Comparative assessment of noise properties for two deep learning CT image reconstruction techniques and filtered back projection-Reference-Cited by-同舟云学术

Comparative assessment of noise properties for two deep learning CT image reconstruction techniques and filtered back projection

Published:2022-09-12 Issue:10 Volume:49 Page:6359-6367
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Kawashima Hiroki¹,Ichikawa Katsuhiro¹,Takata Tadanori²,Seto Issei³

Affiliation:

1. Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences Kanazawa University Kodatsuno Kanazawa Japan

2. Radiology Division Kanazawa University Hospital Takara‐Machi Kanazawa Japan

3. Department of Radiological Technology Mitsubishi Kyoto Hospital Nishikyo‐Ku Kyoto Japan

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15918

Reference22 articles.

1. State of the Art in Abdominal CT: The Limits of Iterative Reconstruction Algorithms

2. Methods for Clinical Evaluation of Noise Reduction Techniques in Abdominopelvic CT

3. State of the Art: Iterative CT Reconstruction Techniques

4. Assessment of the dose reduction potential of a model-based iterative reconstruction algorithm using a task-based performance metrology

5. HsiehJ LiuE NettB Tang J Thibeault JB Sahney S.A new era of image reconstruction:TrueFidelityTM.Technical White Paper on Deep Learning Image Reconstruction.2019; GE Healthcare white paper.

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