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Related Concept Videos

Ultrasonography01:17

Ultrasonography

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Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
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Imaging Studies II: Ultrasonography01:24

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IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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Related Experiment Video

Updated: May 2, 2026

An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging
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A Novel Shape-Prior-Guided Automatic Calibration Method for Free-Hand Three-Dimensional Ultrasonography.

Xing-Yang Liu1, Jia-Xu Zhao1, Hui Tang2

  • 1The School of Biological Science and Medical Engineering, Southeast University, Nanjing 211189, China.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
Summary

This study introduces an automated ultrasound probe calibration method using an N-wire phantom. The new technique enhances accuracy and efficiency for surgical navigation and 3D imaging systems.

Keywords:
N-wire phantomRANSAC-based outlier rejectionautomatic feature extractionultrasound probe calibration

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Area of Science:

  • Medical Imaging
  • Robotics
  • Computer-Aided Surgery

Background:

  • Accurate spatial mapping is essential for ultrasound-guided surgical navigation and 3D imaging.
  • Current ultrasound probe calibration methods lack robustness and efficiency due to manual processes and outlier sensitivity.

Purpose of the Study:

  • To develop a fully automated and robust ultrasound probe calibration framework.
  • To improve accuracy, reproducibility, and efficiency in ultrasound probe calibration.

Main Methods:

  • A novel automated calibration framework utilizing geometric priors of an N-wire phantom.
  • Robust feature point extraction and a hybrid outlier rejection strategy based on the Random Sample Consensus (RANSAC) algorithm.

Main Results:

  • Achieved sub-millimeter accuracy (<0.6 mm) across various imaging depths.
  • Calibration process completed in under two minutes with high repeatability.
  • Demonstrated robustness to outliers.

Conclusions:

  • The proposed framework offers a robust, accurate, and time-efficient solution for ultrasound probe calibration.
  • The method shows significant potential for clinical integration in surgical navigation and 3D ultrasound applications.