ArticlePhysics in medicine and biology2017
Planning, guidance, and quality assurance of pelvic screw placement using deformable image registration.
Article in Physics in medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 24 citations in OpenAlex.
- Feature-based multimodal 3D/2D and 3D/3D registration framework for pedicle screw registration and evaluation.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Sacral dysmorphism and gender-specific variations: A CT-Based approach to safe percutaneous sacral screw placement - An ambispective study.Journal of clinical orthopaedics and trauma · 2025Article
- An End-to-End Geometry-Based Pipeline for Automatic Preoperative Surgical Planning of Pelvic Fracture Reduction and Fixation.IEEE transactions on medical imaging · 2025Article
- The Application of Augmented Reality Technology in Perioperative Visual Guidance: Technological Advances and Innovation Challenges.Sensors (Basel, Switzerland) · 2024Review
- A Hybrid 3D-2D Image Registration Framework for Pedicle Screw Trajectory Registration between Intraoperative X-ray Image and Preoperative CT Image.Journal of imaging · 2022Article
- Preclinical evaluation of a prototype freehand drill video guidance system for orthopedic surgery.Journal of medical imaging (Bellingham, Wash.) · 2022Article
- Deformable 3D-2D registration for high-precision guidance and verification of neuroelectrode placement.Physics in medicine and biology · 2021Article
- Data-Driven Deformable 3D-2D Registration for Guiding Neuroelectrode Placement in Deep Brain Stimulation.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Development and Pre-Clinical Analysis of Spatiotemporal-Aware Augmented Reality in Orthopedic Interventions.IEEE transactions on medical imaging · 2021Article
- Drill-mounted video guidance for orthopaedic trauma surgery.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- Multi-body 3D-2D registration for image-guided reduction of pelvic dislocation in orthopaedic trauma surgery.Physics in medicine and biology · 2020Article
- Atlas-based automatic planning and 3D-2D fluoroscopic guidance in pelvic trauma surgery.Physics in medicine and biology · 2019Article
- Toward Perception-based Anticipation of Cortical Breach During K-wire Fixation of the Pelvis.Proceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
Abstract
Percutaneous pelvic screw placement is challenging due to narrow bone corridors surrounded by vulnerable structures and difficult visual interpretation of complex anatomical shapes in 2D x-ray projection images. To address these challenges, a system for planning, guidance, and quality assurance (QA) is presented, providing functionality analogous to surgical navigation, but based on robust 3D-2D image registration techniques using fluoroscopy images already acquired in routine workflow. Two novel aspects of the system are investigated: automatic planning of pelvic screw trajectories and the ability to account for deformation of surgical devices (K-wire deflection). Atlas-based registration is used to calculate a patient-specific plan of screw trajectories in preoperative CT. 3D-2D registration aligns the patient to CT within the projective geometry of intraoperative fluoroscopy. Deformable known-component registration (dKC-Reg) localizes the surgical device, and the combination of plan and device location is used to provide guidance and QA. A leave-one-out analysis evaluated the accuracy of automatic planning, and a cadaver experiment compared the accuracy of dKC-Reg to rigid approaches (e.g. optical tracking). Surgical plans conformed within the bone cortex by 3-4 mm for the narrowest corridor (superior pubic ramus) and >5 mm for the widest corridor (tear drop). The dKC-Reg algorithm localized the K-wire tip within 1.1 mm and 1.4° and was consistently more accurate than rigid-body tracking (errors up to 9 mm). The system was shown to automatically compute reliable screw trajectories and accurately localize deformed surgical devices (K-wires). Such capability could improve guidance and QA in orthopaedic surgery, where workflow is impeded by manual planning, conventional tool trackers add complexity and cost, rigid tool assumptions are often inaccurate, and qualitative interpretation of complex anatomy from 2D projections is prone to trial-and-error with extended fluoroscopy time.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.