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Related Concept Videos

Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

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Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
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Computed Tomography (CT) scan:
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Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Updated: Jan 18, 2026

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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.

Journal of Orthopaedic Research : Official Publication of the Orthopaedic Research Society
|January 16, 2026
PubMed
Summary
This summary is machine-generated.

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.

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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.