Optimization of the alpha image reconstruction – an iterative CT-image reconstruction with well-defined image quality metrics

Lebedev, Sergej; Sawall, Stefan; Knaup, Michael; Kachelrieß, Marc

doi:10.1016/j.zemedi.2017.04.004

Cited by 1 publication

(2 citation statements)

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“…The basis images can either result from a single or a DECT scan as well as from a monoenergetic reconstruction from dual energy data. It is possible to reconstruct the basis images using varying reconstruction methods, for instance an analytical reconstruction with varying kernels or an iterative reconstruction, resulting in images with desired competing properties . For reconstruction, we use the weighted filtered backprojection (wFBP) that is available at our scanner (Somatom Definition Flash, Siemens Healthineers, Forchheim, Germany).…”

Section: Methodsmentioning

confidence: 99%

“…It is possible to reconstruct the basis images using varying reconstruction methods, for instance an analytical reconstruction with varying kernels or an iterative reconstruction, resulting in images with desired competing properties. 1,13,14 For reconstruction, we use the weighted filtered backprojection (wFBP) 15 that is available at our scanner (Somatom Definition Flash, Siemens Healthineers, Forchheim, Germany). The basis images are reconstructed with different reconstruction kernels leading to various resolution levels.…”

Section: C1 Context-sensitive Spatial Resolution (Csr)mentioning

confidence: 99%

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Towards context‐sensitive CT imaging — organ‐specific image formation for single (SECT) and dual energy computed tomography (DECT)

et al. 2018

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This work provides a proof of concept of CS imaging. Since radiologists are not aware of the presented method and the tool is not yet implemented in everyday clinical practice, a comprehensive clinical evaluation in a large cohort might be topic of future research. Nonetheless, the presented method has potential to facilitate workflow in clinical routine and could potentially improve diagnostic accuracy by improving sensitivity for incidental findings. It is a potential step toward the presentation of evermore increasingly complex information in CT and toward improving the radiologists workflow significantly since dealing with multiple CT reconstructions may no longer be necessary. The method can be readily generalized to multienergy data and also to other modalities.

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Section: Methodsmentioning

confidence: 99%