Literature DB >> 25485436

Desired-View--controlled positioning of angiographic C-arms.

Pascal Fallavollita, Alexander Winkler, Severine Habert, Patrick Wucherer, Philipp Stefan, Riad Mansour, Reza Ghotbi, Nassir Navab.   

Abstract

We present the idea of a user interface concept, which resolves the challenges involved in the control of angiographic C-arms for their constant repositioning during interventions by either the surgeons or the surgical staff. Our aim is to shift the paradigm of interventional image acquisition workflow from the traditional control device interfaces to 'desired-view' control. This allows the physicians to only communicate the desired outcome of imaging, based on simulated X-rays from pre-operative CT or CTA data, while the system takes care of computing the positioning of the imaging device relative to the patient's anatomy through inverse kinematics and CT to patient registration. Together with our clinical partners, we evaluate the new technique using 5 patient CTA and their corresponding intraoperative X-ray angiography datasets.

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Year:  2014        PMID: 25485436     DOI: 10.1007/978-3-319-10470-6_82

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


  3 in total

1.  Single-view X-ray depth recovery: toward a novel concept for image-guided interventions.

Authors:  Shadi Albarqouni; Ulrich Konrad; Lichao Wang; Nassir Navab; Stefanie Demirci
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-03-16       Impact factor: 2.924

2.  Augmented reality-based feedback for technician-in-the-loop C-arm repositioning.

Authors:  Mathias Unberath; Javad Fotouhi; Jonas Hajek; Andreas Maier; Greg Osgood; Russell Taylor; Mehran Armand; Nassir Navab
Journal:  Healthc Technol Lett       Date:  2018-10-01

3.  Toward automatic C-arm positioning for standard projections in orthopedic surgery.

Authors:  Lisa Kausch; Sarina Thomas; Holger Kunze; Maxim Privalov; Sven Vetter; Jochen Franke; Andreas H Mahnken; Lena Maier-Hein; Klaus Maier-Hein
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-06-12       Impact factor: 2.924

  3 in total

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