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He, H. ; Mandal, S. ; Bühler, A. ; Dean-Ben, X.L. ; Razansky, D. ; Ntziachristos, V.

Improving optoacoustic image quality via geometric pixel super-resolution approach.

IEEE Trans. Med. Imaging 35, 812-818 (2016)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
High fidelity optoacoustic (photoacoustic) tomography requires dense spatial sampling of optoacoustic signals using point acoustic detectors. However, in practice, spatial resolution of the images is often limited by limited sampling either due to coarse multi-element arrays or time in raster scan measurements. Herein, we investigate a method that integrates information from multiple optoacoustic images acquired at sub-diffraction steps into one high resolution image by means of an iterative registration algorithm. Experimental validations performed in target phantoms and ex-vivo tissue samples confirm that the suggested approach renders significant improvements in terms of optoacoustic image resolution and quality without introducing significant alterations into the signal acquisition hardware or inversion algorithms.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Image Processing ; Image Quality Enhancement ; Optoacoustic Imaging ; Photoacoustic Tomography ; Super Resolution; Super Resolution; Reconstruction; Tomography; Time; Registration; Microscopy; Mri
Sprache englisch
Veröffentlichungsjahr 2016
Prepublished im Jahr 2015
HGF-Berichtsjahr 2015
ISSN (print) / ISBN 0278-0062
e-ISSN 1558-254X
Zeitschrift IEEE Transactions on Medical Imaging
Quellenangaben Band: 35, Heft: 3, Seiten: 812-818 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
G-505590-001
PubMed ID 26552079
DOI 10.1109/TMI.2015.2497159
WOS ID WOS:000372369700009
Erfassungsdatum 2015-11-12
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