@inproceedings{7ce4feaf80ef42dda9afd02c295a273a,
title = "K-T ISD: Compressed sensing with iterative support detection for dynamic MRI",
abstract = "In this paper, we propose a new k-t Iterative Support Detection (k-t ISD) method to improve the CS reconstruction for dynamic cardiac MRI by incorporating additional information on the support of the dynamic image in x-f space. The proposed method uses an iterative procedure for alternating image reconstruction and support detection in x-f space. Experimental results demonstrate that the proposed k-t ISD method improves the reconstruction quality of dynamic cardiac MRI over the basic CS method in which support information is not exploited.",
keywords = "Compressed sensing, dynamic MRI, k-t Iterative Support Detection (k-t ISD), partially known support, truncated minimization",
author = "Dong Liang and Dibella, \{Edward V.R.\} and Chen, \{Rong Rong\} and Leslie Ying",
year = "2011",
doi = "10.1109/ISBI.2011.5872631",
language = "English",
isbn = "9781424441280",
series = "Proceedings - International Symposium on Biomedical Imaging",
pages = "1264--1267",
booktitle = "2011 8th IEEE International Symposium on Biomedical Imaging",
note = "2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 ; Conference date: 30-03-2011 Through 02-04-2011",
}