Development of realistic multi-contrast textured XCAT (MT-XCAT) phantoms using a dual-discriminator conditional-generative adversarial network (D-CGAN)
Abstract
Develop a machine learning-based method to generate multi-contrast anatomical textures in the 4D extended cardiac-torso (XCAT) phantom for more realistic imaging simulations. As a pilot study, we synthesize CT and CBCT textures in the chest region.
- Publication:
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Physics in Medicine and Biology
- Pub Date:
- March 2020
- DOI:
- 10.1088/1361-6560/ab7309
- Bibcode:
- 2020PMB....65f5009C
- Keywords:
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- XCAT phantom;
- generative adversarial network;
- multi-contrast;
- virtual trial