Coronary Stent Evaluation by CTA: Image Quality Comparison Between Super-Resolution Deep Learning Reconstruction and Other Reconstruction Algorithms
Yasunori Nagayama, Takafumi Emoto, Hidetaka Hayashi, Masafumi Kidoh, Seitaro Oda, Takeshi Nakaura, Daisuke Sakabe, Yoshinori Funama, Noriaki Tabata, Masanobu Ishii, Kenshi Yamanaga, Koichiro Fujisue, Seiji Takashio, Eiichiro Yamamoto, Kenichi Tsujita, Toshinori Hirai
Abstract
BACKGROUND. A super-resolution deep learning reconstruction (SR-DLR) algorithm may provide better image sharpness than earlier reconstruction algorithms and thereby improve coronary stent assessment on coronary CTA.
Topics & Concepts
MedicineStentIterative reconstructionImage qualityAlgorithmCoronary arteriesRadiologyReconstruction algorithmCoronary stentNuclear medicineLumen (anatomy)Confidence intervalArtificial intelligenceArterySurgeryImage (mathematics)RestenosisInternal medicineMathematicsComputer scienceCoronary Interventions and DiagnosticsCardiac Imaging and DiagnosticsAdvanced X-ray and CT Imaging