Personalized, relevance-based Multimodal Robotic Imaging and augmented reality for Computer Assisted Interventions

Nassir Navab, Miccai Fellow, Christoph Hennersperger, Benjamin Frisch, Bernhard Fuerst

Research output: Contribution to journalEditorialpeer-review

Abstract

In the last decade, many researchers in medical image computing and computer assisted interventions across the world focused on the development of the Virtual Physiological Human (VPH), aiming at changing the practice of medicine from classification and treatment of diseases to that of modeling and treating patients. These projects resulted in major advancements in segmentation, registration, morphological, physiological and biomechanical modeling based on state of art medical imaging as well as other sensory data. However, a major issue which has not yet come into the focus is personalizing intra-operative imaging, allowing for optimal treatment. In this paper, we discuss the personalization of imaging and visualization process with particular focus on satisfying the challenging requirements of computer assisted interventions. We discuss such requirements and review a series of scientific contributions made by our research team to tackle some of these major challenges.

Original languageEnglish (US)
Pages (from-to)64-71
Number of pages8
JournalMedical Image Analysis
Volume33
DOIs
StatePublished - Oct 1 2016

Keywords

  • Augmented reality
  • Computer assisted interventions
  • Multimodal imaging and visualization
  • Robotic imaging

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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