Performance of a deep learning‐based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness-Reference-Cited by-同舟云学术

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Performance of a deep learning‐based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness

Published:2022-01-19 Issue:2 Volume:49 Page:836-853
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Zeng Rongping¹,Lin Claire Yilin²,Li Qin³,Jiang Lu¹,Skopec Marlene⁴,Fessler Jeffrey A.⁵,Myers Kyle J.¹

Affiliation:

1. Center for Devices and Radiological Health US Food and Drug Administration (FDA) Silver Spring Maryland USA

2. KLA Corporation Milpitas California USA

3. AstraZeneca Waltham Massachusetts USA

4. National Institutes of Health Bethesda Maryland USA

5. Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor Michigan USA

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15430

Reference30 articles.

1. Automatic exposure control in computed tomography – an evaluation of systems from different manufacturers

2. The z‐sbDBA, a new concept for a dynamic sheet‐based fluence field modulator in x‐ray CT

3. Statistical image reconstruction for polyenergetic X-ray computed tomography

4. Evaluation of dose reduction and image quality in chest CT using adaptive statistical iterative reconstruction with the same group of patients

5. Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

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1. Utility of block-matching and 3D filter for reproducibility of lung density and denoising in low-dose chest CT: A pilot study;Physica Medica;2024-08

2. MDUNet: deep-prior unrolling network with multi-parameter data integration for low-dose computed tomography reconstruction;Machine Vision and Applications;2024-07

3. DDT-Net: Dose-Agnostic Dual-Task Transfer Network for Simultaneous Low-Dose CT Denoising and Simulation;IEEE Journal of Biomedical and Health Informatics;2024-06

4. Inter-vendor harmonization of CT reconstruction kernels using unpaired image translation;Medical Imaging 2024: Image Processing;2024-04-02

5. Evaluation of data uncertainty for deep-learning-based CT noise reduction using ensemble patient data and a virtual imaging trial framework;Medical Imaging 2024: Physics of Medical Imaging;2024-04-01

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