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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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Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

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Accurate Image Reconstruction in Dual-Energy CT with Limited-Angular-Range Data Using a Two-Step Method.

Buxin Chen¹, Zheng Zhang¹, Dan Xia¹

¹Department of Radiology, The University of Chicago, Chicago, IL 60637, USA.

Bioengineering (Basel, Switzerland)

|December 23, 2022

Summary

This summary is machine-generated.

A new two-step method corrects artifacts in dual-energy CT (DECT) scans using limited-angular ranges (LARs). This approach improves image quality and accuracy for physical quantity estimation, enabling faster, lower-dose scans.

Keywords:

directional total variation dual-energy CT limited-angular range two-step method

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3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

Area of Science:

Medical Imaging
Computed Tomography
Image Reconstruction

Background:

Dual-energy CT (DECT) with limited-angular ranges (LARs) offers potential for reduced scan times and radiation doses.
Beam-hardening (BH) and LAR effects introduce artifacts in DECT images, compromising accuracy.
Accurate image reconstruction is crucial for reliable quantitative analysis in DECT.

Purpose of the Study:

To investigate a two-step method for correcting both BH and LAR artifacts in DECT with LAR data.
To achieve accurate image reconstruction and reliable estimation of physical quantities from DECT LAR data.
To evaluate the performance of the proposed method using numerical simulations with varying LARs and scan configurations.

Main Methods:

A two-step reconstruction method combining data-domain decomposition (DDD) and directional-total-variation (DTV) algorithms.
DDD algorithm corrects for non-linear BH effects in low- and high-kVp LAR data.
DTV algorithm compensates for LAR effects by reconstructing basis images from corrected LAR basis data.

Main Results:

The proposed two-step method effectively reduces BH and LAR artifacts in virtual monochromatic images (VMIs).
Improved accuracy in estimating physical quantities, such as iodine concentrations and effective atomic numbers.
Two-orthogonal-arc (TOA) LAR scans yield more accurate results than single-arc (SA) scans for comparable angular ranges.

Conclusions:

The combined DDD and DTV method provides accurate image reconstruction and quantitative analysis for DECT with LAR data.
The findings support the practical design of LAR scan configurations and reconstruction procedures for DECT applications.
This approach facilitates the development of faster and lower-dose DECT protocols without sacrificing image quality.