Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors

We introduce a novel algorithm to address the challenges in magnetic resonance (MR) spectroscopic imaging. In contrast to classical sequential data processing schemes, the proposed method combines the reconstruction and postprocessing steps into a unified algorithm. This integrated approach enables...

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Veröffentlicht in:	IEEE transactions on medical imaging Jg. 29; H. 6; S. 1297 - 1309
Hauptverfasser:	Eslami, Ramin, Jacob, Mathews
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.06.2010 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms B_{0} inhomogeneity compensation Biopolymers - metabolism Brain - anatomy & histology Brain - metabolism Data processing ell _{1} -minimization fat leakage field map High-resolution imaging Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image reconstruction Image resolution Integrated approach Magnetic fields Magnetic resonance Magnetic resonance imaging Magnetic Resonance Imaging - methods magnetic resonance spectroscopic imaging (MRSI) Magnetic Resonance Spectroscopy - methods Pattern Recognition, Automated - methods Polynomials Reproducibility of Results Robustness Sensitivity and Specificity sparsity Spectroscopy Studies Subtraction Technique total variation
ISSN:	0278-0062, 1558-254X, 1558-254X
Online-Zugang:	Volltext
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