Improving Optoacoustic Image Quality via Geometric Pixel Super-Resolution Approach
He H, Mandal S, Buehler A, Dean-Ben XL, Razansky D, Ntziachristos V (2016)
Publication Type: Journal article
Publication year: 2016
Journal
Book Volume: 35
Pages Range: 812-818
Article Number: 7317595
Journal Issue: 3
Abstract
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.
Involved external institutions
Germany (DE)How to cite
APA:
He, H., Mandal, S., Buehler, A., Dean-Ben, X.L., Razansky, D., & Ntziachristos, V. (2016). Improving Optoacoustic Image Quality via Geometric Pixel Super-Resolution Approach. IEEE Transactions on Medical Imaging, 35(3), 812-818. https://doi.org/10.1109/TMI.2015.2497159
MLA:
He, Hailong, et al. "Improving Optoacoustic Image Quality via Geometric Pixel Super-Resolution Approach." IEEE Transactions on Medical Imaging 35.3 (2016): 812-818.
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