title: Context region discovery for automatic motion compensation in fluoroscopy.
abstract: OBJECTIVE
  Image-based tracking for motion compensation is an important topic in image-guided interventions, as it enables physicians to operate in a less complex space. In this paper, we propose an automatic motion compensation scheme to boost image guidence power in transcatheter aortic valve implantation (TAVI).
  
  
  METHODS
  The proposed tracking algorithm automatically discovers reliable regions that correlate strongly with the target. These discovered regions can assist to estimate target motion under severe occlusion, even if target tracker fails.
  
  
  RESULTS
  We evaluate the proposed method for pigtail tracking during TAVI. We obtain significant improvement (12 %) over the baseline in a clinical dataset. Calcification regions are automatically discovered during tracking, which would aid TAVI processes.
  
  
  CONCLUSIONS
  In this work, we open a new paradigm to provide dynamic real-time guidance for TAVI without user interventions, specially in case of severe occlusion where conventional tracking methods are challenged.
authors.affiliation: Northwestern University, Evanston, IL, USA. yxv016@eecs.northwestern.edu.
authors.forename: Yin
authors.initials: Y
authors.lastname: Xia
authors.affiliation: University of Central Florida, Orlando, FL, USA.
authors.forename: Sarfaraz
authors.initials: S
authors.lastname: Hussein
authors.affiliation: Siemens Corporate Research, Princeton, NJ, USA.
authors.forename: Vivek
authors.initials: V
authors.lastname: Singh
authors.affiliation: Siemens AG, Healthcare Sector, Forchheim, Germany.
authors.forename: Matthias
authors.initials: M
authors.lastname: John
authors.affiliation: Northwestern University, Evanston, IL, USA.
authors.forename: Ying
authors.initials: Y
authors.lastname: Wu
authors.affiliation: Siemens Corporate Research, Princeton, NJ, USA.
authors.forename: Terrence
authors.initials: T
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D005471:Fluoroscopy / Q000379:methods*; D006801:Humans; D009038:Motion; D025321:Surgery, Computer-Assisted / Q000379:methods*
keywords: Image assisted intervention; Instrument and patient localization and tracking; Tracking systems