A Dual-Modal Hybrid Marker for Automatic Registration and Coordinate Hand-Over in C-Arm CT-Guided Spinal Navigation.
- 1Department of Electrical, Electronic, and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of Korea.
- 2School of Mechanical Engineering, University of Ulsan, Ulsan 44610, Republic of Korea.
Abstract
An asymmetric hybrid registration frame (RF) integrates radiopaque and optical markers to automate computed tomography (CT) registration and coordinate hand-over to a dynamic reference frame (DRF). We compared automatic and manual fiducial selection using three fixed CT datasets of a rigid sawbone phantom. Ten operators performed five manual registrations per CT, alongside one automatic benchmark per CT. Both methods used the same five registration fiducials, rigid registration procedure, and three evaluation centers excluded from transform estimation. Target registration error (TRE) was the root mean square distance between transformed design centers and CT-detected centers, without probe contact. Across equally weighted CT datasets, mean TRE was 0.538 mm for automatic and 1.565 mm for manual registration. The manual-minus-automatic difference was 1.027 mm (95% operator-bootstrap confidence interval, 0.951-1.148 mm). Mean registration processing times were 2.817 and 22.589 s, respectively. Under these common evaluation conditions, automatic fiducial detection reduced on-frame center discrepancy and registration time. These findings support the integrated registration and handover workflow as a basis for further validation at independent anatomical targets.
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BibTeX
@article{kim2026dualmodal,
title = {{A Dual-Modal Hybrid Marker for Automatic Registration and Coordinate Hand-Over in C-Arm CT-Guided Spinal Navigation.}},
author = {Taeho Kim and Sungmin Kim},
journal = {Sensors (Basel, Switzerland)},
year = {2026},
month = oct,
doi = {10.3390/s26206433},
url = {https://europepmc.org/article/MED/42944296},
note = {CC BY},
}
RIS
TY - JOUR
TI - A Dual-Modal Hybrid Marker for Automatic Registration and Coordinate Hand-Over in C-Arm CT-Guided Spinal Navigation.
AU - Taeho Kim
AU - Sungmin Kim
PY - 2026
DA - 2026/10/12
JO - Sensors (Basel, Switzerland)
DO - 10.3390/s26206433
UR - https://europepmc.org/article/MED/42944296
AB - An asymmetric hybrid registration frame (RF) integrates radiopaque and optical markers to automate computed tomography (CT) registration and coordinate hand-over to a dynamic reference frame (DRF). We compared automatic and manual fiducial selection using three fixed CT datasets of a rigid sawbone phantom. Ten operators performed five manual registrations per CT, alongside one automatic benchmark per CT. Both methods used the same five registration fiducials, rigid registration procedure, and three evaluation centers excluded from transform estimation. Target registration error (TRE) was the root mean square distance between transformed design centers and CT-detected centers, without probe contact. Across equally weighted CT datasets, mean TRE was 0.538 mm for automatic and 1.565 mm for manual registration. The manual-minus-automatic difference was 1.027 mm (95% operator-bootstrap confidence interval, 0.951-1.148 mm). Mean registration processing times were 2.817 and 22.589 s, respectively. Under these common evaluation conditions, automatic fiducial detection reduced on-frame center discrepancy and registration time. These findings support the integrated registration and handover workflow as a basis for further validation at independent anatomical targets.
SN - 1424-8220
ER -