The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/d658099a-0d96-44d9-be87-35edaf2b4375

Christie, Dennis (2024): Data underlying the publication: "Reliability and Accuracy of A-mode Ultrasound for Non-invasive Bone Surface Detection". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/d658099a-0d96-44d9-be87-35edaf2b4375.v1

Dataset

• Other Engineering
• Biomedical Engineering
• Engineering

Bone Detection, CT scan, Ultrasound

2023

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Dennis Christie

This data is produced in an experiment to validate the reliability and accuracy of A-mode ultrasound (US) measurement for bone surface detection. We work on a system that combines A-mode US measurement with Motion Capture to estimate 3D bone pose or kinematics. However, there is a gap in the literature about the performance of A-mode US itself in bone surface detection. We conducted an experiment where A-mode US was used and attached to a cadaveric leg, to validate our bone detection we measured it simultaneously with a CT scan. So, from the experiment setup, we could obtain estimation depth (distance from skin to bone) from A-mode US measurement and ground truth depth from CT scan. This dataset contains A-mode measurements and the CT-scan

• 2024-09-10 first online, published, posted

4TU.ResearchData

Ultrasound Images (.TIFF), Tibia and Femur bone model (.stl), Ultrasound transducers models (.stl). Ground truth depth in matlab variable (.mat)

• Indonesia Endowment Fund for Education (grant code S-4266/LPDP.4/2020) Ministry of Finance, Indonesia

Radboud University Medical Center (RadboudUMC) and University of Twente, Department of Biomechanical Engineering