PuSH - Publikationsserver des Helmholtz Zentrums München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Mandal, S. ; Viswanath, P.S.* ; Yeshaswini, N.* ; Dean-Ben, X.L. ; Razansky, D.

Multiscale edge detection and parametric shape modeling for boundary delineation in optoacoustic images.

In: (37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, 25-29 August 2015, Milan, Italy). Institute of Electrical and Electronics Engineers (IEEE), 2015. 707-710 (Conf. Proc. IEEE Eng. Med. Biol. Soc.)
DOI
In this article, we present a novel scheme for segmenting the image boundary (with the background) in optoacoustic small animal in vivo imaging systems. The method utilizes a multiscale edge detection algorithm to generate a binary edge map. A scale dependent morphological operation is employed to clean spurious edges. Thereafter, an ellipse is fitted to the edge map through constrained parametric transformations and iterative goodness of fit calculations. The method delimits the tissue edges through the curve fitting model, which has shown high levels of accuracy. Thus, this method enables segmentation of optoacoutic images with minimal human intervention, by eliminating need of scale selection for multiscale processing and seed point determination for contour mapping.
Scopus
Cited By
Altmetric
9
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: Konferenzbeitrag
Schlagwörter Curve Fitting ; Image Edge Detection ; Image Segmentation ; Photoacoustic Effects
Sprache englisch
Veröffentlichungsjahr 2015
HGF-Berichtsjahr 0
ISSN (print) / ISBN 1557-170X
ISBN 978-142449271-8
Konferenztitel 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Konferzenzdatum 25-29 August 2015
Konferenzort Milan, Italy
Zeitschrift Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Quellenangaben Band: , Heft: , Seiten: 707-710 Artikelnummer: , Supplement: ,
Verlag Institute of Electrical and Electronics Engineers (IEEE)
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-505590-001
DOI 10.1109/EMBC.2015.7318460
Scopus ID 84953338184
Erfassungsdatum 2016-01-14
[➜Korrektur melden]