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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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Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

Shading correction assisted iterative cone-beam CT reconstruction.

Chunlin Yang^1,2, Pengwei Wu^1,2, Shutao Gong^1,2

¹Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, People's Republic of China.

Physics in Medicine and Biology

|October 28, 2017

Summary

This summary is machine-generated.

A new shading correction method improves low-dose cone beam CT (CBCT) reconstruction by compensating for artifacts. This technique enhances image accuracy and stability for clinical applications.

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A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible

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Published on: January 28, 2020

Area of Science:

Medical Imaging
Computational Imaging
Image Reconstruction

Background:

Standard iterative reconstruction algorithms struggle with cone beam CT (CBCT) due to severe scatter and beam hardening artifacts.
These artifacts degrade image quality, particularly in low-dose scenarios, impacting diagnostic accuracy.

Purpose of the Study:

To develop a stable and clinically acceptable 3D iterative reconstruction method for low-dose CBCT.
To address severe artifacts in CBCT by incorporating a shading correction scheme.

Main Methods:

A novel shading correction assisted iterative reconstruction method was proposed.
The total variation (TV) regularization term was modified to include a shading compensation image, generated via segmentation and low-pass filtering.
The objective function was minimized using a GPU-accelerated fast iterative shrinkage-thresholding algorithm.

Main Results:

The proposed method significantly reduced overall CT number error from ~200 HU to ~25 HU.
Spatial uniformity was improved by 20% compared to reconstruction without shading correction.
The algorithm demonstrated a more stable optimization path and clinically acceptable reconstructed images.

Conclusions:

The shading correction assisted iterative reconstruction method offers a stable and effective solution for low-dose CBCT.
This approach overcomes limitations of standard algorithms by compensating for physics-induced artifacts without prior information.
The method is practically attractive for clinical low-dose CBCT imaging.