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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: Jun 17, 2026

Dual-phase Cone-beam Computed Tomography to See, Reach, and Treat Hepatocellular Carcinoma during Drug-eluting Beads Transarterial Chemo-embolization

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[Cone-beam CT reconstruction based on circular scan trajectory and ring artifact reduction].

Jun Yang¹, Xin Zhen, Wen-ting Lu

¹School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China. 458yj@163.com

Nan Fang Yi Ke Da Xue Xue Bao = Journal of Southern Medical University

|December 26, 2009

Summary

Detector correction effectively reduces ring artifacts in cone-beam CT (CBCT) reconstruction using the FDK algorithm without impacting image resolution, leading to improved image quality.

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Area of Science:

Medical Imaging
Computed Tomography
Image Reconstruction

Context:

Cone-beam CT (CBCT) is crucial for medical imaging.
The FDK algorithm is widely used for CBCT reconstruction due to its efficiency.
Real-world CBCT data often suffers from artifacts like blurring, ring artifacts, and shading artifacts.

Purpose:

To evaluate the effectiveness of detector correction in mitigating artifacts in FDK algorithm-based CBCT reconstruction.
To compare image quality with and without detector correction using simulated real biological object data.

Summary:

The FDK algorithm, while efficient for CBCT, produces images with artifacts when using raw data.
Computer experiments simulating real biological objects were conducted to assess detector correction.
Results demonstrate that detector correction significantly reduces ring artifacts and shading artifacts.

Impact:

Detector correction improves the diagnostic quality of CBCT images reconstructed with the FDK algorithm.
This enhancement is achieved without compromising essential image resolution.
The findings support the integration of detector correction for more reliable CBCT imaging.