Automated localization of mini-screw fiducials in spine CT scans

Ryan Duke; Xiaoyao Fan; William R. Warner; Steven Baltic; Kristen Chen; Linton Evans; Songbai Ji; Sohail Mirza; Keith Paulsen

doi:10.1117/12.2654221

3 April 2023 Automated localization of mini-screw fiducials in spine CT scans

Ryan Duke, Xiaoyao Fan, William R. Warner, Steven Baltic, Kristen Chen, Linton Evans, Songbai Ji, Sohail Mirza, Keith Paulsen

Author Affiliations +

Proceedings Volume 12466, Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling; 124662J (2023) https://doi.org/10.1117/12.2654221
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Conference Poster

Abstract

Miniature Screws, often used for fiducials, are currently localized on DICOM images manually. This time-consuming process can add tens of minutes to the computational process for registration, or error analysis. Through a series of morphological operations, this localization task can be completed in a time much less than a second when performed on a standard laptop. Two image sets were analyzed. The first data set consisted of six intraoperative CT (iCT) scans of the lumbar spine of both cadaver and live porcine samples. This dataset includes not only implanted mini-screws, but other metal instrumentation. The second dataset consists of 6 semi-rigidly deformed CT (uCT) scans of the lumbar spine of the same animals. This dataset has been intensity down sampled from 16 bits to eight bits as a pre-processing step. Also, due to other deformation steps, other artifacts are apparent. Both datasets show at least 18 mini-screws which were rigidly implanted in the lumbar vertebrae. Each vertebra has at least three mini-screws implanted. These images were processed as follows: projection image forming via maximum row values, thresholding, opening, non-circular regions were removed, and circular regions were eroded. Leaving voxel locations of the center of each mini-screw. The aforementioned steps can be completed with a mean computational efficiency of .0365 seconds. Which is an unobtainable time for manual localization. Even by the most skilled. The true positive rates of the iCT and uCT datasets were 96.

Citation Download Citation

Ryan Duke, Xiaoyao Fan, William R. Warner, Steven Baltic, Kristen Chen, Linton Evans, Songbai Ji, Sohail Mirza, and Keith Paulsen "Automated localization of mini-screw fiducials in spine CT scans", Proc. SPIE 12466, Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, 124662J (3 April 2023); https://doi.org/10.1117/12.2654221

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