Toward a navigation framework for fetoscopy.

ABSTRACT:

Purpose

Fetoscopic laser photocoagulation of placental anastomoses is the most effective treatment for twin-to-twin transfusion syndrome (TTTS). A robust mosaic of placenta and its vascular network could support surgeons' exploration of the placenta by enlarging the fetoscope field-of-view. In this work, we propose a learning-based framework for field-of-view expansion from intra-operative video frames.

Methods

While current state of the art for fetoscopic mosaicking builds upon the registration of anatomical landmarks which may not always be visible, our framework relies on learning-based features and keypoints, as well as robust transformer-based image-feature matching, without requiring any anatomical priors. We further address the problem of occlusion recovery and frame

SUBMITTER: Casella A 

PROVIDER: S-EPMC10632301 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature