Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Bootstrapped ultrasound calibration.

Emad M Boctor1, Iulian Iordachita, Michael A Choti

  • 1Engineering Research Center, Johns Hopkins University, USA.

Studies in Health Technology and Informatics
|January 13, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Exploratory Assessment of Pulsed-Wave Doppler Representations of Lung Sounds Using Deep Learning: An In-Vitro Phantom Study.

medRxiv : the preprint server for health sciences·2026
Same author

CT-override: endoscopic updates to preoperative anatomical models during ablative surgery.

International journal of computer assisted radiology and surgery·2026
Same author

Global region reidentification for camera relocalization in video-based surgical navigation.

International journal of computer assisted radiology and surgery·2026
Same author

Current validation practice undermines surgical AI development.

ArXiv·2026
Same author

Explainable transfer learning ensemble AI model for lung ultrasound pneumothorax detection with expert benchmark.

Scandinavian journal of trauma, resuscitation and emergency medicine·2026
Same author

Advancing Prosthetic Care Access on the Thailand-Burma Border Through Open-Source Technology.

IEEE pulse·2026

This study presents a bootstrapped ultrasound probe calibration method. It improves reconstruction accuracy by optimizing the transformation matrix using independent data for superior results.

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Surgical Navigation

Background:

  • Accurate calibration of ultrasound probes is crucial for precise 3D spatial reconstruction in medical applications.
  • Existing calibration methods often lack robustness and optimal accuracy, limiting their clinical utility.
  • Tracking ultrasound probes in real-time requires reliable calibration for integration with other sensor data.

Purpose of the Study:

  • To introduce an enhanced, bootstrapped method for tracked ultrasound probe calibration.
  • To improve the accuracy and robustness of ultrasound probe calibration.
  • To minimize reconstruction errors for calibration targets.

Main Methods:

  • A position sensor tracks the ultrasound probe in 3D space.

Related Experiment Videos

  • Ultrasound images determine calibration target locations.
  • An initial transformation matrix estimate is bootstrapped for further optimization on independent data.
  • A closed-form calibration solver and sensitivity analysis are employed.

    • Main Results:

    • The bootstrapped method demonstrates superior reconstruction accuracy compared to prior methods.
    • The workflow allows for rapid and robust convergence to an optimal calibration matrix.
    • Minimum reconstruction error on calibration targets is achieved.

    Conclusions:

    • The enhanced bootstrapped calibration method significantly improves reconstruction accuracy.
    • This approach offers a more robust and accurate solution for tracked ultrasound probe calibration.
    • The method has potential for enhanced precision in image-guided interventions and surgical navigation.