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European Radiology

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14.06.2016 | Computed Tomography

Low contrast detectability and spatial resolution with model-based Iterative reconstructions of MDCT images: a phantom and cadaveric study

verfasst von: Domitille Millon, Alain Vlassenbroek, Aline G. Van Maanen, Samantha E. Cambier, Emmanuel E. Coche

Erschienen in: European Radiology | Ausgabe 3/2017

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Abstract

Objectives

To compare image quality [low contrast (LC) detectability, noise, contrast-to-noise (CNR) and spatial resolution (SR)] of MDCT images reconstructed with an iterative reconstruction (IR) algorithm and a filtered back projection (FBP) algorithm.

Methods

The experimental study was performed on a 256-slice MDCT. LC detectability, noise, CNR and SR were measured on a Catphan phantom scanned with decreasing doses (48.8 down to 0.7 mGy) and parameters typical of a chest CT examination. Images were reconstructed with FBP and a model-based IR algorithm. Additionally, human chest cadavers were scanned and reconstructed using the same technical parameters. Images were analyzed to illustrate the phantom results.

Results

LC detectability and noise were statistically significantly different between the techniques, supporting model-based IR algorithm (p < 0.0001). At low doses, the noise in FBP images only enabled SR measurements of high contrast objects. The superior CNR of model-based IR algorithm enabled lower dose measurements, which showed that SR was dose and contrast dependent. Cadaver images reconstructed with model-based IR illustrated that visibility and delineation of anatomical structure edges could be deteriorated at low doses.

Conclusion

Model-based IR improved LC detectability and enabled dose reduction. At low dose, SR became dose and contrast dependent.

Key Points

• Model- based Iterative Reconstruction improves detectability of low contrast object.

• With model- based Iterative Reconstruction, spatial resolution is dose and contrast dependent.

• Model-based Iterative Reconstruction algorithms enable improved IQ combined with dose-reduction possibilities.

• Improvement of SR and LC detectability on the same IMR data set would reduce reconstructions.

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Titel: Low contrast detectability and spatial resolution with model-based Iterative reconstructions of MDCT images: a phantom and cadaveric study
verfasst von: Domitille Millon
Alain Vlassenbroek
Aline G. Van Maanen
Samantha E. Cambier
Emmanuel E. Coche
Publikationsdatum: 14.06.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: European Radiology / Ausgabe 3/2017
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-016-4444-x

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Low contrast detectability and spatial resolution with model-based Iterative reconstructions of MDCT images: a phantom and cadaveric study

Abstract

Objectives

Methods

Results

Conclusion

Key Points

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Abstract

Objectives

Methods

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Conclusion

Key Points

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