@inproceedings{f64002bf816044db8394c37e3a51e94d,
title = "High-resolution cardiac MRI using partially separable functions and weighted spatial smoothness regularization",
abstract = "Imaging of cardiac morphology and functions in high spatiotemporal resolution using MRI is a challenging problem due to limited imaging speed and the inherent tradeoff between spatial resolution, temporal resolution, and signalto-noise ratio (SNR). The partially separable function (PSF) model has been shown to achieve high spatiotemporal resolution but can lead to noisy reconstructions. This paper proposes a method to improve the SNR and reduce artifacts in PSF-based reconstructions through the use of anatomical constraints. These anatomical constraints are obtained from a high-SNR image of composite (k, t)-space data (summed along the time axis) and used to regularize the PSF reconstruction. The method has been evaluated on experimental data of rat hearts to achieve 390 μm in-plane resolution and 15 ms temporal resolution.",
author = "Christodoulou, {Anthony G.} and Cornelius Brinegar and Haldar, {Justin P.} and Haosen Zhang and Wu, {Yi Jen L.} and Foley, {Lesley M.} and Hitchens, {T. Kevin} and Qing Ye and Chien Ho and Liang, {Zhi Pei}",
year = "2010",
doi = "10.1109/IEMBS.2010.5627889",
language = "English (US)",
isbn = "9781424441235",
series = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10",
pages = "871--874",
booktitle = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10",
note = "2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 ; Conference date: 31-08-2010 Through 04-09-2010",
}