A CNN-based denoising method trained with images acquired with electron density phantoms for thin-sliced coronary artery calcium scans

CONCLUSION: Our results demonstrated that the electron density phantoms can be used to generate training data for the proposed CNN-based denoising method to reduce quantum noise for CAC scans reconstructed with 1.5-mm slice thickness. Because anthropomorphic phantom is not a necessity, our method could make image denoising more practical in routine clinical practice.PMID:38346094 | DOI:10.1002/acm2.14287
Source: Journal of Applied Clinical Medical Physics - Category: Physics Authors: Source Type: research