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Current Uses for Medical Imaging With Orthopaedic Implant Technology
Jordan S Broberg1, Matthew G Teeter2
1Department of Orthopaedics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Summary
Medical imaging innovations enhance orthopedic implant care. Advanced techniques like AI and computational modeling improve surgical planning, implant evaluation, and complication diagnosis, leading to more personalized patient interventions.
Area of Science:
- Orthopaedic Surgery
- Medical Imaging
- Biomedical Engineering
Background:
- Musculoskeletal applications have historically relied on medical imaging, with X-rays being routine in orthopaedics.
- Established modalities like radiography, fluoroscopy, computed tomography (CT), and magnetic resonance imaging (MRI) serve critical roles in surgical planning, complication diagnosis, and soft tissue assessment.
- Emerging techniques such as weight-bearing CT (WBCT), 4D CT, low-field MRI, and positron emission tomography (PET) show promise but face accessibility challenges.
Purpose of the Study:
- To review current and emerging medical imaging modalities and computational techniques for orthopaedic implant applications.
- To highlight how advancements in imaging and data analysis are improving patient-specific interventions and implant evaluation.
- To discuss the impact of technological innovations on the future of orthopaedic care.
Main Methods:
- Review of established and novel medical imaging techniques (radiography, CT, MRI, ultrasound, WBCT, 4DCT, PET).
- Exploration of computational modeling, artificial intelligence (AI), and radiomics applications in medical image analysis.
- Discussion of advancements in image reconstruction algorithms for artifact reduction.
Main Results:
- AI and computational modeling automate segmentation, enabling patient-specific finite element modeling for surgical planning and implant evaluation.
- Radiomics aids in implant identification and improves the diagnosis of implant complications.
- New reconstruction algorithms effectively reduce metal artifacts, enhancing image clarity near implants.
Conclusions:
- Innovations in medical imaging, including AI and advanced modeling, are significantly improving the care of patients with orthopaedic implants.
- These technologies facilitate more personalized interventions, better surgical planning, and more accurate diagnoses of implant-related issues.
- The integration of advanced imaging and computational analysis promises to further revolutionize orthopaedic patient care.
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