Traditionally, this is tackled as a reconstruction problem by searching for a single "best" image out of this solution set according to some ...

Undersampling the k-space in MR imaging reduces scan time by speeding up acquisition, allowing a higher throughput as well as higher comfort for patients.

TEZCAN et al.: SAMPLING POSSIBLE RECONSTRUCTIONS OF UNDERSAMPLED ACQUISITIONS IN MR IMAGING. 1887 the target distribution of the MCMC to obtain the latent.

Feb 9, 2022 · Undersampling the k-space during MR acquisitions saves time, however results in an ill-posed inversion problem,.

This paper introduces a low dimensional latent space and model the posterior distribution of the latent vectors given the acquisition data in k-space, ...

This approach allows us to obtain multiple possible images and capture the uncertainty in the inversion process under the used prior. We evaluate our method on ...

Undersampling the k-space during MR acquisitions saves time, however results in an ill-posed inversion problem, leading to an infinite set of images as ...

Sampling Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior ; Journal: IEEE Transactions on Medical Imaging, 2022, № 7 ...

Bibliographic details on Sampling possible reconstructions of undersampled acquisitions in MR imaging.

The main idea is to sampling multiple reconstructions instead of only reconstructing a single image for undersampled MR imaging. This way one can find multiple ...