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  4. ICG based Augmented-Reality-System for Sentinel Lymph Node Biopsy
 
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2018
Conference Paper
Title

ICG based Augmented-Reality-System for Sentinel Lymph Node Biopsy

Abstract
In this paper we introduce a novel augmented-reality (AR) system for the sentinel lymph node (SLN) biopsy. The AR system consists of a cubic recording device with integrated stereo near-infrared (NIR) and stereo color cameras, an head mounted display (HMD) for visualizing the SLN information directly into the physicians view and a controlling software application. The labeling of the SLN is achieved using the fluorescent dye indocyanine green (ICG). The dye accumulates in the SLN where it is excited to fluorescence by applying infrared light. The fluorescence is recorded from two directions by the NIR stereo cameras using appropriate filters. Applying the known rigid camera geometry, an ICG depth map can be generated from the camera images, thus creating a live 3D representation of the SLN. The representation is then superimposed to the physicians field of view, by applying a series of coordinate system transformations, that are determined in four separate system calibration steps. To compensate for the head motion, the recording systems is continuously tracked by a single camera on the HMD using fiducial markers. Because the system does not require additional monitors, the physicians attention is kept solely on the operation site. This can potentially decrease the intervention time and render the procedure safer for the patient.
Author(s)
Noll, Matthias  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Noa-Rudolph, Werner
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Wesarg, Stefan  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kraly, Michael
TriVisio Prototyping GmbH
Stoffels, Ingo
Universitätsklinikum Essen
Klode, Joachim
Universitätsklinikum Essen
Spass, Cédric
TriVisio Prototyping GmbH
Spass, Gerrit
TriVisio Prototyping GmbH
Mainwork
VCBM 2018, Eurographics Workshop on Visual Computing for Biology and Medicine  
Conference
Workshop on Visual Computing for Biology and Medicine (VCBM) 2018  
DOI
10.2312/vcbm.20181224
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Lead Topic: Individual Health

  • Research Line: Computer graphics (CG)

  • Research Line: Computer vision (CV)

  • Research Line: Human computer interaction (HCI)

  • Augmented reality (AR)

  • medical visualization

  • object tracking

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