Iterative image reconstruction algorithms in coronary CT angiography improve the detection of lipid-core plaque – a comparison with histology

Objectives 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. Methods and materials CCTA and histological data were acquired from three ex vivo hearts. CCTA images w...

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Veröffentlicht in:	European radiology 2015-01, Vol.25 (1), p.15-23
Hauptverfasser:	Puchner, Stefan B., Ferencik, Maros, Maurovich-Horvat, Pal, Nakano, Masataka, Otsuka, Fumiyuki, Kauczor, Hans-Ulrich, Virmani, Renu, Hoffmann, Udo, Schlett, Christopher L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adult Aged Algorithms Atherosclerosis Breast Cardiovascular disease Coronary Angiography - methods Coronary Artery Disease - diagnosis Coronary vessels Coronary Vessels - pathology Diagnostic Radiology Electric noise Histology Hospitals Humans Imaging Internal Medicine Interventional Radiology Lipids Medical imaging Medicine Medicine & Public Health Middle Aged Neuroradiology Plaque, Atherosclerotic - diagnosis Radiographic Image Enhancement - methods Radiographic Image Interpretation, Computer-Assisted - methods Radiology Reproducibility of Results Tomography Tomography, X-Ray Computed - methods Ultrasound Vein & artery diseases
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Zusammenfassung:	Objectives 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. Methods and materials CCTA and histological data were acquired from three ex vivo hearts. CCTA images were reconstructed using filtered back projection (FBP), adaptive-statistical (ASIR) and model-based (MBIR) iterative algorithms. Vessel cross-sections were co-registered between FBP/ASIR/MBIR and histology. Plaque area
ISSN:	0938-7994 1432-1084
DOI:	10.1007/s00330-014-3404-6