Non-contrast-enhanced 4D MRA using compressed sensing reconstruction
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United States of America Patent
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Nov 4, 2014
Grant Date -
May 16, 2013
app pub date -
Oct 28, 2011
filing date -
Nov 10, 2010
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Abstract
A reconstructed image is rendered of a patient by a processor from a set of undersampled MRI data by first subtracting two repetitions of the acquired data in k-space to create a third dataset. The processor reconstructs the image by minimizing an objective function under a constraint related to the third dataset, wherein the objective function includes applying a Karhunen-Loeve Transform (KLT) to a temporal dimension of data. The objective function under the constraint is expressed as arg minf{∥φ(f)∥1 subject to ∥Af−y∥2≦ε}. The reconstructed image is an angiogram which may be a 4D angiogram. The angiogram is used to diagnose a vascular disease.
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