Evaluation of deep‐learning image reconstruction for chest CT examinations at two different dose levels-Reference-Cited by-同舟云学术

Evaluation of deep‐learning image reconstruction for chest CT examinations at two different dose levels

Published:2022-12-30 Issue:3 Volume:24 Page:
ISSN:1526-9914
Container-title:Journal of Applied Clinical Medical Physics
language:en
Short-container-title:J Applied Clin Med Phys

Author:

Svalkvist Angelica¹²,Fagman Erika³⁴,Vikgren Jenny³⁴,Ku Sara³,Diniz Micael Oliveira³⁴,Norrlund Rauni Rossi³⁴,Johnsson Åse A.³⁴

Affiliation:

1. Department of Medical Physics and Biomedical Engineering Sahlgrenska University Hospital Gothenburg Sweden

2. Department of Medical Radiation Sciences Institute of Clinical Sciences The Sahlgrenska Academy at University of Gothenburg Gothenburg Sweden

3. Department of Radiology Sahlgrenska University Hospital Gothenburg Sweden

4. Department of Radiology Institute of Clinical Sciences Sahlgrenska Academy University of Gothenburg Gothenburg Sweden

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.13871

Reference38 articles.

1. Recent and Upcoming Technological Developments in Computed Tomography

2. Use of Diagnostic Imaging Studies and Associated Radiation Exposure for Patients Enrolled in Large Integrated Health Care Systems, 1996-2010

3. Abstract

4. Patient Exposure from Radiologic and Nuclear Medicine Procedures in the United States: Procedure Volume and Effective Dose for the Period 2006–2016

5. National Council on Radiation Protection and Measurements.Medical radiation exposure of patients in the United States NCRP report 184.Bethesda Maryland: National Council on Radiation Protection and Measurements 2019.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evidence and unresolved questions in pulmonary hypertension: Insights from the 5th French Pulmonary Hypertension Network Meeting;Respiratory Medicine and Research;2024-11

2. Deep Learning-Based Reconstruction Algorithm With Lung Enhancement Filter for Chest CT: Effect on Image Quality and Ground Glass Nodule Sharpness;Korean Journal of Radiology;2024

3. Value of deep learning reconstruction of chest low-dose CT for image quality improvement and lung parenchyma assessment on lung window;European Radiology;2023-08-15

4. Computed Tomography 2.0;Investigative Radiology;2023-06-28