Using deep learning-based denoising and iterative reconstruction to reduce radiation exposure - How low can we go?

Eur J Radiol. 2024 Apr:173:111376. doi: 10.1016/j.ejrad.2024.111376. Epub 2024 Feb 16.

Authors

Philipp Schindler¹, Mirjam Gerwing²

Affiliations

¹ Clinic for Radiology, University and University Hospital of Münster, Münster, Germany.
² Clinic for Radiology, University and University Hospital of Münster, Münster, Germany. Electronic address: mirjam.gerwing@ukmuenster.de.

PMID: 38377893
DOI: 10.1016/j.ejrad.2024.111376

No abstract available

Keywords: Deep learning; Iterative reconstruction; low dose CT.

Publication types

Editorial

MeSH terms

Algorithms
Deep Learning*
Humans
Image Processing, Computer-Assisted
Radiation Dosage
Radiation Exposure* / prevention & control
Radiographic Image Interpretation, Computer-Assisted
Tomography, X-Ray Computed