@inproceedings{4b481107cefb44eeb8f9eafa209fa009,
title = "Regularized inversion of noisy, incomplete MR spectroscopic imaging data with anatomical prior",
abstract = "This paper addresses the image reconstruction problem in MR spectroscopic imaging experiments where noisy, limited Fourier data are often collected due to temporal constraints. A parametric method is proposed which is capable of incorporating exact and uncertain boundary information. Experimental results show that the technique can generate metabolic images with much higher spatial resolution than the conventional Fourier method and existing constrained reconstruction methods.",
author = "Haldar, {Justin P.} and Mathews Jacob and Andreas Ebel and Xiaoping Zhu and Norbert Schuff and Diego Hernando and Sutton, {Bradley P.} and Liang, {Zhi Pei}",
year = "2006",
language = "English (US)",
isbn = "0780395778",
series = "2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings",
pages = "718--721",
booktitle = "2006 3rd IEEE International Symposium on Biomedical Imaging",
note = "2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro ; Conference date: 06-04-2006 Through 09-04-2006",
}