Deep learning for x‐ray scatter correction in dedicated breast CT-Reference-Cited by-同舟云学术

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Deep learning for x‐ray scatter correction in dedicated breast CT

Published:2023-01-07 Issue:4 Volume:50 Page:2022-2036
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Pautasso Juan J.¹,Caballo Marco¹,Mikerov Mikhail¹,Boone John M.²³,Michielsen Koen¹,Sechopoulos Ioannis¹⁴⁵

Affiliation:

1. Department of Medical Imaging Radboud University Medical Center Nijmegen The Netherlands

2. Department of Radiology University of California Davis Sacramento California USA

3. Department of Biomedical Engineering University of California Davis Sacramento California USA

4. Dutch Expert Centre for Screening (LRCB) Nijmegen The Netherlands

5. Technical Medical Centre University of Twente Enschede The Netherlands

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.16185

Reference57 articles.

1. Overview of X-ray Scatter in Cone-beam Computed Tomography and Its Correction Methods

2. A general framework and review of scatter correction methods in x-ray cone-beam computerized tomography. Part 1: Scatter compensation approaches

3. A general framework and review of scatter correction methods in cone beam CT. Part 2: Scatter estimation approaches

4. Real-time scatter estimation for medical CT using the deep scatter estimation: Method and robustness analysis with respect to different anatomies, dose levels, tube voltages, and data truncation

5. A static multi-slit collimator system for scatter reduction in cone-beam CT

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1. A deep-learning-based scatter correction with water equivalent path length map for digital radiography;Radiological Physics and Technology;2024-05-02

2. Technical note: Characterization, validation, and spectral optimization of a dedicated breast CT system for contrast‐enhanced imaging;Medical Physics;2024-04-10

3. Feasibility of data-driven scatter correction method in a triple-source CT;Medical Imaging 2024: Physics of Medical Imaging;2024-04-01

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5. A deep learning approach to estimate x‐ray scatter in digital breast tomosynthesis: From phantom models to clinical applications;Medical Physics;2023-07-02

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