Implementation of monocular near-infrared camera tracking in MRI and CT navigation systems

Abstract Purpose: Image-guided intervention (IGI) systems support anatomical registration and real-time instrument tracking during minimally invasive procedures. Existing robotic and navigation solutions are often single-modality, costly, or have limited MRI compatibility. This study presents a cost-effective monocular near-infrared (NIR) tracking system for IGI across multiple modalities while maintaining accuracy and workflow efficiency. Methods: The system, using retroreflective ArUco fiducial markers, was applied to phantom-based percutaneous liver biopsies. Two experiments were conducted under computed tomography (CT) and MRI guidance. Real-time tracking of the needle relative to the phantom and imaging data was performed. An interactive navigation interface was implemented in 3D Slicer. Targeting accuracy and procedure times were evaluated quantitatively. Results: In the CT-guided study, the target positioning error (TPE) and needle-tip tracking error (TTE) were $$10.3 \pm 3.7\,\textrm{mm}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>10.3</mml:mn> <mml:mo>±</mml:mo> <mml:mn>3.7</mml:mn> <mml:mspace/> <mml:mtext>mm</mml:mtext> </mml:mrow> </mml:math> and $$5.0 \pm 1.3\,\textrm{mm}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>5.0</mml:mn> <mml:mo>±</mml:mo> <mml:mn>1.3</mml:mn> <mml:mspace/> <mml:mtext>mm</mml:mtext> </mml:mrow> </mml:math> , respectively, with a total procedure time of $$62 \pm 34\,\textrm{s}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>62</mml:mn> <mml:mo>±</mml:mo> <mml:mn>34</mml:mn> <mml:mspace/> <mml:mtext>s</mml:mtext> </mml:mrow> </mml:math> . In the MRI-guided study, the corresponding values were $$4.6 \pm 1.0\,\textrm{mm}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>4.6</mml:mn> <mml:mo>±</mml:mo> <mml:mn>1.0</mml:mn> <mml:mspace/> <mml:mtext>mm</mml:mtext> </mml:mrow> </mml:math> , $$4.7 \pm 2.3\,\textrm{mm}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>4.7</mml:mn> <mml:mo>±</mml:mo> <mml:mn>2.3</mml:mn> <mml:mspace/> <mml:mtext>mm</mml:mtext> </mml:mrow> </mml:math> , and $$113 \pm 65\,\textrm{s}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>113</mml:mn> <mml:mo>±</mml:mo> <mml:mn>65</mml:mn> <mml:mspace/> <mml:mtext>s</mml:mtext> </mml:mrow> </mml:math> , respectively. Conclusion: The proposed navigation system demonstrates strong potential as an accessible and versatile alternative for image-guided needle interventions across multiple imaging modalities. Furthermore, the system shows promise for future extension to other IGI procedures.

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Publication Details

Journal
International Journal of Computer Assisted Radiology and Surgery
Published
2026-07-30
DOI
https://doi.org/10.1007/s11548-026-03758-1
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Implementation of monocular near-infrared camera tracking in MRI and CT navigation systems

Marius Siegfarth, Javier Moviglia, Florian Kehrein, Jan Stallkamp et al.
International Journal of Computer Assisted Radiology and Surgery
Soft Robotics and Applications
article

Implementation of monocular near-infrared camera tracking in MRI and CT navigation systems

Marius Siegfarth, Javier Moviglia, Florian Kehrein, Jan Stallkamp, Lukas Kuntz, Urs Florian Herrmann
article en

Abstract

Abstract Purpose: Image-guided intervention (IGI) systems support anatomical registration and real-time instrument tracking during minimally invasive procedures. Existing robotic and navigation solutions are often single-modality, costly, or have limited MRI compatibility. This study presents a cost-effective monocular near-infrared (NIR) tracking system for IGI across multiple modalities while maintaining accuracy and workflow efficiency. Methods: The system, using retroreflective ArUco fiducial markers, was applied to phantom-based percutaneous liver biopsies. Two experiments were conducted under computed tomography (CT) and MRI guidance. Real-time tracking of the needle relative to the phantom and imaging data was performed. An interactive navigation interface was implemented in 3D Slicer. Targeting accuracy and procedure times were evaluated quantitatively. Results: In the CT-guided study, the target positioning error (TPE) and needle-tip tracking error (TTE) were $$10.3 \pm 3.7\,\textrm{mm}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>10.3</mml:mn> <mml:mo>±</mml:mo> <mml:mn>3.7</mml:mn> <mml:mspace/> <mml:mtext>mm</mml:mtext> </mml:mrow> </mml:math> and $$5.0 \pm 1.3\,\textrm{mm}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>5.0</mml:mn> <mml:mo>±</mml:mo> <mml:mn>1.3</mml:mn> <mml:mspace/> <mml:mtext>mm</mml:mtext> </mml:mrow> </mml:math> , respectively, with a total procedure time of $$62 \pm 34\,\textrm{s}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>62</mml:mn> <mml:mo>±</mml:mo> <mml:mn>34</mml:mn> <mml:mspace/> <mml:mtext>s</mml:mtext> </mml:mrow> </mml:math> . In the MRI-guided study, the corresponding values were $$4.6 \pm 1.0\,\textrm{mm}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>4.6</mml:mn> <mml:mo>±</mml:mo> <mml:mn>1.0</mml:mn> <mml:mspace/> <mml:mtext>mm</mml:mtext> </mml:mrow> </mml:math> , $$4.7 \pm 2.3\,\textrm{mm}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>4.7</mml:mn> <mml:mo>±</mml:mo> <mml:mn>2.3</mml:mn> <mml:mspace/> <mml:mtext>mm</mml:mtext> </mml:mrow> </mml:math> , and $$113 \pm 65\,\textrm{s}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>113</mml:mn> <mml:mo>±</mml:mo> <mml:mn>65</mml:mn> <mml:mspace/> <mml:mtext>s</mml:mtext> </mml:mrow> </mml:math> , respectively. Conclusion: The proposed navigation system demonstrates strong potential as an accessible and versatile alternative for image-guided needle interventions across multiple imaging modalities. Furthermore, the system shows promise for future extension to other IGI procedures.

International Journal of Computer Assisted Radiology and Surgery
Heidelberg University (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 17%
Soft Robotics and Applications
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