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Longo, A. ; Morscher, S.* ; Malekzadeh Najafabadi, J. ; Jüstel, D. ; Zakian Dominguez, C.M. ; Ntziachristos, V.

Assessment of hessian-based Frangi vesselness filter in optoacoustic imaging.

Photoacoustics 20:100200 (2020)
Publ. Version/Full Text DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
The Hessian-based Frangi vesselness filter is commonly used to enhance vasculature in optoacoustic (photoacoustic) images, but its accuracy and limitations have never been rigorously assessed. Here we validate the ability of the filter to enhance vessel-like structures in phantoms, and we introduce an experimental approach that uses measurements before and after the administration of gold nanorods (AuNRs) to examine filter performance in vivo. We evaluate the influence of contrast, filter scales, angular tomographic coverage, out-of-plane signals and light fluence on image quality, and gain insight into the performance of the filter. We observe the generation of artifactual structures that can be misinterpreted as vessels and provide recommendations to ensure appropriate use of Frangi and other vesselness filters and avoid misinterpretation of post-processed optoacoustic images.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Frangi Filter Accuracy ; Gold Nanorods For Vessels Enhancement ; Image Quality Improvement ; Optoacoustic Imaging ; Quality Assessment Of Vesselness Filter ; Vessel Segmentation; Enhancement; Tomography; Wavelet
Language english
Publication Year 2020
HGF-reported in Year 2020
ISSN (print) / ISBN 2213-5979
Journal Photoacoustics
Quellenangaben Volume: 20, Issue: , Pages: , Article Number: 100200 Supplement: ,
Publisher Elsevier
Publishing Place Hackerbrucke 6, 80335 Munich, Germany
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
Grants European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme
European Union
DOI 10.1016/j.pacs.2020.100200
WOS ID WOS:000606792300012
Scopus ID 85087939050
PubMed ID 32714832
Erfassungsdatum 2020-09-23
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