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Estrada, H. ; Huang, X. ; Rebling, J. ; Zwack, M. ; Gottschalk, S. ; Razansky, D.

Virtual craniotomy for high-resolution optoacoustic brain microscopy.

Sci. Rep. 8:1459 (2018)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
© 2018 The Author(s). Ultrasound-mediated transcranial images of the brain often suffer from acoustic distortions produced by the skull bone. In high-resolution optoacoustic microscopy, the skull-induced acoustic aberrations are known to impair image resolution and contrast, further skewing the location and intensity of the different absorbing structures. We present a virtual craniotomy deconvolution algorithm based on an ultrasound wave propagation model that corrects for the skull-induced distortions in optically-resolved optoacoustic transcranial microscopy data. The method takes advantage of the geometrical and spectral information of a pulse-echo ultrasound image of the skull simultaneously acquired by our multimodal imaging system. Transcranial mouse brain imaging experiments confirmed the ability to accurately account for the signal amplitude decay, temporal delay and pulse broadening introduced by the rodent's skull. Our study is the first to demonstrate skull-corrected transcranial optoacoustic imaging in vivo.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Human Skull; Photoacoustic Microscopy; Murine Skull; Mouse-brain; Ultrasound; Tomography; Media; Waves
Language english
Publication Year 2018
HGF-reported in Year 2018
ISSN (print) / ISBN 2045-2322
e-ISSN 2045-2322
Journal Scientific Reports
Quellenangaben Volume: 8, Issue: 1, Pages: , Article Number: 1459 Supplement: ,
Publisher Nature Publishing Group
Publishing Place London
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-505590-001
DOI 10.1038/s41598-017-18857-y
WOS ID WOS:000423046600003
Scopus ID 85040963455
PubMed ID 29362486
Erfassungsdatum 2018-01-29
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