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

Noll, Matthias ; Noa-Rudolph, Werner ; Wesarg, Stefan ; Kraly, Michael ; Stoffels, Ingo ; Klode, Joachim ; Spass, Cédric ; Spass, Gerrit (2018)
ICG based Augmented-Reality-System for Sentinel Lymph Node Biopsy.
Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM). Granada, Spain (2018)
doi: 10.2312/vcbm.20181224
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2018
Autor(en): Noll, Matthias ; Noa-Rudolph, Werner ; Wesarg, Stefan ; Kraly, Michael ; Stoffels, Ingo ; Klode, Joachim ; Spass, Cédric ; Spass, Gerrit
Art des Eintrags: Bibliographie
Titel: ICG based Augmented-Reality-System for Sentinel Lymph Node Biopsy
Sprache: Englisch
Publikationsjahr: 2018
Ort: Goslar
Verlag: Eurographics Association
Buchtitel: Eurographics Workshop on Visual Computing for Biology and Medicine
Veranstaltungstitel: Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)
Veranstaltungsort: Granada, Spain
Veranstaltungsdatum: 2018
DOI: 10.2312/vcbm.20181224
Kurzbeschreibung (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.

Freie Schlagworte: Augmented reality (AR), Medical visualization, Object tracking
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 17 Jul 2019 14:13
Letzte Änderung: 17 Jul 2019 14:13
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