Head and neck synthetic CT generated from ultra‐low‐dose cone‐beam CT following Image Gently Protocol using deep neural network-Reference-Cited by-同舟云学术

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Head and neck synthetic CT generated from ultra‐low‐dose cone‐beam CT following Image Gently Protocol using deep neural network

Published:2022-03-14 Issue:5 Volume:49 Page:3263-3277
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Yuan Nimu¹,Rao Shyam²,Chen Quan³,Sensoy Levent²,Qi Jinyi¹,Rong Yi²⁴

Affiliation:

1. Department of Biomedical Engineering University of California Davis California USA

2. Department of Radiation Oncology University of California Davis Medical Center Sacramento California USA

3. Department of Radiation Oncology University of Kentucky Lexington Kentucky USA

4. Department of Radiation Oncology Mayo Clinic Arizona Phoenix Arizona USA

Funder

National Cancer Institute

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15585

Reference50 articles.

1. Innovations in image-guided radiotherapy

2. A survey of image-guided radiation therapy use in the United States

3. Risk of cancer from diagnostic X-rays: estimates for the UK and 14 other countries

4. Estimated Risks of Radiation-Induced Fatal Cancer from Pediatric CT

5. Minimizing Radiation Dose for Pediatric Body Applications of Single-Detector Helical CT

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2. A systematic literature review: deep learning techniques for synthetic medical image generation and their applications in radiotherapy;Frontiers in Radiology;2024-03-27

3. Evaluating AI-generated CBCT-based synthetic CT images for target delineation in palliative treatments of pelvic bone metastasis at conventional C-arm linacs;Radiotherapy and Oncology;2024-03

4. Pseudo-medical image-guided technology based on 'CBCT-only' mode in esophageal cancer radiotherapy;Computer Methods and Programs in Biomedicine;2024-03

5. Feasibility of Monte Carlo dropout‐based uncertainty maps to evaluate deep learning‐based synthetic CTs for adaptive proton therapy;Medical Physics;2023-11-13

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