GUI-based Pedicle Screw Planning on Fluoroscopic Images Utilizing Vertebral Segmentation
Vivek Maik, Aparna Purayath, Durga R, Manojkumar Lakshmanan,, Mohanasankar Sivaprakasm

TL;DR
This paper introduces a GUI framework for intraoperative pedicle screw planning using fluoroscopic images, leveraging vertebral segmentation and synchronized coronal and sagittal projections for efficient surgical planning.
Contribution
It presents a novel GUI tool that enables dynamic, synchronized pedicle screw planning on fluoroscopic images, integrating vertebral segmentation and projective correspondence.
Findings
Time-efficient planning process
Cost-effective intraoperative tool
Enhanced accuracy in screw placement
Abstract
The proposed work establishes a novel Graphical User Interface (GUI) framework, primarily designed for intraoperative pedicle screw planning. Current planning workflow in Image Guided Surgeries primarily relies on pre-operative CT planning. Intraoperative CT planning can be time-consuming and expensive and thus is not a common practice. In situations where efficiency and cost-effectiveness are paramount, planning to utilize fluoroscopic images acquired for image registration emerges as the optimal choice. The methodology proposed in this study employs a simulated 3D pedicle screw to calculate its coronal and sagittal projections for pedicle screw planning using anterior-posterior (AP) and lateral (LP) images. The initialization and placement of pedicle screw is computed by utilizing the bounding box of vertebral segmentation, which is obtained by the application of enhanced YOLOv5. The…
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Taxonomy
TopicsMedical Imaging and Analysis · Spinal Fractures and Fixation Techniques · Spine and Intervertebral Disc Pathology
MethodsSparse Evolutionary Training
