Peer-Reviewed Publication
Acad Radiol2026;33(2):430-441.February 1, 2026Journal Article
Deep Learning Denoising Algorithm for Improved Assessment of Coronary Arteries in Transcatheter Aortic Valve Implantation CT Imaging.
Ludovica R M Lanzafame1, Sebastian Steinmetz2, Tommaso D'Angelo3, Silvio Mazziotti1, Ibrahim Yel4, Vitali Koch4, Leon D Gruenewald4, Simon S Martin4, Jan-Erik Scholtz4, Katrin Eichler4, Leona S Alizadeh4, Thomas J Vogl5, Marc A Brockmann2, Chulkyun Ahn6, Jong H Kim7, Ahmed E Othman2, Christian Booz4
1Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital Messina, 98124 Messina, Italy (L.R.M.L., T.D., S.M.).
2Department of Neuroradiology, University Medical Center Mainz, Johannes Gutenberg University, 55131 Mainz, Germany (S.S., M.A.B., A.E.O.).
3Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital Messina, 98124 Messina, Italy (L.R.M.L., T.D., S.M.). Electronic address: tommasodang@gmail.com.
4Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany (I.Y., V.K., L.D.G., S.S.M., J-E.S., K.E., L.S.A., C.B.); Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany (I.Y., V.K., L.D.G., S.S.M., J-E.S., K.E., L.S.A., C.B.).
5Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany (I.Y., V.K., L.D.G., S.S.M., J-E.S., K.E., L.S.A., C.B.).
6Research Institute, ClariPi, Seoul 03086, Republic of Korea (C.A., J.H.K.).
7Research Institute, ClariPi, Seoul 03086, Republic of Korea (C.A., J.H.K.); Department of Radiology, Seoul National University Hospital, 101 Daehakro, Jongnogu, Seoul 03080, Republic of Korea (J.H.K.); Department of Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 08826, Republic of Korea (J.H.K.).
Abstract
RATIONALE AND OBJECTIVES: To assess the impact of a deep learning-based noise reduction (DLD) technique on image quality and diagnostic accuracy for the evaluation of coronary arteries in transcatheter aortic valve implantation (TAVI) CT imaging.
MATERIALS AND METHODS: Two hundred patients with severe aortic stenosis who underwent CT scans for pre-TAVI planning between October 2022 and April 2024…
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