PuSH - Publication Server of Helmholtz Zentrum München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Mustafa, Q. ; Omar, M. ; Prade, L. ; Mohajerani, P. ; Stylogiannis, A. ; Ntziachristos, V. ; Zakian Dominguez, C.M.

In vivo three-dimensional Raster Scan Optoacoustic Mesoscopy using Frequency Domain Inversion.

IEEE Trans. Med. Imaging 40, 3349-3357 (2021)
Publ. Version/Full Text DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Optoacoustic signals are typically reconstructed into images using inversion algorithms applied in the time-domain. However, time-domain reconstructions can be computationally intensive and therefore slow when large amounts of raw data are collected from an optoacoustic scan. Here we consider a fast weighted ω-κ (FWOK) algorithm operating in the frequency domain to accelerate the inversion in raster-scan optoacoustic mesoscopy (RSOM), while seamlessly incorporating impulse response correction with minimum computational burden. We investigate the FWOK performance with RSOM measurements from phantoms and mice in vivo and obtained 360-fold speed improvement over inversions based on the back-projection algorithm in the time-domain. This previously unexplored inversion of in vivo optoacoustic data with impulse response correction in frequency domain reconstructions points to a promising strategy of accelerating optoacoustic imaging computations, toward video-rate tomography.
Impact Factor
Scopus SNIP
Scopus
Cited By
Altmetric
10.048
3.448
2
Tags
Annotations
Special Publikation
Hide on homepage

Edit extra information
Edit own tags
Private
Edit own annotation
Private
Hide on publication lists
on hompage
Mark as special
publikation
Publication type Article: Journal article
Document type Scientific Article
Keywords Detectors ; Fast Fourier Transform ; Frequency-domain Analysis ; Image Reconstruction ; Imaging ; Mathematical Model ; Mesoscopy ; Omega-k Migration ; Optoacoustics ; Photoacoustics ; Time-domain Analysis ; Transducers ; Transfer Function; Reconstruction; Tomography; Microscopy
Language english
Publication Year 2021
HGF-reported in Year 2021
ISSN (print) / ISBN 0278-0062
e-ISSN 1558-254X
Journal IEEE Transactions on Medical Imaging
Quellenangaben Volume: 40, Issue: 12, Pages: 3349-3357 Article Number: , Supplement: ,
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Publishing Place New York, NY [u.a.]
Reviewing status Peer reviewed
Institute(s) Institute of Biological and Medical Imaging (IBMI)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-505500-001
Grants European Union
Bundesministerium fur Bildung und Forschung (BMBF), Bonn, Germany
Deutsche Forschungsgemeinschaft (DFG)
DOI 10.1109/TMI.2021.3084356
WOS ID WOS:000724511900009
Scopus ID 85107176954
PubMed ID 34043507
Erfassungsdatum 2021-07-09
[➜Report correction]