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Optimization of chest CT protocols based on pixel image matrix, kernels and iterative reconstruction levels - A

A-M Sandbukt Johnsen¹, J M Fenn², M K Henning¹

¹Department of Radiology and Nuclear Medicine, Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway; Faculty of Health Sciences, Department of Life Sciences and Health, Oslo Metropolitan University, Pilestredet 48, 0130 Oslo, Norway.

Radiography (London, England : 1995)

|May 25, 2023

Summary

Increasing iterative reconstruction (IR) levels and specific kernels significantly enhance chest CT image quality. Matrix size did not impact image quality, but optimal kernel and IR choices are crucial for diagnostic clarity.

Keywords:

Imaging thorax iterative reconstruction algorithms Phantoms Tomography X-ray computed

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Area of Science:

Radiology
Medical Imaging
Computed Tomography

Background:

Image reconstruction techniques are vital for optimizing diagnostic accuracy in chest CT.
Evaluating the impact of matrix size, reconstruction kernels, and iterative reconstruction (IR) levels is essential for improving image quality.

Purpose of the Study:

To investigate how high matrix image reconstruction, combined with various reconstruction kernels and IR levels, affects image quality in chest CT.
To determine the optimal parameters for enhanced diagnostic performance in chest CT imaging.

Main Methods:

Utilized anthropomorphic chest and Catphan® 600 phantoms scanned with a dual-source scanner.
Performed reconstructions using 768×768 and 1024×1024 matrices with combinations of three kernels and five IR levels.
Assessed image quality using Signal Difference to Noise Ratio (SdNR) and spatial resolution (lp/cm), with statistical analysis via linear regression and Cohen's kappa for reader agreement.

Main Results:

Matrix size did not significantly impact SdNR (p=0.595).
Reconstruction kernel (p=0.014) and IR level (p=0.001) significantly affected SdNR.
Highest spatial resolution (9 lp/cm) was achieved with specific kernel and IR combinations, with reader scores favoring certain kernels and higher IR levels.

Conclusions:

Matrix size does not influence chest CT image quality.
Reconstruction kernel and IR level significantly impact objective and visual image quality.
Increased IR levels show potential for improving diagnostic image quality in chest CT.