Trackerless Volume Reconstruction from Intraoperative Ultrasound Images

Official implementation of the MICCAI 2023 paper - Trackerless Volume Reconstruction from Intraoperative Ultrasound Images

Introduction

We propose a method for trackerless ultrasound volume reconstruction in the context of minimally invasive surgery. It is based on a Siamese architecture, including a recurrent neural network that leverages the ultrasound image features and the optical flow to estimate the relative position of frames

alt text

Installation

pip install -r requirements.txt

Citations

@inproceedings{El_Hadramy2023unified,
    title ={Trackerless Volume Reconstruction from Intraoperative Ultrasound Images},
    author={El Hadramy, Sidaty and Verde, Juan and Beaudet Karl-Philippe and Padoy, Nicolas and Cotin, Stéphane},
    booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
    year ={2023},
    organization={Springer}
}