Authors: | Wynne, J. F.; Lei, Y.; Pan, S.; Wang, T.; Pasha, M.; Luca, K.; Roper, J.; Patel, P.; Patel, S. A.; Godette, K.; Jani, A. B.; Yang, X. |
Article Title: | Rapid unpaired CBCT-based synthetic CT for CBCT-guided adaptive radiotherapy |
Abstract: | In this work, we demonstrate a method for rapid synthesis of high-quality CT images from unpaired, low-quality CBCT images, permitting CBCT-based adaptive radiotherapy. We adapt contrastive unpaired translation (CUT) to be used with medical images and evaluate the results on an institutional pelvic CT dataset. We compare the method against cycleGAN using mean absolute error, structural similarity index, root mean squared error, and Frèchet Inception Distance and show that CUT significantly outperforms cycleGAN while requiring less time and fewer resources. The investigated method improves the feasibility of online adaptive radiotherapy over the present state-of-the-art. © 2023 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine. |
Keywords: | radiotherapy dosage; radiotherapy planning, computer-assisted; image processing, computer-assisted; image processing; cone beam computed tomography; cone-beam computed tomography; procedures; machine learning; adaptive radiotherapy; humans; human; deep learning; image translation; image synthesis; spiral cone-beam computed tomography |
Journal Title: | Journal of Applied Clinical Medical Physics |
Volume: | 24 |
Issue: | 10 |
ISSN: | 1526-9914 |
Publisher: | American College of Medical Physics |
Date Published: | 2023-10-01 |
Start Page: | e14064 |
Language: | English |
DOI: | 10.1002/acm2.14064 |
PUBMED: | 37345557 |
PROVIDER: | scopus |
PMCID: | PMC10562022 |
DOI/URL: | |
Notes: | The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PubMed record and PDF -- Source: Scopus |