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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 as soon as Postprint is submitted to ZB.
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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Publication type Article: Journal article
Document type Scientific Article
Keywords Image Processing ; Image Quality Enhancement ; Optoacoustic Imaging ; Photoacoustic Tomography ; Super Resolution; Super Resolution; Reconstruction; Tomography; Time; Registration; Microscopy; Mri
Language english
Publication Year 2016
Prepublished in Year 2015
HGF-reported in Year 2015
ISSN (print) / ISBN 0278-0062
e-ISSN 1558-254X
Journal IEEE Transactions on Medical Imaging
Quellenangaben Volume: 35, Issue: 3, Pages: 812-818 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-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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