Elektrische bio-impedantiegebaseerde instrumentgeleiding voor medische toepassingen

Precise instrument guidance is essential for the safety and effectiveness of minimally invasive medical procedures. Across applications such as neurosurgical micromanipulation, cardiovascular interventions, and needle-based therapies, clinicians operate in confined, deformable, and often non-visible environments where millimeter-scale deviations can compromise outcomes. Persistent challenges include physiological motion at the microscale, ambiguous instrument alignment in complex anatomy, and limited tip-level awareness when direct visualization is unavailable. Existing guidance modalities—such as fluoroscopy, CT, ultrasound, electromagnetic tracking, and fiber-optic sensing—address parts of these challenges but are limited by radiation exposure, hardware complexity, line-of-sight constraints, susceptibility to interference, or poor integration with medical instruments. This PhD research establishes electrical bioimpedance (EBI) sensing as a compact, radiation-free, and real-time modality capable of providing localized information directly at the instrument tip. The thesis develops physics-based models, optimized electrode configurations, and real-time estimation algorithms to transform impedance measurements into actionable guidance cues. The work demonstrates that EBI can be elevated from a qualitative tissue-contact indicator to a quantitative, model-driven sensing layer for intelligent instrument navigation. The contributions are validated across three distinct medical scenarios: physiological motion compensation, catheter alignment guidance, and proximity-based needle depth estimation.

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Publication Details

Journal
Lirias
Published
2026-03-17
Primary Topic
Electrical and Bioimpedance Tomography
Type
article
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article

Elektrische bio-impedantiegebaseerde instrumentgeleiding voor medische toepassingen

Yao Zhang
Lirias
Electrical and Bioimpedance Tomography
article

Elektrische bio-impedantiegebaseerde instrumentgeleiding voor medische toepassingen

Yao Zhang
article en

Abstract

Precise instrument guidance is essential for the safety and effectiveness of minimally invasive medical procedures. Across applications such as neurosurgical micromanipulation, cardiovascular interventions, and needle-based therapies, clinicians operate in confined, deformable, and often non-visible environments where millimeter-scale deviations can compromise outcomes. Persistent challenges include physiological motion at the microscale, ambiguous instrument alignment in complex anatomy, and limited tip-level awareness when direct visualization is unavailable. Existing guidance modalities—such as fluoroscopy, CT, ultrasound, electromagnetic tracking, and fiber-optic sensing—address parts of these challenges but are limited by radiation exposure, hardware complexity, line-of-sight constraints, susceptibility to interference, or poor integration with medical instruments. This PhD research establishes electrical bioimpedance (EBI) sensing as a compact, radiation-free, and real-time modality capable of providing localized information directly at the instrument tip. The thesis develops physics-based models, optimized electrode configurations, and real-time estimation algorithms to transform impedance measurements into actionable guidance cues. The work demonstrates that EBI can be elevated from a qualitative tissue-contact indicator to a quantitative, model-driven sensing layer for intelligent instrument navigation. The contributions are validated across three distinct medical scenarios: physiological motion compensation, catheter alignment guidance, and proximity-based needle depth estimation.

Lirias
Openalex Percentile: Top 35%
Electrical and Bioimpedance Tomography
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