@inproceedings{c4199998e489498a88647076c91051b4,
title = "Denoising of MR spectroscopic imaging data with spatial-spectral regularization",
abstract = "Low signal-to-noise ratio has been a significant limitation for clinical applications of magnetic resonance spectroscopic imaging (MRSI). This paper investigates a new scheme for denoising MRSI data, incorporating both an anatomically-adapted spatial-smoothness constraint and an autoregressive spectral constraint within the penalized maximum-likelihood framework. Both theoretical analysis and simulation results are provided to characterize the denoising performance of this approach.",
author = "Nguyen, {Hien M.} and Haldar, {Justin P.} and Do, {Minh N.} and Liang, {Zhi Pei}",
year = "2010",
doi = "10.1109/ISBI.2010.5490073",
language = "English (US)",
isbn = "9781424441266",
series = "2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings",
pages = "720--723",
booktitle = "2010 7th IEEE International Symposium on Biomedical Imaging",
note = "7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 ; Conference date: 14-04-2010 Through 17-04-2010",
}