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J. Imaging 2018, 4(1), 24;

Stable Image Registration for In-Vivo Fetoscopic Panorama Reconstruction

BioMechanical Engineering, Delft University of Technology, 2628CD Delft, The Netherlands
Department of Obstetrics, Leiden University Medical Center, 2333ZA Leiden, The Netherlands
This paper is an extended version of our paper published in: Gaisser, F.; Peeters, S.H.; Lenseigne, B.; Jonker, P.P.; Oepkes, D. Fetoscopic Panorama Reconstruction: Moving from Ex-vivo to In-vivo. In Annual Conference on Medical Image Understanding and Analysis; Springer: Berlin, Germany, 2017; pp. 581–593.
Author to whom correspondence should be addressed.
Received: 31 October 2017 / Revised: 8 January 2018 / Accepted: 9 January 2018 / Published: 19 January 2018
(This article belongs to the Special Issue Selected Papers from “MIUA 2017”)
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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. View Full-Text
Keywords: panorama reconstruction; in-vivo fetoscopy; stable region detection panorama reconstruction; in-vivo fetoscopy; stable region detection

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Gaisser, F.; Peeters, S.H.P.; Lenseigne, B.A.J.; Jonker, P.P.; Oepkes, D. Stable Image Registration for In-Vivo Fetoscopic Panorama Reconstruction. J. Imaging 2018, 4, 24.

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