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  4. Lymph Node Navigation in the Head and Neck Area Using 3D Ultrasound Images
 
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2020
Master Thesis
Title

Lymph Node Navigation in the Head and Neck Area Using 3D Ultrasound Images

Other Title
Lymphknotennavigation im Kopf-Hals-Bereich mit Hilfe von 3D-Ultraschallaufnahmen
Abstract
The aftercare of head and neck carcinoma patients is laborious because the physician needs to locate each lymph node in 2D ultrasound for analysis. 3D ultrasound context information can be utilized to navigate in the head neck area automatically. We review methods for using context information in medical imaging in the literature, discuss the characteristics of ultrasound and the head-neck area and present four distinct approaches for locating small structures in ultrasound images. The focus is placed on two approaches: locating small structures by using bright and dark regions in the images and using PatchMatch, a correspondence algorithm for image patches, for constructing a nearest neighbour field that is used to estimated an image transform between follow-up images. Experimentally we find that the PatchMatch approach yields promising results and using bright and dark regions does not work robustly on all image configurations.
Thesis Note
Darmstadt, TU, Master Thesis, 2020
Author(s)
Rohr, Maurice
Advisor(s)
Kuijper, Arjan  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Adamy, Jürgen
TU Darmstadt
Noll, Matthias  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Publishing Place
Darmstadt
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Lead Topic: Individual Health

  • Research Line: Human computer interaction (HCI)

  • soft tissue navigation

  • Landmark detection

  • region detection

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