Development, validation, and relevance of in vivo low‐contrast task transfer function to estimate detectability in clinical CT images-Reference-Cited by-同舟云学术

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Development, validation, and relevance of in vivo low‐contrast task transfer function to estimate detectability in clinical CT images

Published:2021-11-19 Issue:12 Volume:48 Page:7698-7711
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Smith Taylor Brunton¹²³,Abadi Ehsan¹²³,Solomon Justin¹²³,Samei Ehsan¹²³

Affiliation:

1. Carl E. Ravin Advanced Imaging Laboratories Department of Radiology Duke University Durham North Carolina USA

2. Medical Physics Graduate Program Duke University Durham North Carolina USA

3. Duke University Medical Center Duke University Durham North Carolina USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15309

Reference20 articles.

1. Automated Technique to Measure Noise in Clinical CT Examinations

2. Patient-specific quantification of image quality: An automated technique for measuring the distribution of organ Hounsfield units in clinical chest CT images

3. Patient-specific quantification of image quality: An automated method for measuring spatial resolution in clinical CT images

4. Estimating detectability index in vivo: development and validation of an automated methodology

5. In vivo noise texture estimation: development and validation of an automated methodology

Cited by 1 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. Visualization of the distortion induced by nonlinear noise reduction in computed tomography;Journal of Medical Imaging;2023-06-15

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