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...

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Опубликовано в::	IEEE Transactions on medical imaging 20, 11 (2001).
Главный автор:	Tsao, J.
Формат:	Статья
Язык:	English
Предметы:	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.