Automated development of the contrast–detail curve based on statistical low‐contrast detectability in CT images-Reference-Cited by-同舟云学术

Automated development of the contrast–detail curve based on statistical low‐contrast detectability in CT images

Published:2022-07-09 Issue:9 Volume:23 Page:
ISSN:1526-9914
Container-title:Journal of Applied Clinical Medical Physics
language:en
Short-container-title:J Applied Clin Med Phys

Author:

Anam Choirul¹,Naufal Ariij¹,Fujibuchi Toshioh²,Matsubara Kosuke³,Dougherty Geoff⁴

Affiliation:

1. Department of Physics Faculty of Sciences and Mathematics Diponegoro University Semarang Central Java Indonesia

2. Department of Health Sciences Faculty of Medical Sciences Kyushu University Fukuoka Japan

3. Department of Quantum Medical Technology Faculty of Health Sciences Institute of Medical Pharmaceutical and Health Sciences Kanazawa University Kanazawa Japan

4. Department of Applied Physics and Medical Imaging California State University Channel Islands Camarillo California USA

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.13719

Reference36 articles.

1. Applications of nonlocal means algorithm in low-dose X-ray CT image processing and reconstruction: A review

2. The Role of Imaging in Radiation Therapy Planning: Past, Present, and Future

3. Radiation Dose From Medical Imaging: A Primer for Emergency Physicians

4. Assessment of patient dose and noise level of clinical CT images: automated measurements

5. Strategies for CT Radiation Dose Optimization

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