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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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Anatomical Structure ; Photoacoustic Imaging ; Ultrasonography ; Ultrasonic Transducers; Hand-held Probe; In-vivo; Cardiovascular Dynamics; Coherence Tomography; System; Vasculature; Microscopy; Inversion; Perfusion; Cancer
Sprache englisch
Veröffentlichungsjahr 2017
HGF-Berichtsjahr 2017
ISSN (print) / ISBN 0278-0062
e-ISSN 1558-254X
Zeitschrift IEEE Transactions on Medical Imaging
Quellenangaben Band: 36, Heft: 10, Seiten: 2129-2137 Artikelnummer: , Supplement: ,
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Verlagsort New York, NY [u.a.]
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Biological and Medical Imaging (IBMI)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-505590-001
DOI 10.1109/TMI.2017.2706200
WOS ID WOS:000412216800013
PubMed ID 28541198
Erfassungsdatum 2017-06-23
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