PuSH - Publication Server of Helmholtz Zentrum München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Mercep, E. ; Dean-Ben, X.L. ; Razansky, D.

Combined pulse-echo ultrasound and multispectral optoacoustic tomography with a multi-segment detector array.

IEEE Trans. Med. Imaging 36, 2129-2137 (2017)
Postprint DOI PMC
Open Access Green
The high complementarity of ultrasonography and optoacoustic tomography has prompted the development of combined approaches that utilize the same transducer array for detecting both optoacoustic and pulse-echo ultrasound responses from tissues. Yet, due to the fundamentally different physical contrast and image formation mechanisms, the development of detection technology optimally suited for image acquisition in both modalities remains a major challenge. Herein, we introduce a multi-segment detector array approach incorporating array segments of linear and concave geometry to optimally support both ultrasound and optoacoustic image acquisition. The various image rendering strategies are tested and optimized in numerical simulations and calibrated tissue-mimicking phantom experiments. We subsequently demonstrate real-time hybrid optoacoustic ultrasound (OPUS) image acquisition in a healthy volunteer. The new approach enables the acquisition of highquality anatomical data by both modalities complemented by functional information on blood oxygenation status provided by the multispectral optoacoustic tomography.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
3.942
2.369
31
38
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 Anatomical Structure ; Photoacoustic Imaging ; Ultrasonography ; Ultrasonic Transducers; Hand-held Probe; In-vivo; Cardiovascular Dynamics; Coherence Tomography; System; Vasculature; Microscopy; Inversion; Perfusion; Cancer
Language english
Publication Year 2017
HGF-reported in Year 2017
ISSN (print) / ISBN 0278-0062
e-ISSN 1558-254X
Journal IEEE Transactions on Medical Imaging
Quellenangaben Volume: 36, Issue: 10, Pages: 2129-2137 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-505590-001
DOI 10.1109/TMI.2017.2706200
WOS ID WOS:000412216800013
PubMed ID 28541198
Erfassungsdatum 2017-06-23
[➜Report correction]