title: Towards scene adaptive image correspondence for placental vasculature mosaic in computer assisted fetoscopic procedures.
abstract: BACKGROUND
  Visualization of the vast placental vasculature is crucial in fetoscopic laser photocoagulation for twin-to-twin transfusion syndrome treatment. However, vasculature mosaic is challenging due to the fluctuating imaging conditions during fetoscopic surgery.
  
  
  METHODS
  A scene adaptive feature-based approach for image correspondence in free-hand endoscopic placental video is proposed. It contributes towards existing techniques by introducing a failure detection method based on statistical attributes of the feature distribution, and an updating mechanism that self-tunes parameters to recover from registration failures.
  
  
  RESULTS
  Validations on endoscopic image sequences of a phantom and a monkey placenta are carried out to demonstrate mismatch recovery. In two 100-frame sequences, automatic self-tuned results improved by 8% compared with manual experience-based tuning and a slight 2.5% deterioration against exhaustive tuning (gold standard).
  
  
  CONCLUSIONS
  This scene-adaptive image correspondence approach, which is not restricted to a set of generalized parameters, is suitable for applications associated with dynamically changing imaging conditions. Copyright © 2015 John Wiley & Sons, Ltd.
authors.affiliation: Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
authors.forename: Liangjing
authors.identifier: http://orcid.org/0000-0002-3294-0879
authors.initials: L
authors.lastname: Yang
authors.affiliation: Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
authors.forename: Junchen
authors.initials: J
authors.lastname: Wang
authors.affiliation: Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
authors.forename: Takehiro
authors.initials: T
authors.lastname: Ando
authors.affiliation: Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
authors.forename: Akihiro
authors.initials: A
authors.lastname: Kubota
authors.affiliation: Clinical Research Center, National Center for Child Health and Development, Tokyo, Japan.
authors.forename: Hiromasa
authors.initials: H
authors.lastname: Yamashita
authors.affiliation: Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
authors.forename: Ichiro
authors.initials: I
authors.lastname: Sakuma
authors.affiliation: Clinical Research Center, National Center for Child Health and Development, Tokyo, Japan.
authors.forename: Toshio
authors.initials: T
authors.lastname: Chiba
authors.affiliation: Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
authors.forename: Etsuko
authors.initials: E
authors.lastname: Kobayashi
mesh_terms: D000818:Animals; D005260:Female; D005332:Fetoscopy / Q000379:methods*; D000882:Haplorhini; D006801:Humans; D010920:Placenta / Q000098:blood supply*; D011247:Pregnancy; D025321:Surgery, Computer-Assisted
keywords: image correspondence; minimally invasive fetal endoscopic surgery; placental imaging