Stable image registration for in-vivo fetoscopic panorama reconstruction

Stable image registration for in-vivo fetoscopic panorama reconstruction

Gaisser, F. (TU Delft Intelligent Vehicles)
Peeters, Suzanne H.P. (Universiteit Leiden)
Lenseigne, B.A.J. (TU Delft Biomechanical Engineering)
Jonker, P.P. (TU Delft Biomechatronics & Human-Machine Control)
Oepkes, Dick (Universiteit Leiden)

Biomechanical Engineering

2018

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.

panorama reconstruction
in-vivo fetoscopy
stable region detection

http://resolver.tudelft.nl/uuid:f71d60b9-f3eb-4da9-afb8-78bf2171b4ac

https://doi.org/10.3390/jimaging4010024

2313-433X

Journal of Imaging, 4 (1)

Institutional Repository

journal article

© 2018 F. Gaisser, Suzanne H.P. Peeters, B.A.J. Lenseigne, P.P. Jonker, Dick Oepkes