Stable image registration for in-vivo fetoscopic panorama reconstruction

Floris Gaisser, Suzanne H.P. Peeters, Boris Lenseigne, Pieter Jonker, Dick Oepkes

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)
120 Downloads (Pure)

Abstract

A Twin-to-Twin Transfusion Syndrome (TTTS) is a condition that occurs in about 10% of pregnancies involving monochorionic twins. This complication can be treated with fetoscopic laser coagulation. The procedure could greatly benefit from panorama reconstruction to gain an overview of the placenta. In previous work we investigated which steps could improve the reconstruction performance for an in-vivo setting. In this work we improved this registration by proposing a stable region detection method as well as extracting matchable features based on a deep-learning approach. Finally, we extracted a measure for the image registration quality and the visibility condition. With experiments we show that the image registration performance is increased and more constant. Using these methods a system can be developed that supports the surgeon during the surgery, by giving feedback and providing a more complete overview of the placenta.
Original languageEnglish
Article number24
Number of pages13
JournalJournal of Imaging
Volume4
Issue number1
DOIs
Publication statusPublished - 2018

Keywords

  • panorama reconstruction
  • in-vivo fetoscopy
  • stable region detection

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