2017
Event	Diffuse Optical Spectroscopy and Imaging VI 2017 - Munich, Germany Duration: 25 Jun 2017 → 27 Jun 2017

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10412
ISSN (Print)	1605-7422

Conference

Conference	Diffuse Optical Spectroscopy and Imaging VI 2017
Country/Territory	Germany
City	Munich
Period	25/06/17 → 27/06/17

Bibliographical note

Funding Information:
This work has been funded by the National Institutes of Health (NIH) Grant R01EB009233-2, RO1-CA132750 and NIH-MH-K01-103594.

Publisher Copyright:
© 2017 OSA-SPIE.

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Biomaterials
Atomic and Molecular Physics, and Optics
Radiology Nuclear Medicine and imaging

Access to Document

10.1117/12.2285983

Cite this

@inproceedings{3aef800be9534186a7850b79bd57f21a,

title = "Towards real-time functional human brain imaging with diffuse optical tomography",

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.",

author = "Matthaios Doulgerakis and Adam Eggebrecht and Joseph Culver and Hamid Dehghani",

note = "Funding Information: This work has been funded by the National Institutes of Health (NIH) Grant R01EB009233-2, RO1-CA132750 and NIH-MH-K01-103594. Publisher Copyright: {\textcopyright} 2017 OSA-SPIE.; Diffuse Optical Spectroscopy and Imaging VI 2017 ; Conference date: 25-06-2017 Through 27-06-2017",

year = "2017",

doi = "10.1117/12.2285983",

language = "English",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE",

editor = "Hamid Dehghani and Heidrun Wabnitz",

booktitle = "Diffuse Optical Spectroscopy and Imaging VI",

}

Doulgerakis, M, Eggebrecht, A, Culver, J & Dehghani, H 2017, Towards real-time functional human brain imaging with diffuse optical tomography. in H Dehghani & H Wabnitz (eds), Diffuse Optical Spectroscopy and Imaging VI., 1041209, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10412, SPIE, Diffuse Optical Spectroscopy and Imaging VI 2017, Munich, Germany, 25/06/17. https://doi.org/10.1117/12.2285983

Towards real-time functional human brain imaging with diffuse optical tomography. / Doulgerakis, Matthaios; Eggebrecht, Adam; Culver, Joseph et al.
Diffuse Optical Spectroscopy and Imaging VI. ed. / Hamid Dehghani; Heidrun Wabnitz. SPIE, 2017. 1041209 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10412).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Towards real-time functional human brain imaging with diffuse optical tomography

AU - Doulgerakis, Matthaios

AU - Eggebrecht, Adam

AU - Culver, Joseph

AU - Dehghani, Hamid

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85033401432&partnerID=8YFLogxK

U2 - 10.1117/12.2285983

DO - 10.1117/12.2285983

M3 - Conference contribution

AN - SCOPUS:85033401432

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Diffuse Optical Spectroscopy and Imaging VI

A2 - Dehghani, Hamid

A2 - Wabnitz, Heidrun

PB - SPIE

T2 - Diffuse Optical Spectroscopy and Imaging VI 2017

Y2 - 25 June 2017 through 27 June 2017

ER -

Towards real-time functional human brain imaging with diffuse optical tomography

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this