Image reconstruction using projection onto convex sets, model constraints, and linear prediction theory for the removal of phase, motion, and Gibbs artifacts in magnetic resonance and ultrasound imaging

E. M. Haacke; Z. P. Liang; F. Boada

doi:10.1117/12.55624

Image reconstruction using projection onto convex sets, model constraints, and linear prediction theory for the removal of phase, motion, and Gibbs artifacts in magnetic resonance and ultrasound imaging

E. M. Haacke
, Z. P. Liang
, F. Boada

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	555-566
Number of pages	12
Journal	Optical Engineering
Volume	29
Issue number	5
DOIs	https://doi.org/10.1117/12.55624
State	Published - May 1990
Externally published	Yes

ASJC Scopus Subject Areas

Atomic and Molecular Physics, and Optics
General Engineering

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Image reconstruction using projection onto convex sets, model constraints, and linear prediction theory for the removal of phase, motion, and Gibbs artifacts in magnetic resonance and ultrasound imaging. / Haacke, E. M.; Liang, Z. P.; Boada, F.
In: Optical Engineering, Vol. 29, No. 5, 05.1990, p. 555-566.

Research output: Contribution to journal › Article › peer-review

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Image reconstruction using projection onto convex sets, model constraints, and linear prediction theory for the removal of phase, motion, and Gibbs artifacts in magnetic resonance and ultrasound imaging

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