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Magnetic resonance-based synthetic computed tomography images generated using generative adversarial networks for nasopharyngeal carcinoma radiotherapy treatment planning
- Source :
- Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology. 150
- Publication Year :
- 2019
-
Abstract
- Background and purpose To investigate the feasibility of synthesizing computed tomography (CT) images from magnetic resonance (MR) images using generative adversarial networks (GANs) for nasopharyngeal carcinoma (NPC) intensity-modulated radiotherapy (IMRT) planning. Materials and methods Conventional T1-weighted MR images and CT images were acquired from 173 NPC patients. The MR and CT images of 28 patients were randomly chosen as the independent tested set. The remaining images were used to build a conditional GAN (cGAN) and a cycle-consistency GAN (cycleGAN). A U-net was used as the generator in cGAN, whereas a residual-Unet was used as the generator in cycleGAN. The cGAN was trained using the deformable registered MR-CT image pairs, whereas the cycleGAN was trained using the unregistered MR and CT images. The generated synthetic CT (SCT) images from cGAN and cycleGAN were compared with the true CT images with respect to their Hounsfield Unit (HU) discrepancy and dosimetric accuracy for NPC IMRT plans. Results The mean absolute errors within the body were 69.67 ± 9.27 HU and 100.62 ± 7.39 HU for the cGAN and cycleGAN, respectively. The 2%/2-mm γ passing rates were (98.68 ± 0.94)% and (98.52 ± 1.13)% for the cGAN and cycleGAN, respectively. Meanwhile, the absolute dose discrepancies within the regions of interest were (0.49 ± 0.24)% and (0.62 ± 0.36)%, respectively. Conclusion Both cGAN and cycleGAN could swiftly generate accurate SCT volume images from MR images, with high dosimetric accuracy for NPC IMRT planning. cGAN was preferable if high-quality MR-CT image pairs were available.
- Subjects :
- Magnetic Resonance Spectroscopy
Computer science
medicine.medical_treatment
Computed tomography
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Hounsfield scale
Imrt planning
medicine
Image Processing, Computer-Assisted
Humans
Radiology, Nuclear Medicine and imaging
Nasopharyngeal Carcinoma
medicine.diagnostic_test
business.industry
Radiotherapy Planning, Computer-Assisted
Magnetic resonance imaging
Nasopharyngeal Neoplasms
Radiotherapy Dosage
Hematology
Radiotherapy treatment planning
medicine.disease
Magnetic Resonance Imaging
Radiation therapy
Oncology
Nasopharyngeal carcinoma
030220 oncology & carcinogenesis
Mr images
Nuclear medicine
business
Tomography, X-Ray Computed
Subjects
Details
- ISSN :
- 18790887
- Volume :
- 150
- Database :
- OpenAIRE
- Journal :
- Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
- Accession number :
- edsair.doi.dedup.....3ff066ddcac35eb6634777087784782e