Extension of finite-support extrapolation using the generalized series model for MR spectroscopic imaging.

Extension of finite-support extrapolation using the generalized series model for MR spectroscopic imaging.

In magnetic resonance (MR) imaging, limited data sampling in κ-space leads to the well-known Fourier truncation artifact, which includes ringing and blurring. This problem is particularly severe for MR spectroscopic imaging, where only 16-24 points are typically acquired along each spatial dimension...

詳細記述

書誌詳細
出版年:IEEE Transactions on medical imaging 20, 11 (2001).
第一著者: Tsao, J.
フォーマット: 論文
言語:English
主題:
MR spectroscopic imaging.
Anatomical structures.
Finite-support extrapolation.
Finite-support extrapolation method.
Generalized series model.
Magnetic resonance imaging.
Medical diagnostic imaging.
Nonbackground region.
Nonzero intensities.
Prior information incorporation.
Resolution gain.
Support region.