IPCAI/IJCARS 2022 - Suppementary Material

This repository contains the Supplementary Material for the paper Deep Learning-based Plane Pose Regression in Obstetric Ultrasound by Di Vece C. et al. submitted for publication in the ''IPCAI 2022 Special Issue'' of the International Journal for Computer-Assisted Radiology and Surgery (IJCARS) and accepted for presentation at the 13th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI 2022) held in Tokyo, Japan.

Available folders

• model: this folder contains the code of the network (model.py) and the final weigths for phantom (phantom_weights.pt) and real data (real_weights.pt);
• standard-planes: this folder containd the 2D slices of the annotated transventricular standard plane and the relative annotation for phantom data.
• videos: this folder contains three videos. 1.1_RP.mp4 and 1.1_SP.mp4 show the outcome of the prediction of the plane pose within the volume for Experiment 1.1, whereas slice_acquisition.mp4 shows the sampling procedure for synthetic image acquisition;
• volumes: this folder contains the six 3D ultrasound phantom volumes.

References

Surgical Robot Vision Group - University College London

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