Method for correcting motion artifacts in magnetic resonance images
AssigneeSiemens Aktiengesellschaft
InventorsTi-chiun Chang, Tong Fang, Michelle Xiaohong Yan
Life of this patent
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Abstract
For resonance image data of an imaged subject, a method that first detects and estimates the dominant motions of k-space data (i.e., the motion vectors) and then constructs a graphical model for each estimated motion vector. The segments of the k-space that are determined to be corrupted by motion are restored by minimizing the energy associated with the corresponding graphical model. Consequently, the MR image of the imaged subject becomes free of motion artifacts.
Claims20
A method for compensating for motion by a subject in a magnetic resonance image, comprising:
- a. obtaining magnetic resonance image data from the imaged subject:
- b. estimating the dominant motion in the image data;
- c. constructing a graphical model for the estimated dominant motion;
- and
- d. optimizing the graphical model so that the image data corrupted by the motion of the imaged subject is corrected.
A method of producing a magnetic resonance image of a subject with compensated motion artifacts, comprising:
- a. obtaining magnetic resonance image data of the imaged subject, said image data containing motion artifacts;
- b. transforming the magnetic resonance image data into k-space data;
- c. determining motion vectors in the k-space data likely causing motion artifacts;
- d. constructing a graphical model for each motion vector;
- e. determining, from the graphical models, the motion vectors that are causing motion artifacts;
- and
- f. compensating for the motion vectors that are causing motion artifacts.
A magnetic resonance imaging apparatus, comprising:
- a. means for obtaining magnetic resonance image data of an imaged subject, said image data containing motion artifacts;
- b. means for transforming the magnetic resonance image data into k-space data;
- c. means for estimating the dominant motion in the k-space data;
- d. means for constructing a graphical model for the estimated dominant motion;
- and
- e. means for optimizing the graphical model so that the k-space data containing the motion artifacts is corrected.
Dependencies are inferred from the claim text.