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Enhanced shadow detection for 3D ultrasound

 
: Noll, Matthias; Puhl, Julian; Wesarg, Stefan

:

Deserno, T.M. ; Deutsches Krebsforschungszentrum, Abteilung für Medizinische und Biologische Informatik; Berufsverband Medizinischer Informatiker -BVMI-; Deutsche Gesellschaft für Computer- und Roboterassistierte Chirurgie -CURAC-:
Bildverarbeitung für die Medizin 2014 : Algorithmen - Systeme - Anwendungen; Proceedings des Workshops vom 16. bis 18. März 2014 in Aachen
Berlin: Springer, 2014 (Informatik aktuell)
ISBN: 3-642-54110-0
ISBN: 978-3-642-54110-0 (Print)
ISBN: 978-3-642-54111-7 (Online)
pp.234-239
Workshop Bildverarbeitung für die Medizin (BVM) <2014, Aachen>
English
Conference Paper
Fraunhofer IGD ()
3D Ultrasound; artifact; Shadows; detection; Business Field: Visual decision support; Research Area: Human computer interaction (HCI)

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.

: http://publica.fraunhofer.de/documents/N-351539.html