Iterative image reconstruction algorithms in coronary CT angiography improve the detection of lipid-core plaque - a comparison with histology
To evaluate whether iterative reconstruction algorithms improve the diagnostic accuracy of coronary CT angiography (CCTA) for detection of lipid-core plaque (LCP) compared to histology.
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| Main Authors: | , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
2015
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| In: |
European radiology
Year: 2014, Volume: 25, Issue: 1, Pages: 15-23 |
| ISSN: | 1432-1084 |
| DOI: | 10.1007/s00330-014-3404-6 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/s00330-014-3404-6 Verlag, lizenzpflichtig, Volltext: https://link.springer.com/article/10.1007%2Fs00330-014-3404-6 |
| Author Notes: | Stefan B. Puchner · Maros Ferencik · Pal Maurovich-Horvat · Masataka Nakano · Fumiyuki Otsuka · Hans-Ulrich Kauczor · Renu Virmani · Udo Hoffmann · Christopher L. Schlett |
| Summary: | To evaluate whether iterative reconstruction algorithms improve the diagnostic accuracy of coronary CT angiography (CCTA) for detection of lipid-core plaque (LCP) compared to histology. |
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| Item Description: | Published online: 3 September 2014 Gesehen am 16.07.2020 |
| Physical Description: | Online Resource |
| ISSN: | 1432-1084 |
| DOI: | 10.1007/s00330-014-3404-6 |