PuSH - Publikationsserver des Helmholtz Zentrums München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
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)
Verlagsversion 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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
5.870
1.936
4
13
Tags
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Frangi Filter Accuracy ; Gold Nanorods For Vessels Enhancement ; Image Quality Improvement ; Optoacoustic Imaging ; Quality Assessment Of Vesselness Filter ; Vessel Segmentation; Enhancement; Tomography; Wavelet
Sprache englisch
Veröffentlichungsjahr 2020
HGF-Berichtsjahr 2020
ISSN (print) / ISBN 2213-5979
Zeitschrift Photoacoustics
Quellenangaben Band: 20, Heft: , Seiten: , Artikelnummer: 100200 Supplement: ,
Verlag Elsevier
Verlagsort Hackerbrucke 6, 80335 Munich, Germany
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
Förderungen 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
[➜Korrektur melden]