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

dc.contributor.authorNoll, Matthiasen_US
dc.contributor.authorNoa-Rudolph, Werneren_US
dc.contributor.authorWesarg, Stefanen_US
dc.contributor.authorKraly, Michaelen_US
dc.contributor.authorStoffels, Ingoen_US
dc.contributor.authorKlode, Joachimen_US
dc.contributor.authorSpass, Cédricen_US
dc.contributor.authorSpass, Gerriten_US
dc.contributor.editorPuig Puig, Anna and Schultz, Thomas and Vilanova, Anna and Hotz, Ingrid and Kozlikova, Barbora and Vázquez, Pere-Pauen_US
dc.date.accessioned2018-09-19T15:19:10Z
dc.date.available2018-09-19T15:19:10Z
dc.date.issued2018
dc.description.abstractIn 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.en_US
dc.description.sectionheadersInteraction and Evaluation
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20181224
dc.identifier.isbn978-3-03868-056-7
dc.identifier.issn2070-5786
dc.identifier.pages11-15
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20181224
dc.identifier.urihttps://doi.org/10.2312/vcbm.20181224
dc.publisherThe Eurographics Associationen_US
dc.subjectApplied computing
dc.subjectHealth care information systems
dc.titleICG based Augmented-Reality-System for Sentinel Lymph Node Biopsyen_US
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