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Computed Tomography

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...

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Related Experiment Video

Updated: May 1, 2026

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

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A Simple and Precise Procedure for a Complete Characterization of a Cone-Beam Computed Tomography System.

Kun-Long Shih¹, Shih-Chun Jin^1,2, Chia-Wei Wang²

¹Department of Electro-Optical Engineering, National Taipei University of Technology, Taipei 106344, Taiwan.

Sensors (Basel, Switzerland)

|March 17, 2025

Summary

This study presents a new method to precisely calibrate cone-beam computed tomography (CBCT) systems, accounting for both detector alignment and slanted sample platforms. The validated procedure improves accuracy for dental CBCT calibration and reconstruction quality analysis.

Keywords:

calibration cone-beam computed tomography ellipse fitting precision alignment loop

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Area of Science:

Medical Imaging
Radiological Physics
Image Reconstruction

Background:

Cone-beam computed tomography (CBCT) calibration requires assessing detector alignment and sample platform tilt.
Previous methods accurately calibrated detector misalignment but did not address sample platform slant.

Purpose of the Study:

To generalize a prior calibration procedure to simultaneously detect and correct for sample platform tilt in CBCT systems.
To enhance the precision of CBCT system calibration beyond previous methodologies.

Main Methods:

Developed a generalized calibration procedure using a cylindrical phantom with beads.
The method determines the tilt angle between the phantom's central axis and the CBCT's axis of rotation.
Validated the procedure on a dental CBCT system and analyzed reconstruction quality using a HA phantom.

Main Results:

The new procedure achieves calibration accuracy with errors in misaligned angles within ±0.03°.
Successfully calibrated a dental CBCT system with a tilting sample platform.
Demonstrated good accuracy in rectifying the effects of a tilting sample platform.

Conclusions:

A validated and accurate method for CBCT system calibration, including correction for tilting sample platforms, has been established.
The enhanced precision benefits the overall quality of CBCT image reconstruction.
This work provides a significant advancement in CBCT calibration techniques.