@inproceedings{84c845f45f404fc4b3799357e106d4ba,
title = "Reconstruction of highly under-sampled dynamic MRI using sparse representation of 1D temporal snippets",
abstract = "This paper introduces a new empirical model for dynamic MRI and shows its application to reconstruction of highly under-sampled dynamic MRI. The model proposes that short 1D signals, so-called snippets, along the image's temporal dimension are sparse under non-linear transformation using a compact dictionary trained on the data itself. We employ this model to the problem of reconstructing dynamic abdominal MRI and validate its efficacy on a dynamic computational phantom and on an in vivo dynamic MRI sequence. We show how the approach extends and outperforms a state-of-the-art reconstruction algorithm.",
keywords = "Abdominal MRI, Compressed Sensing, Dictionary Learning, Dynamic MRI, Sparse Coding",
author = "Esben Plenge and Cooper, {Mitchell A.} and Prince, {Martin R.} and Yi Wang and Pascal Spincemaille and Michael Elad",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 ; Conference date: 16-04-2015 Through 19-04-2015",
year = "2015",
month = jul,
day = "21",
doi = "10.1109/ISBI.2015.7164098",
language = "الإنجليزيّة",
series = "Proceedings - International Symposium on Biomedical Imaging",
pages = "1240--1243",
booktitle = "2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015",
}