@inproceedings{c32576e3789d4f93926a5a6d3f6bbbc0,
title = "Further development of image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints",
abstract = "Joint use of partial separability (PS) and spatial-spectral sparsity constraints has previously been demonstrated useful for image reconstruction from undersampled data. This paper extends our early work in this area by proposing a new method for jointly enforcing the PS and spatial total variation (TV) constraints for dynamic MR image reconstruction. An algorithm is also described to solve the underlying optimization problem efficiently. The proposed method has been validated using simulated cardiac imaging data, with the expected capability to reduce image artifacts and reconstruction noise.",
keywords = "Dynamic MRI, Half-quadratic Regularization, Low-rank Matrices, Partial Separability, Sparsity, Total Variation",
author = "Bo Zhao and Haldar, {Justin P.} and Christodoulou, {Anthony G.} and Zhi-Pei Liang",
year = "2011",
doi = "10.1109/ISBI.2011.5872707",
language = "English (US)",
isbn = "9781424441280",
series = "Proceedings - International Symposium on Biomedical Imaging",
pages = "1593--1596",
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",
}