2023
DOI: 10.1002/mrm.29753
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Improving microstructural integrity, interstitial fluid, and blood microcirculation images from multi‐b‐value diffusion MRI using physics‐informed neural networks in cerebrovascular disease

Abstract: Purpose To obtain better microstructural integrity, interstitial fluid, and microvascular images from multi‐b‐value diffusion MRI data by using a physics‐informed neural network (PINN) fitting approach. Methods Test–retest whole‐brain inversion recovery diffusion‐weighted images with multiple b‐values (IVIM: intravoxel incoherent motion) were acquired on separate days for 16 patients with cerebrovascular disease on a 3.0T MRI system. The performance of the PINN three‐component IVIM (3C‐IVIM) model fitting appr… Show more

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Cited by 5 publications
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