Ultrasound Plane Pose Regression: Assessing Generalized Pose Coordinates in the Fetal Brain
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Abstract (arXiv)
In obstetric ultrasound (US) scanning, the learner's ability to mentally build a three-dimensional (3D) map of the fetus from a two-dimensional (2D) US image represents a significant challenge in skill acquisition. We aim to build a US plane localization system for 3D visualization, training, and guidance without integrating additional sensors. This work builds on top of our previous work, which predicts the six-dimensional (6D) pose of arbitrarily oriented US planes slicing the fetal brain with respect to a normalized reference frame using a convolutional neural network (CNN) regression network. Here, we analyze in detail the assumptions of the normalized fetal brain reference frame and quantify its accuracy with respect to the acquisition of transventricular (TV) standard plane (SP) for fetal biometry. We investigate the impact of registration quality in the training and testing data and its subsequent effect on trained models. Finally, we introduce data augmentations and larger training sets that improve the results of our previous work, achieving median errors of 2.97 mm and 6.63 degrees for translation and rotation, respectively.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 13 of its 44 references that are in the map. First posted on arXiv 19 Jan 2023.
Builds on
13 of 44 references.
References · 13
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- 2015Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Viewscited by 94
- 2016SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasoundcited by 71
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- 2020Automatic Probe Movement Guidance for Freehand Obstetric Ultrasoundcited by 27
- 2021Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learningcited by 21
- 2020DeepReg: a deep learning toolkit for medical image registrationcited by 16
- 20173D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Imagescited by 14
- 2022VesNet-RL: Simulation-based Reinforcement Learning for Real-World US Probe Navigationcited by 11
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- 2022Adaptive 3D Localization of 2D Freehand Ultrasound Brain Imagescited by 6
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3 papers.