Automated Intraprocedural Detection and Registration of Interventional Devices via Characteristic Fiducial Markers

Motivation: Image-guided interventions leverage MR-imaging to orient surgical tools relative to internal anatomy. Automated fiducial detection improves workflow efficiency and accuracy relative to manual selection. Goal(s): To develop and evaluate an autonomous approach for detecting and registering device fiducials during intraprocedural MRI. Approach: Twelve high-resolution volumetric scans of a trajectory guide with a characteristic fiducial design were acquired. Image processing methods determined the fiducial's location and orientation. Results: Across two cadaver and ten phantom scans, automated methods isolated the fiducial 10/12 times, and coregistered it to a template with a Dice coefficient of 0.82 in T2 acquisitions. Impact: Applied methods were able to leverage geometric information from characteristic fiducial markers to fully autonomously identify and orient a stereotactic trajectory guide, streamlining an often manual or multimodal step in many workflows for MRI-guided interventions.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2206
Primary Topic
Medical Imaging and Analysis
Type
article
Field-Weighted Citation Impact
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article

Automated Intraprocedural Detection and Registration of Interventional Devices via Characteristic Fiducial Markers

Walter F. Block, Thomas Lilieholm, José Guerrero-González, Andrew Alexander et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Medical Imaging and Analysis
article

Automated Intraprocedural Detection and Registration of Interventional Devices via Characteristic Fiducial Markers

Walter F. Block, Thomas Lilieholm, José Guerrero-González, Andrew Alexander, Terrence R. Oakes
article en

Abstract

Motivation: Image-guided interventions leverage MR-imaging to orient surgical tools relative to internal anatomy. Automated fiducial detection improves workflow efficiency and accuracy relative to manual selection. Goal(s): To develop and evaluate an autonomous approach for detecting and registering device fiducials during intraprocedural MRI. Approach: Twelve high-resolution volumetric scans of a trajectory guide with a characteristic fiducial design were acquired. Image processing methods determined the fiducial's location and orientation. Results: Across two cadaver and ten phantom scans, automated methods isolated the fiducial 10/12 times, and coregistered it to a template with a Dice coefficient of 0.82 in T2 acquisitions. Impact: Applied methods were able to leverage geometric information from characteristic fiducial markers to fully autonomously identify and orient a stereotactic trajectory guide, streamlining an often manual or multimodal step in many workflows for MRI-guided interventions.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 76%
Medical Imaging and Analysis
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