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Title:

Soft ultrasound priors in optoacoustic reconstruction: Improving clinical vascular imaging.

Document type:
Zeitschriftenaufsatz
Author(s):
Yang, Hong; Jüstel, Dominik; Prakash, Jaya; Karlas, Angelos; Helfen, Anne; Masthoff, Max; Wildgruber, Moritz; Ntziachristos, Vasilis
Abstract:
Using the same ultrasound detector, hybrid optoacoustic-ultrasound (OPUS) imaging provides concurrent scans of tissue slices or volumes and visualizes complementary sound- and light-based contrast at similar resolutions. In addition to the benefit of hybrid contrast, spatial co-registration enables images from one modality to be employed as prior information for improving an aspect of the performance of the other modality. We consider herein a handheld OPUS system and utilize structural information from ultrasound images to guide regional Laplacian regularization-based reconstruction of optoacoustic images. Using phantoms and data from OPUS scans of human radial and carotid arteries, we show that ultrasound-driven optoacoustic inversion reduces limited-view artefacts and improves image contrast. In phantoms, prior-integrated reconstruction leads to a 50 % higher contrast-to-noise ratio (CNR) of the image than standard reconstruction, and a 17 % higher structural similarity (SSIM) index. In clinical data, prior-integrated reconstruction detects deep-seated radial arteries with higher CNR than the standard method at three different depths. In this way, the prior-integrated method offers unique insights into atherosclerotic carotid plaques in humans (with p<0.01 between patients and healthy volunteers), potentially paving the way for new abilities in vascular imaging and more generally in optoacoustic imaging.
Journal title:
Photoacoustics
Journal title abbreviation:
Photoacoustics
Year:
2020
Journal volume:
19
Fulltext / DOI:
doi:10.1016/j.pacs.2020.100172
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/32280585
WWW:
https://www.sciencedirect.com/science/article/pii/S2213597920300124
Print-ISSN:
2213-5979
TUM Institution:
595; Fachgebiet Gefäßchirurgie (Prof. Eckstein); Lehrstuhl für Biologische Bildgebung - Zusammenarbeit mit dem Helmholtz-Zentrum München (Prof. Ntziachristos)
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