Background Iterative reconstruction techniques for reducing radiation dose and improving image quality in CT have proved to work differently for different patient sizes, dose levels, and anatomical areas. Purpose This study aims to compare image quality in CT of the lungs between four high-end CT scanners using the recommended reconstruction techniques at different dose levels and patient sizes. Material and methods A lung phantom and an image quality phantom were scanned with four high-end scanners at fixed dose levels. Images were reconstructed with and without iterative reconstruction. Contrast-to-noise ratio, modulation transfer function, and peak frequency of the noise power spectrum were measured. Results IMR1 Sharp+ and VEO improv...
We evaluated the effects of hybrid and model-based iterative reconstruction (IR) algorithms from dif...
We evaluated the effects of hybrid and model-based iterative reconstruction (IR) algorithms from dif...
We evaluated the effects of hybrid and model-based iterative reconstruction (IR) algorithms from dif...
Background Iterative reconstruction techniques for reducing radiation dose and improving image qual...
Background: Iterative reconstruction techniques for reducing radiation dose and improving image qual...
Background: Iterative reconstruction techniques for reducing radiation dose and improving image qual...
Improved image quality in CT imaging using iterative reconstruction algorithms Image quality in CT i...
The purpose of this work is to evaluate the potential dose reduction in computed tomography (CT) exa...
AIM To compare the computed tomography (CT) dose and image quality with the filtered back project...
In chest computed tomography (CT), iterative reconstruction (IR) algorithms maintain diagnostic imag...
Objectives: To verify if the mAs and reconstruction techniques affect the visualisation of relevan...
Objectives: To compare image quality on computed tomographic (CT) images acquired with different lev...
We evaluated the effects of hybrid and model-based iterative reconstruction (IR) algorithms from dif...
We evaluated the effects of hybrid and model-based iterative reconstruction (IR) algorithms from dif...
PURPOSE: To evaluate the influence of iterative reconstruction (IR) levels on Computed Tomography (C...
We evaluated the effects of hybrid and model-based iterative reconstruction (IR) algorithms from dif...
We evaluated the effects of hybrid and model-based iterative reconstruction (IR) algorithms from dif...
We evaluated the effects of hybrid and model-based iterative reconstruction (IR) algorithms from dif...
Background Iterative reconstruction techniques for reducing radiation dose and improving image qual...
Background: Iterative reconstruction techniques for reducing radiation dose and improving image qual...
Background: Iterative reconstruction techniques for reducing radiation dose and improving image qual...
Improved image quality in CT imaging using iterative reconstruction algorithms Image quality in CT i...
The purpose of this work is to evaluate the potential dose reduction in computed tomography (CT) exa...
AIM To compare the computed tomography (CT) dose and image quality with the filtered back project...
In chest computed tomography (CT), iterative reconstruction (IR) algorithms maintain diagnostic imag...
Objectives: To verify if the mAs and reconstruction techniques affect the visualisation of relevan...
Objectives: To compare image quality on computed tomographic (CT) images acquired with different lev...
We evaluated the effects of hybrid and model-based iterative reconstruction (IR) algorithms from dif...
We evaluated the effects of hybrid and model-based iterative reconstruction (IR) algorithms from dif...
PURPOSE: To evaluate the influence of iterative reconstruction (IR) levels on Computed Tomography (C...
We evaluated the effects of hybrid and model-based iterative reconstruction (IR) algorithms from dif...
We evaluated the effects of hybrid and model-based iterative reconstruction (IR) algorithms from dif...
We evaluated the effects of hybrid and model-based iterative reconstruction (IR) algorithms from dif...