0597 ISMRM Abstract

Synthetic MRI with MR-STAT: results from a clinical trial

0597 · Advances in Quantitative Neuroimaging · Thursday, 12 May, 9:15 AM–11:15 AM · S11 (Breakout B)

Accepted

Jordi P Kleinloog ^1,2, Stefano Mandija^1,2, Federico d'Agata³, Oscar van der Heide^1,2, Beyza Koktas¹, Sarah M Jacobs⁴, Cornelis A van den Berg^1,2, Jeroen Hendrikse², Anja van der Kolk², Alessandro A Sbrizzi^1,2

¹Computational Imaging Group for MR diagnostic and therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands

²Department of Radiotherapy, University Medical Centre Utrecht, Utrecht, Netherlands

³Department of Neurosciences, University of Turin, Turin, Italy

⁴Department of Radiology and Nuclear Medicine, University Medical Centre Utrecht, Utrecht, Netherlands

Presenting Author: Jordi P Kleinloog

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References

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9. Granberg T, Uppman M, Hashim F, Cananau C, Nordin LE, Shams S, et al. Clinical feasibility of synthetic MRI in multiple sclerosis: A diagnostic and volumetric validation study. AJNR Am J Neuroradiol. 2016; 37: 1023-9. 1 0. Hagiwara A, Otsuka Y, Hori M, Tachibana Y, Yokoyama K, Fujita S, et al. Improving the quality of synthetic FLAIR images with deep learning using a conditional generative adversarial network for pixel-by-pixel image translation. AJNR Am J Neuroradiol.

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Cite this abstract

http://echo.ismrm.org/p/ISMRM2022/0597