Detruncation of clinical CT scans using a discrete algebraic reconstruction technique prior Article Swipe
Achim Byl
,
Michael Knaup
,
M. Rafecas
,
Christoph Hoeschen
,
Marc Kachelrieß
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1117/12.2646885
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1117/12.2646885
Successful image reconstruction in computed tomography (CT) relies on the completeness of the projections. If the patient does not fit in the field of measurement, the projections are truncated causing cupping artifacts in the image and a diminished field of view (FOV). In order to restore the CT values and extend the FOV, the projections have to be completed, for example via an extrapolation. The discrete algebraic reconstruction technique (DART) has shown its efficacy in reconstructing discrete images from insufficient raw data. In this work, we use DART images as a prior for projection completion of clinical CT scans. We compare our method to the conventional adaptive detruncation (ADT) and evaluate the RMSE inside and outside the FOV along with the Dice score.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1117/12.2646885
- https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12304/123041M/Detruncation-of-clinical-CT-scans-using-a-discrete-algebraic-reconstruction/10.1117/12.2646885.pdf
- OA Status
- bronze
- Cited By
- 1
- References
- 15
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4306658698
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4306658698Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1117/12.2646885Digital Object Identifier
- Title
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Detruncation of clinical CT scans using a discrete algebraic reconstruction technique priorWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-10-18Full publication date if available
- Authors
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Achim Byl, Michael Knaup, M. Rafecas, Christoph Hoeschen, Marc KachelrießList of authors in order
- Landing page
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https://doi.org/10.1117/12.2646885Publisher landing page
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https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12304/123041M/Detruncation-of-clinical-CT-scans-using-a-discrete-algebraic-reconstruction/10.1117/12.2646885.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
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https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12304/123041M/Detruncation-of-clinical-CT-scans-using-a-discrete-algebraic-reconstruction/10.1117/12.2646885.pdfDirect OA link when available
- Concepts
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Iterative reconstruction, Algebraic Reconstruction Technique, Extrapolation, Artificial intelligence, Computer vision, Projection (relational algebra), Computer science, Field of view, Tomographic reconstruction, Algebraic number, Algorithm, Mathematics, Statistics, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2023: 1Per-year citation counts (last 5 years)
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15Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| publication_date | 2022-10-18 |
| publication_year | 2022 |
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