Data underlying the publication: "Reliability and Accuracy of A-mode Ultrasound for Non-invasive Bone Surface Detection"

DOI:10.4121/d658099a-0d96-44d9-be87-35edaf2b4375.v2
The DOI displayed 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

Datacite citation style

Christie, Dennis (2025): Data underlying the publication: "Reliability and Accuracy of A-mode Ultrasound for Non-invasive Bone Surface Detection". Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/d658099a-0d96-44d9-be87-35edaf2b4375.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 2 - 2025-10-23 (latest)
Version 1 - 2024-09-10

GENERAL DESCRIPTION:

This is data that was collected for study titled: Reliability and Accuracy of A-mode Ultrasound for Non-invasive Bone Surface Detection. As the title suggests, we were trying to validate the reliability and accuracy of A-mode Ultrasound measurement. We want to know if the operators who observing the A-mode signal to identify bone peak are actually selecting the correct bone peak. So we conducted an experiment where we measure A-mode ultrasound while simultaneously performing CT-scan on a cadaveric leg.


GENERAL DATA DESCRIPTION:

There are two main data, structured into two folders, CT (for data derived from CT-scan) and US (for data derived from A-mode Ultrasound data). Each folders has two groups of data, corresponding to the number of CT-scan we conducted (there were two scans). In every folder there is README.txt, explaining the brief description of each folders and files. To use and process the data, a custom software made from MATLAB was developed. Please refer to https://github.com/dacvm/Amode_Validation.git

History

  • 2024-09-10 first online
  • 2025-10-23 published, posted

Publisher

4TU.ResearchData

Format

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

Funding

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

Organizations

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

DATA

Files (1)