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  4. A novel endoimaging system for endoscopic 3D reconstruction in bladder cancer patients
 
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2022
Journal Article
Titel

A novel endoimaging system for endoscopic 3D reconstruction in bladder cancer patients

Abstract
Introduction: The methods employed to document cystoscopic findings in bladder cancer patients lack accuracy and are subject to observer variability. We propose a novel endoimaging system and an online documentation platform to provide post-procedural 3D bladder reconstructions for improved diagnosis, management and follow-up. Material and methods: The RaVeNNA4pi consortium is comprised of five industrial partners, two university hospitals and two technical institutes. These are grouped into hardware, software and clinical partners according to their professional expertise. The envisaged endoimaging system consists of an innovative cystoscope that generates 3D bladder reconstructions allowing users to remotely access a cloud-based centralized database to visualize individualized 3D bladder models from previous cystoscopies archived in DICOM format. Results: Preliminary investigations successfully tracked the endoscope's rotational and translational movements. The structure-from-motion pipeline was tested in a bladder phantom and satisfactorily demonstrated 3D reconstructions of the processing sequence. AI-based semantic image segmentation achieved a 0.67 dice-score-coefficient over all classes. An online-platform allows physicians and patients to digitally visualize endoscopic findings by navigating a 3D bladder model. Conclusions: Our work demonstrates the current developments of a novel endoimaging system equipped with the potential to generate 3D bladder reconstructions from cystoscopy videos and AI-assisted automated detection of bladder tumors.
Author(s)
Suarez-Ibarrola, Rodrigo
Kriegmair, Maximilian
Waldbillig, Frank
Grüne, Britta
Negassi, Misgana
Fraunhofer-Institut für Physikalische Messtechnik IPM
Parupalli, Ujwala
Fraunhofer-Institut für Physikalische Messtechnik IPM
Schmitt, Annette
Fraunhofer-Institut für Physikalische Messtechnik IPM
Reiterer, Alexander
Fraunhofer-Institut für Physikalische Messtechnik IPM
Müller, Christoph
Scheurer, Alexander
Baur, Stefan
Klein, Kirsten
Fallert, Johannes A.
Mündermann, Lars
Yoganathan, Jenshika
Probst, Marco
Ihle, Patrick
Bobic, Neven
Schumm, Tobias
Rehn, Henning
Betke, Alexander
Graurock, Michael
Forrer, Martin
Gratzke, Christian
Miernik, Arkadiusz
Hein, Simon
Zeitschrift
Minimally invasive therapy & allied technologies : MITAT
Thumbnail Image
DOI
10.1080/13645706.2020.1761833
Language
Englisch
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Fraunhofer-Institut für Physikalische Messtechnik IPM
Tags
  • Bladder cancer

  • Cystoscopy

  • 3D-reconstruction

  • Semantic image segmen...

  • Artificial neural net...

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