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Chowdhury, S.P. ; Prakash, J. ; Karlas, A. ; Jüstel, D. ; Ntziachristos, V.

A synthetic total impulse response characterization method for correction of hand-held optoacoustic images.

IEEE Trans. Med. Imaging 39, 3218-3230 (2020)
Postprint DOI PMC
Open Access Green
The impulse response of optoacoustic (photoacoustic) tomographic imaging system depends on several system components, the characteristics of which can influence the quality of reconstructed images. The effect of these system components on reconstruction quality have not been considered in detail so far. Here we combine sparse measurements of the total impulse response (TIR) with a geometric acoustic model to obtain a full characterization of the TIR of a handheld optoacoustic tomography system with concave limited-view acquisition geometry. We then use this synthetic TIR to reconstruct data from phantoms and healthy human volunteers, demonstrating improvements in image resolution and fidelity. The higher accuracy of optoacoustic tomographic reconstruction with TIR correction further improves the diagnostic capability of handheld optoacoustic tomographic systems.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Transducers ; Acoustics ; Image Reconstruction ; Imaging ; Image Quality ; Detectors ; Couplings ; Image Reconstruction ; Photoacoustic Tomography ; Transducer Modeling ; Handheld Transducer Probe ; Total Impulse Response; Tomography Msot; Reconstruction; Tissues; Models; Speed; Sound
Sprache englisch
Veröffentlichungsjahr 2020
HGF-Berichtsjahr 2020
ISSN (print) / ISBN 0278-0062
e-ISSN 1558-254X
Zeitschrift IEEE Transactions on Medical Imaging
Quellenangaben Band: 39, Heft: 10, Seiten: 3218-3230 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-505500-001
Förderungen European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme
DOI 10.1109/TMI.2020.2989236
WOS ID WOS:000574745800021
PubMed ID 32324545
Erfassungsdatum 2020-10-30
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