Enhancing electromagnetic tracking: a hybrid pose calculation algorithm and a novel transmitting coil calibration approach

Abstract Medical electromagnetic tracking technology offers significant benefits in puncture and interventional surgeries by effectively mitigating obstacles. Traditional optimization-based algorithms for pose estimation in electromagnetic localization often converge to local optima and exhibit slow iterative convergence, which limits their accuracy and efficiency. To address these issues, we propose an enhanced pose estimation algorithm that integrates advanced optimization techniques for receiver sensors. The algorithm successfully converged to the global optimal solution in all test cases and no local optimal solution problem occurred in certain volume, which enables rapid real-time tracking of multiple coils simultaneously, outperforming traditional methods. Furthermore, we have developed a novel calibration method for transmission coils that corrects manufacturing-induced errors in size, position, and orientation. These innovations achieved system positional accuracy of 2.64 mm and directional accuracy of 1.33 degrees within a tracking volume of 350 × 350 × 350 mm 3 .

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Publication Details

Journal
Physica Scripta
Published
2025-02-20
DOI
https://doi.org/10.1088/1402-4896/adb8aa
Citations
1
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
1.49

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article

Enhancing electromagnetic tracking: a hybrid pose calculation algorithm and a novel transmitting coil calibration approach

Rongqian Yang, Jiacheng Lai, Yuanyuan Feng, John Z. Shi et al.
1 citations
Physica Scripta
Sensor Technology and Measurement Systems
1.49
article

Enhancing electromagnetic tracking: a hybrid pose calculation algorithm and a novel transmitting coil calibration approach

Rongqian Yang, Jiacheng Lai, Yuanyuan Feng, John Z. Shi, Shihan Wen
article en
1 citations

Abstract

Abstract Medical electromagnetic tracking technology offers significant benefits in puncture and interventional surgeries by effectively mitigating obstacles. Traditional optimization-based algorithms for pose estimation in electromagnetic localization often converge to local optima and exhibit slow iterative convergence, which limits their accuracy and efficiency. To address these issues, we propose an enhanced pose estimation algorithm that integrates advanced optimization techniques for receiver sensors. The algorithm successfully converged to the global optimal solution in all test cases and no local optimal solution problem occurred in certain volume, which enables rapid real-time tracking of multiple coils simultaneously, outperforming traditional methods. Furthermore, we have developed a novel calibration method for transmission coils that corrects manufacturing-induced errors in size, position, and orientation. These innovations achieved system positional accuracy of 2.64 mm and directional accuracy of 1.33 degrees within a tracking volume of 350 × 350 × 350 mm 3 .

Physica ScriptaVol. 100(4)
MWT Materials (United States) (US), Guangzhou Electronic Technology (China) (CN), South China University of Technology (CN)
Natural Science Foundation of Guangdong Province
Openalex Percentile: Top 20%
Sensor Technology and Measurement Systems
1.49
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Enhancing electromagnetic tracking: a hybrid pose calculation algorithm and a novel transmitting coil calibration approach — Rongqian Yang, Jiacheng Lai, et al. · Physica Scripta (2025) | TGRS Research Map | TGRS