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US 6,647,134 B1Granted
Autocorrection of MR projection images
AssigneeMayo Foundation for Medical Education and Research
InventorsKiaran P. McGee, Joel Felmlee, Richard Ehman, Armando Manduca
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Abstract
An MRA image is corrected for motion artifacts using an iterative, autocorrection process in which corrections are tried and the quality of the resulting reconstructed image is measured. Corrections are made to the acquired three-dimensional data while the metric which measures image quality is applied to a two-dimensional projection image.
Claims12
A method for correcting an MRA image for artifacts, the steps comprising:
- a) acquiring a series of views using a magnetic resonance imaging system that performs a three-dimensional imaging pulse sequence to form a three-dimensional image data set;
- b) reconstructing a three-dimensional image from the acquired three-dimensional image data set;
- c) projecting the three-dimensional image onto a two-dimensional projection plane to form a two-dimensional projection image;
- d) evaluating the quality of the reconstructed image by calculating a cost function based on the two-dimensional projection image;
- and
- e) iteratively minimizing the cost function by making corrections to views in the three-dimensional image data set and repeating steps b), c), d) and e).
3 more elements
A method for correcting an image for artifacts;
- the steps comprising:
- a) acquiring a series of views using a magnetic resonance imaging system that performs an imaging pulse sequence to form a k-space image data set;
- b) reconstructing an image by Fourier transforming the k-space image data set;
- c) producing a derivative image by processing the reconstructed image;
- d) evaluating the quality of the derivative image by calculating a cost function based on the derivative image;
- and
- e) iteratively minimizing the cost function by making corrections to views in the k-space image data set and repeating steps b), c), d) and e).
4 more elements
Dependencies are inferred from the claim text.