Spine Computed Tomography to Magnetic Resonance Image Synthesis Using Generative Adversarial Networks : A Preliminary Study.

Conclusion: This was the first study to apply GANs to synthesize spine MR images from CT images. Despite the small dataset of 280 pairs, the synthetic MR images were relatively well implemented. Synthesis of medical images using GANs is a new paradigm of artificial intelligence application in medical imaging. We expect that synthesis of MR images from spine CT images using GANs will improve the diagnostic usefulness of CT. To better inform the clinical applications of this technique, further studies are needed involving a large dataset, a variety of pathologies, and other MR sequence of the lumbar spine. PMID: 31931556 [PubMed - as supplied by publisher]

https://www.ncbi.nlm.nih.gov/pubmed/31931556?dopt=Abstract

Source: Journal of Korean Neurosurgical Society - January 15, 2020 Category: Neurosurgery Tags: J Korean Neurosurg Soc Source Type: research