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Normal-resolution vs. super-resolution deep learning reconstruction for diagnosis of functionally significant

Nobuo Tomizawa1, Ruiheng Fan1, Shinichiro Fujimoto2

  • 1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Journal of Cardiovascular Computed Tomography
|February 19, 2026
PubMed
Summary

Super-resolution deep learning reconstruction (SR-DLR) enhances image quality and improves the diagnostic performance of CT-derived fractional flow reserve (CT-FFR) for identifying significant coronary stenosis. This advanced technique offers superior accuracy compared to normal-resolution deep learning reconstruction (NR-DLR).

Keywords:
CT angiographyCoronary arteryCoronary stenosisDeep learning reconstructionImage quality

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