Deep Learning Denoising Algorithm for Improved Assessment of Coronary Arteries in Transcatheter Aortic Valve Implantation CT Imaging

The DLD substantially improves image quality without affecting diagnostic accuracy for the evaluation of coronary arteries in patients undergoing pre-TAVI CT scans.

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Publication Details

Journal
Academic Radiology
Published
2025-11-08
DOI
https://doi.org/10.1016/j.acra.2025.10.030
Primary Topic
Cardiac Valve Diseases and Treatments
Type
article
Field-Weighted Citation Impact
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article

Deep Learning Denoising Algorithm for Improved Assessment of Coronary Arteries in Transcatheter Aortic Valve Implantation CT Imaging

Jan‐Erik Scholtz, Christian Booz, Tommaso D’Angelo, Vitali Koch et al.
Academic Radiology
Cardiac Valve Diseases and Treatments
article

Deep Learning Denoising Algorithm for Improved Assessment of Coronary Arteries in Transcatheter Aortic Valve Implantation CT Imaging

Jan‐Erik Scholtz, Christian Booz, Tommaso D’Angelo, Vitali Koch, Mohamed I. A. Othman, Silvio Mazziotti, Leon David Gruenewald, Chulkyun Ahn, İbrahim Yel, Ludovica R. M. Lanzafame, Leona S. Alizadeh, Sebastian Steinmetz, Katrin Eichler, Simon S. Martin, Jong H. Kim, Thomas J. Vogl, Marc Alexander Brockmann
article en

Abstract

The DLD substantially improves image quality without affecting diagnostic accuracy for the evaluation of coronary arteries in patients undergoing pre-TAVI CT scans.

Academic RadiologyVol. 33(2)
University of Messina (IT), Goethe University Frankfurt (DE), Johannes Gutenberg University Mainz (DE), Seoul National University Hospital (KR), University Medical Center of the Johannes Gutenberg University Mainz (DE), University Hospital Frankfurt (DE), The Korea Institute of Public Administration (KR)
Openalex Percentile: Top 49%
Cardiac Valve Diseases and Treatments
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