Literature DB >> 25333145

3D global estimation and augmented reality visualization of intra-operative X-ray dose.

Nicolas Loy Rodas, Nicolas Padoy.   

Abstract

The growing use of image-guided minimally-invasive surgical procedures is confronting clinicians and surgical staff with new radiation exposure risks from X-ray imaging devices. The accurate estimation of intra-operative radiation exposure can increase staff awareness of radiation exposure risks and enable the implementation of well-adapted safety measures. The current surgical practice of wearing a single dosimeter at chest level to measure radiation exposure does not provide a sufficiently accurate estimation of radiation absorption throughout the body. In this paper, we propose an approach that combines data from wireless dosimeters with the simulation of radiation propagation in order to provide a global radiation risk map in the area near the X-ray device. We use a multi-camera RGBD system to obtain a 3D point cloud reconstruction of the room. The positions of the table, C-arm and clinician are then used 1) to simulate the propagation of radiation in a real-world setup and 2) to overlay the resulting 3D risk-map onto the scene in an augmented reality manner. By using real-time wireless dosimeters in our system, we can both calibrate the simulation and validate its accuracy at specific locations in real-time. We demonstrate our system in an operating room equipped with a robotised X-ray imaging device and validate the radiation simulation on several X-ray acquisition setups.

Mesh:

Year:  2014        PMID: 25333145     DOI: 10.1007/978-3-319-10404-1_52

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  2 in total

1.  Seeing is believing: increasing intraoperative awareness to scattered radiation in interventional procedures by combining augmented reality, Monte Carlo simulations and wireless dosimeters.

Authors:  Nicolas Loy Rodas; Nicolas Padoy
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-02-26       Impact factor: 2.924

2.  A radiation-free mixed-reality training environment and assessment concept for C-arm-based surgery.

Authors:  Philipp Stefan; Séverine Habert; Alexander Winkler; Marc Lazarovici; Julian Fürmetz; Ulrich Eck; Nassir Navab
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-06-25       Impact factor: 2.924

  2 in total

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