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Titel:

Spectral Angiography Material Decomposition Using an Empirical Forward Model and a Dictionary-Based Regularization.

Dokumenttyp:
Journal Article
Autor(en):
Mechlem, Korbinian; Sellerer, Thorsten; Ehn, Sebastian; Münzel, Daniela; Braig, Eva; Herzen, Julia; Noël, Peter B; Pfeiffer, Franz
Abstract:
By resolving the energy of the incident X-ray photons, spectral X-ray imaging with photon counting detectors offers additional material-specific information compared to conventional X-ray imaging. This additional information can be used to improve clinical diagnosis for various applications. However, spectral imaging still faces several challenges. Amplified noise and a reduced signal-to-noise ratio on the decomposed basis material images remain a major problem, especially for low-dose applicati...     »
Zeitschriftentitel:
IEEE Trans Med Imaging
Jahr:
2018
Band / Volume:
37
Heft / Issue:
10
Seitenangaben Beitrag:
2298-2309
Volltext / DOI:
doi:10.1109/TMI.2018.2840841
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/29993572
Print-ISSN:
0278-0062
TUM Einrichtung:
Institut für Diagnostische und Interventionelle Radiologie
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