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Precision Needle Localization Using Electromagnetic Tracking and AR Visualization in Ventricular Interventions

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dc.contributor.authorChoi, S.-
dc.contributor.authorKoo, K.-
dc.contributor.authorRoh, T. H.-
dc.contributor.authorPark, C. U.-
dc.date.accessioned2026-03-23T06:20:56Z-
dc.date.available2026-03-23T06:20:56Z-
dc.date.created2026-03-23-
dc.date.issued2025-12-
dc.identifier.issn2375-7477-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/211432-
dc.description.abstractThis study introduces an augmented reality (AR) system using electromagnetic (EM) stylet tracking to enhance surgical precision and patient safety for external ventricular drainage (EVD). By integrating a tablet PC, 3D camera, and EM tracking system, this study developed a real-time navigation method for catheter insertion. The system employs deep learning facial landmark detection and coordinate registration techniques to align CT, 3D camera, and EM tracking systems. A phantom model experiment was conducted with 20 trials: 20 drainage procedures and 20 accuracy measurements. All 20 drainage attempts were successful. And the Euclidean distance error for the 20 trials of measurement was 1.68 +/- 0.66 mm. The research suggests significant potential for further development of AR technologies in neurosurgical interventions, highlighting the importance of continuous technological innovation in medical precision procedures.-
dc.languageEnglish-
dc.publisherIEEE-
dc.relation.isPartOf2025 47TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, EMBC-
dc.relation.isPartOfAnnual International Conference of the IEEE Engineering in Medicine and Biology Society-
dc.titlePrecision Needle Localization Using Electromagnetic Tracking and AR Visualization in Ventricular Interventions-
dc.typeArticle-
dc.contributor.googleauthorChoi, S.-
dc.contributor.googleauthorKoo, K.-
dc.contributor.googleauthorRoh, T. H.-
dc.contributor.googleauthorPark, C. U.-
dc.identifier.doi10.1109/EMBC58623.2025.11253039-
dc.relation.journalcodeJ04059-
dc.identifier.eissn2694-0604-
dc.identifier.pmid41336115-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/11253039-
dc.contributor.affiliatedAuthorRoh, T. H.-
dc.identifier.scopusid2-s2.0-105023767043-
dc.identifier.wosid001673004000554-
dc.identifier.bibliographicCitation2025 47TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, EMBC, 2025-12-
dc.identifier.rimsid92164-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Biomedical-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers

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