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Related Concept Videos

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Imaging Studies I: CT and MRI01:14

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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.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
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Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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Computed Tomography01:10

Computed Tomography

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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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Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

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Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
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Ankle Joint01:10

Ankle Joint

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The ankle is formed by the talocrural joint (crural = leg). It consists of the articulations between the talus bone of the foot and the distal ends of the tibia and fibula of the leg. The superior aspect of the talus bone is square-shaped and has three areas of articulation. The top of the talus articulates with the inferior tibia. This is the portion of the ankle joint that carries the body weight between the leg and foot. The sides of the talus are firmly held in position by the articulations...
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Related Experiment Video

Updated: Apr 28, 2026

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
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AI-assisted six-dimensional CT imaging for joint instability assessment.

Chunming Gu1, Aeden K Davis1, Andrew R Thoreson2

  • 1Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Proceedings of Spie--The International Society for Optical Engineering
|April 27, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI)-assisted six-dimensional CT (6DCT) enhances joint instability assessment by integrating dynamic data. This novel imaging approach improves visualization and quantitative analysis of joint motion, aiding in early osteoarthritis detection.

Keywords:
6DCTdeep learningjoint instabilitymaterial decompositionmotion correctionmotion simulation

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Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Biomedical Engineering

Background:

  • Assessing joint instability, a precursor to osteoarthritis, is challenging with current static imaging.
  • Arthritis leads to significant functional disability and morbidity.

Purpose of the Study:

  • To develop and validate an AI-assisted six-dimensional CT (6DCT) imaging technique for improved joint instability assessment.
  • To integrate dynamic data including spatial, temporal, spectral information, and joint kinematics.

Main Methods:

  • Developed a physics-informed motion correction network (ATOM) for dynamic CT images.
  • Developed a physics-informed prior-assisted Bayesian network (PMBD) for multi-material decomposition and soft tissue differentiation.
  • Derived kinematic metrics from motion-corrected images for joint motion pattern characterization.

Main Results:

  • ATOM significantly reduced motion artifacts in dynamic wrist CT scans (p<0.05).
  • PMBD improved material quantification accuracy and soft tissue differentiation, highlighting pathological features.
  • Validated the 6DCT technique using patient, cadaver, and phantom scans.

Conclusions:

  • AI-assisted 6DCT offers accurate visualization and quantitative assessment of dynamic joint pathology.
  • This technology has the potential to revolutionize the early detection and management of joint instability and osteoarthritis.