TU Darmstadt / ULB / TUbiblio

Enhanced Shadow Detection for 3D Ultrasound

Noll, Matthias ; Puhl, Julian ; Wesarg, Stefan (2014)
Enhanced Shadow Detection for 3D Ultrasound.
Bildverarbeitung für die Medizin 2014.
doi: 10.1007/978-3-642-54111-7_45
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Ultrasound imaging offers a fast, convenient and save instrument to conduct patient examinations for various medical scenarios. However, depending on the target region, occluding bone segments and other materials cause large and undesirable shadowing artifacts. Thus, the experience of the ultrasound operator is crucial for obtaining an ultrasound without artifacts for patient diagnosis. Even more so, when applying automated image processing algorithms. We therefore like to introduce our automatic 3D ultrasound shadow detection method that employs scan line energy and local image entropy information. Applying the method can help to prevent low quality image acquisitions with large shadowing artifacts by indicating shadow occurrences.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2014
Autor(en): Noll, Matthias ; Puhl, Julian ; Wesarg, Stefan
Art des Eintrags: Bibliographie
Titel: Enhanced Shadow Detection for 3D Ultrasound
Sprache: Englisch
Publikationsjahr: 2014
Verlag: Springer, Berlin, Heidelberg, New York
Reihe: Informatik aktuell
Veranstaltungstitel: Bildverarbeitung für die Medizin 2014
DOI: 10.1007/978-3-642-54111-7_45
Kurzbeschreibung (Abstract):

Ultrasound imaging offers a fast, convenient and save instrument to conduct patient examinations for various medical scenarios. However, depending on the target region, occluding bone segments and other materials cause large and undesirable shadowing artifacts. Thus, the experience of the ultrasound operator is crucial for obtaining an ultrasound without artifacts for patient diagnosis. Even more so, when applying automated image processing algorithms. We therefore like to introduce our automatic 3D ultrasound shadow detection method that employs scan line energy and local image entropy information. Applying the method can help to prevent low quality image acquisitions with large shadowing artifacts by indicating shadow occurrences.

Freie Schlagworte: Business Field: Visual decision support, Research Area: Human computer interaction (HCI), 3D Ultrasound, Artifacts, Shadows, Detection
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 12 Nov 2018 11:16
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen