Intraoperative Bildgebung und Visualisierung

Research output: Contribution to journalReview articleContributedpeer-review

Contributors

  • Lena Maier-Hein - , German Cancer Research Center (DKFZ) (Author)
  • Ines Gockel - , Leipzig University (Author)
  • Stefanie Speidel - , National Center for Tumor Diseases Dresden, Clusters of Excellence CeTI: Centre for Tactile Internet (Author)
  • Thomas Wendler - , Technical University of Munich, SurgicEye GmbH (Author)
  • Dogu Teber - , Städtischen Klinikum Karlsruhe (Author)
  • Keno März - , German Cancer Research Center (DKFZ) (Author)
  • Minu Tizabi - , German Cancer Research Center (DKFZ) (Author)
  • Felix Nickel - , Heidelberg University  (Author)
  • Nassir Navab - , Technical University of Munich (Author)
  • Beat Müller-Stich - , Heidelberg University  (Author)

Abstract

Background: Surgical oncology is an important pillar of interdisciplinary cancer treatment. The intraoperative visualization of tumors and critical structures along with functional tissue parameters is an important basis for precise surgical treatment and thus for the optimization of patient outcome. Objective: The aim of this article was to compile the latest technological developments with particular relevance to intraoperative imaging and visualization. Methods: Medical and technical experts with experience in computer-assisted surgery identified four research areas with a high potential for sustainably improving surgical oncology: (1) functional imaging based on biophotonics, (2) multimodal data visualization through augmented reality, (3) reproducible imaging by means of robotics, and (4) context-aware visualization based on surgical data science. Results: Recent publications exemplify the high potential of the four subject areas presented. Conclusion: Future research should focus on optimizing robustness and integrability into the surgical workflow.

Translated title of the contribution
Intraoperative imaging and visualization

Details

Original languageGerman
Pages (from-to)31-43
Number of pages13
JournalDer Onkologe
Volume26
Issue number1
Publication statusPublished - 1 Jan 2020
Peer-reviewedYes

External IDs

Scopus 85077683005
ORCID /0000-0002-4590-1908/work/163293954

Keywords

Sustainable Development Goals

Keywords

  • Augmented reality, Computer-assisted image processing, Diagnostic Imaging, Patient-specific modeling, Robotics