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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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...
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

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Updated: Jun 6, 2026

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
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Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

Published on: February 23, 2024

Dimensional stability in composite cone beam computed tomography.

S Kopp1, P Ottl

  • 1Department of Prosthodontics and Material Sciences, University of Rostock, Germany. dres.kopp@t-online.de

Dento Maxillo Facial Radiology
|November 11, 2010
PubMed
Summary
This summary is machine-generated.

Stitching software expands cone beam CT (CBCT) field of view by merging volumes. Dimensional stability is acceptable for applications like surgical splint fabrication.

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Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
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Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

Area of Science:

  • Dentistry
  • Medical Imaging
  • Radiology

Background:

  • Cone beam CT (CBCT) systems often have limited fields of view (FOV).
  • Expanding FOV by stitching component volumes is desirable for comprehensive imaging.
  • Ensuring dimensional stability is critical for clinical applications, such as surgical splint fabrication.

Purpose of the Study:

  • To evaluate the dimensional stability and accuracy of a stitching software for expanding the FOV of a multipurpose CBCT system.
  • To assess the impact of movement artifacts on image quality and stability.
  • To determine the suitability of the composite volume for potential use in surgical splint fabrication.

Main Methods:

  • Utilized the Kodak 9000 3D extraoral imaging system with stitching software.
  • Acquired CBCT data of a human mandible with endodontic instruments as markers.
  • Measured distances between reproducible points directly and on screen, comparing results.
  • Introduced controlled displacements (linear and angular) to assess system robustness.

Main Results:

  • Standard deviations for vertical distances ranged from 0.212 mm to 0.409 mm (approx. 1-2 voxels).
  • Standard deviations for horizontal and diagonal distances ranged from 0.195 mm to 0.571 mm (approx. 1-3 voxels), excluding specific angulation groups.
  • The stitching software successfully merged up to three volumes, creating a larger FOV (approx. 80 × 80 × 37 mm).
  • Dimensional stability was deemed acceptable despite induced disturbances.

Conclusions:

  • The evaluated stitching software is a valuable tool for increasing CBCT FOV by merging component volumes.
  • The system demonstrates acceptable dimensional stability for potential use in creating larger FOV images.
  • Further research into composite CBCT systems for digital imaging and communications in medicine (DICOM) and splint fabrication is warranted.