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Active phantoms: a paradigm for ultrasound calibration using phantom feedback
Alexis Cheng1, Xiaoyu Guo2, Haichong K Zhang1
1Johns Hopkins University, Department of Computer Science, Baltimore, Maryland, United States.
Journal of Medical Imaging (Bellingham, Wash.)
|September 13, 2017
Summary
This study introduces an active echo (AE) phantom for ultrasound (US) calibration, improving tool tracking accuracy in medical procedures. The AE phantom offers consistent results independent of image quality and automates segmentation.
Area of Science:
- Medical Imaging
- Robotics
- Biomedical Engineering
Background:
- Accurate tracking of interventional tools in ultrasound (US)-guided procedures is vital for patient safety and clinical outcomes.
- Current calibration methods rely on passive phantoms, which are susceptible to image quality variations and in-plane assumptions.
- Existing techniques necessitate manual adjustments, increasing user dependency and potential for error.
Purpose of the Study:
- To introduce and evaluate an active echo (AE) phantom for robust ultrasound calibration.
- To automate target localization and segmentation, reducing user dependency and improving consistency.
- To compare the performance of the AE phantom against traditional crosswire phantoms in a robotic setup.
Main Methods:
- Development of an active phantom that detects and responds to ultrasound beams, generating an active echo (AE).
- Implementation of automated target localization and segmentation using the AE signal, independent of image quality parameters.
- Experimental comparison of the AE phantom with a crosswire phantom in a robotic ultrasound system.
- Demonstration of an out-of-plane estimation method to address elevational uncertainty.
Main Results:
- The AE calibration phantom demonstrated more consistent results across varying ultrasound image configurations compared to passive phantoms.
- Automated segmentation using the AE phantom achieved performance comparable to manual segmentation.
- The AE approach allows for midplane identification independent of image quality, enhancing reliability.
Conclusions:
- The active echo phantom provides a more reliable and consistent ultrasound calibration method, particularly in challenging imaging conditions.
- Automation of segmentation and localization reduces user dependency and enhances the precision of interventional tool tracking.
- This technology has the potential to improve patient safety and clinical outcomes in ultrasound-guided procedures.

