Improved image quality with deep learning reconstruction – a study on a semi-anthropomorphic upper-abdomen phantom

Improved image quality with deep learning reconstruction – a study on a semi-anthropomorphic upper-abdomen phantom

Purpose: To assess image quality of a deep learning reconstruction (DLR) algorithm across dose levels using a semi-anthropomorphic upper-abdominal phantom, and compare with filtered back projection (FBP) and hybrid iterative reconstruction (IR). Material and methods: CT scans obtained at five dose l...

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Bibliographic Details
Main Authors: Tormund Njølstad, MD, Anselm Schulz, MD PhD, Kristin Jensen, PhD, Hilde K. Andersen, MSc, Anne Catrine T. Martinsen, PhD
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Research in Diagnostic and Interventional Imaging
Subjects:
Abdominal CT
Deep learning reconstruction
Image quality
Online Access:http://www.sciencedirect.com/science/article/pii/S2772652523000017

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