Feature-based multimodal 3D/2D and 3D/3D registration framework for pedicle screw registration and evaluation

The proposed feature-based registration framework provides fast and accurate 3D trajectory information. This method improves surgical precision and offers robust evaluation metrics, making it a reliable tool for spine navigation and clinical diagnosis during pedicle screw placement procedures.

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Publication Details

Journal
European Spine Journal
Published
2025-09-13
DOI
https://doi.org/10.1007/s00586-025-09342-6
Primary Topic
Medical Imaging and Analysis
Type
article
Field-Weighted Citation Impact
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article

Feature-based multimodal 3D/2D and 3D/3D registration framework for pedicle screw registration and evaluation

Roshan Ramakrishna Naik, Shyamasunder N Bhat, H Anitha, Usha Kiran
European Spine Journal
Medical Imaging and Analysis
article

Feature-based multimodal 3D/2D and 3D/3D registration framework for pedicle screw registration and evaluation

Roshan Ramakrishna Naik, Shyamasunder N Bhat, H Anitha, Usha Kiran
article en

Abstract

The proposed feature-based registration framework provides fast and accurate 3D trajectory information. This method improves surgical precision and offers robust evaluation metrics, making it a reliable tool for spine navigation and clinical diagnosis during pedicle screw placement procedures.

European Spine JournalVol. 35(3)
Nitte University (IN), Manipal Academy of Higher Education (IN)
Openalex Percentile: Top 77%
Medical Imaging and Analysis
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Feature-based multimodal 3D/2D and 3D/3D registration framework for pedicle screw registration and evaluation — Roshan Ramakrishna Naik, Shyamasunder N Bhat, et al. · European Spine Journal (2025) | TGRS Research Map | TGRS