Feature-aggregated spatiotemporal spine surface estimation for wearable patch ultrasound volumetric imaging

Baichuan Jiang; Keshuai Xu; Abhay Moghekar; Peter Kazanzides; Emad Boctor

doi:10.1117/12.2653114

10 April 2023 Feature-aggregated spatiotemporal spine surface estimation for wearable patch ultrasound volumetric imaging

Baichuan Jiang, Keshuai Xu, Abhay Moghekar, Peter Kazanzides, Emad Boctor

Author Affiliations +

Proceedings Volume 12470, Medical Imaging 2023: Ultrasonic Imaging and Tomography; 124700N (2023) https://doi.org/10.1117/12.2653114
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Abstract

Clear identification of bone structures is crucial for ultrasound-guided lumbar interventions, but it can be challenging due to the complex shapes of the self-shadowing vertebra anatomy and the extensive background speckle noise from the surrounding soft tissue structures. Therefore, in this work, we will present our method for estimating the vertebra bone surfaces by using a spatiotemporal U-Net architecture learning from the B-Mode image and aggregated feature maps of hand-crafted filters. Additionally, we are integrating this solution with our patch-like wearable ultrasound system to capture the repeating anatomical patterns and image the bone surfaces from multiple insonification angles. 3D bone representations can then be created for interventional guidance. The methods are evaluated on spine phantom image data collected by our proposed “Patch” scanner, and our systematic ablation experiment shows that improved accuracy can be achieved with the proposed architecture. Equipped with this surface estimation network, our wearable ultrasound system can potentially provide intuitive and accurate interventional guidance for clinicians in an augmented reality setting.

Conference Presentation

Citation Download Citation

Baichuan Jiang, Keshuai Xu, Abhay Moghekar, Peter Kazanzides, and Emad Boctor "Feature-aggregated spatiotemporal spine surface estimation for wearable patch ultrasound volumetric imaging", Proc. SPIE 12470, Medical Imaging 2023: Ultrasonic Imaging and Tomography, 124700N (10 April 2023); https://doi.org/10.1117/12.2653114

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