Structure-Augmented Standard Plane Detection with Temporal Aggregation in Blind-Sweep Fetal Ultrasound
Keli Niu, He Zhao, Qianhui Men

TL;DR
This paper introduces a structure-augmented, temporally aggregated method for detecting fetal abdomen planes in blind-sweep ultrasound, improving stability and reliability in low-resource settings.
Contribution
It proposes a novel structure-augmented detection system combined with temporal aggregation to enhance plane detection accuracy in blind-sweep ultrasound.
Findings
Significant improvement in detection stability and accuracy.
Enhanced reliability of biometric measurements.
Effective stabilization of keyframe localization.
Abstract
In low-resource settings, blind-sweep ultrasound provides a practical and accessible method for identifying fetal growth restriction. However, unlike freehand ultrasound which is subjectively controlled, detection of biometry plane in blind-sweep ultrasound is more challenging due to the uncontrolled fetal structure to be observed and the variaties of oblique planes in the scan. In this work, we propose a structure-augmented system to detect fetal abdomen plane, where the abdominal structure is highlighted using a segmentation prior. Since standard planes are emerging gradually, the decision boundary of the keyframes is unstable to predict. We thus aggregated the structure-augmented planes with a temporal sliding window to help stabilise keyframe localisation. Extensive results indicate that the structure-augmented temporal sliding strategy significantly improves and stabilises the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
