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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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Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences
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Accuracy of digital model generated from CT data with metal artifact reduction algorithm.

Chena Lee1, Ari Lee1, Yoon Joo Choi1

  • 1Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, 50-1 Yonsei-ro Seodaemun-gu, Seoul, 03722, Korea.

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Summary
This summary is machine-generated.

Metal artifact reduction (MAR) on computed tomography (CT) scans improves digital model precision. This technique is accurate for dental digital modeling, regardless of artifact amount.

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Area of Science:

  • Radiology
  • Dental Imaging
  • Medical Modeling

Background:

  • Metal artifacts in computed tomography (CT) scans can compromise the accuracy of digital models.
  • Metal artifact reduction (MAR) algorithms are designed to mitigate these artifacts.

Purpose of the Study:

  • To evaluate the precision of digital models generated from MAR-applied CT scans.
  • To investigate the correlation between metal artifact levels and digital model accuracy.
  • To assess the clinical applicability of MAR for dental digital modeling.

Main Methods:

  • Thirty maxillofacial CT scans with metal artifacts were analyzed.
  • A MAR algorithm was applied to reduce artifacts.
  • Digital models were created from original and MAR-applied CT data.
  • Superimposition and deviation measurements were performed to assess accuracy.

Main Results:

  • The MAR algorithm successfully reduced metal artifacts in all scans.
  • The mean deviation for MAR-applied models was 0.0868 mm, indicating high accuracy.
  • No significant correlation was found between artifact amount and model deviation.

Conclusions:

  • MAR-applied CT scans provide clinically acceptable accuracy for generating digital models.
  • The MAR algorithm is effective and can be used irrespective of the quantity of metal artifacts present.
  • This method offers a convenient approach for manipulating dental digital models.