A k-space-to-image reconstruction network for MRI using recurrent neural network.
Sign Up to like & getrecommendations! Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14566
Abstract: PURPOSE Reconstructing the images from undersampled k-space data is an ill-posed inverse problem. As a solution to this problem, we propose a method to reconstruct MR images directly from k-space data using a recurrent neural… read more here.
Keywords: space; network; space data; proposed method ... See more keywords
QoS enhancement in space data communication: a network coding approach
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Electronics"
DOI: 10.1080/00207217.2016.1178347
Abstract: ABSTRACT With the rapid increase of space applications, the amount of information to be transmitted between spacecrafts and ground stations increases exponentially and space–sky–ground Transport Control Protocol (TCP) network is highly demanded. However, the traditional… read more here.
Keywords: space; network; communication; space data ... See more keywords
MR-MOTUS: model-based non-rigid motion estimation for MR-guided radiotherapy using a reference image and minimal k-space data.
Sign Up to like & getrecommendations! Published in 2019 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/ab554a
Abstract: Time-resolved motion estimation from MRI data has received an increasing amount of interest due to the advent of the MR-Linac. The combination of an MRI scanner and a linear accelerator enables radiation plan adaptation based… read more here.
Keywords: motion; space; space data; model ... See more keywords