SYSTEM AND METHOD FOR SIMULATANEOUS IMAGE ARTIFACT REDUCTION AND TOMOGRAPHIC RECONSTRUCTION

• US 20140270439A1
• Filed: 03/14/2013
• Published: 09/18/2014
• Est. Priority Date: 03/14/2013
• Status: Active Grant

• Current Assignee: Wisconsin Alumni Research Foundation (University of Wisconsin System)
• Original Assignee: Wisconsin Alumni Research Foundation (University of Wisconsin System)
• Inventors: Chen, Guang-Hong
• Granted Patent: US 9,384,566 B2
• Time in Patent Office: Days
• US Class Current: 382/131
• CPC Class Codes: G06T 11/003 Reconstruction from projections, e.g. tomography
• CPC Class Codes: G06T 11/006 Inverse problem, transformation from projection-space into object-space, e.g. transform methods, back-projection, algebraic methods
• CPC Class Codes: G06T 2211/412 Dynamic
• CPC Class Codes: G06T 2211/424 Iterative

Abstract

Described here is a system and method for image reconstruction that can automatically and iteratively produce multiple images from one set of acquired data, in which each of these multiple images corresponds to a subset of the acquired data that is self-consistent, but inconsistent with other subsets of the acquired data. The image reconstruction includes iteratively minimizing the rank of an image matrix whose columns each correspond to a different image. The rank minimization is constrained subject to a consistency condition that enforces consistency between the forward projection of each column in the image matrix and a respective subset of the acquired data that contains data that is consistent with data in the subset, but inconsistent with data not in the subset.

Claims

1. A method for reconstructing an image using a medical imaging system, the steps of the method comprising:

a) acquiring data from a subject with the imaging system;

b) initializing an image matrix having columns that each correspond to a different image;

c) reconstructing at least one image of the subject from the data acquired in step a) by;

i) minimizing a matrix rank of the image matrix; and

ii) constraining the rank minimization of step c)i) subject to a consistency condition that promotes a forward projection of each column in the image matrix to be consistent with a different subset of the acquired data, each subset of the acquired data containing data that are consistent with each other while being inconsistent with data in other subsets of the acquired data.

2. The method as recited in claim 1 in which the data acquired in step a) includes inconsistencies and step c) includes reconstructing a target image of the subject that is substantially free of image artifacts and at least one artifact image that contains substantially only image artifacts associated with the inconsistencies.

3. The method as recited in claim 1 in which the data acquired in step a) is representative of a time series of images and step c) includes reconstructing the time series of images, wherein each column in the image matrix corresponds to one of the images in the time series.

4. The method as recited in claim 3 in which the time series of images depict different cardiac phases of a subject'"'"'s heart and each subset of the acquired data corresponds to data acquired during a given cardiac phase.

5. The method as recited in claim 1 in which the data acquired in step a) includes inconsistencies associated with motion of the subject that occurred while the data was acquired.

6. The method as recited in claim 5 in which step c) includes reconstructing an image of the subject that is substantially free of motion-related image artifacts and at least one image that depicts motion artifacts associated with the inconsistencies in the data acquired in step a).

7. The method as recited in claim 6 in which the at least one image that depicts motion artifacts comprises a first image that depicts motion artifacts related to subject motion occurring in a first range of speeds and a second image that depicts motion artifacts related to subject motion occurring in a second range of speeds that is different than the first range of speeds.

8. The method as recited in claim 1 in which the medical imaging system is at least one of an x-ray computed tomography system, an x-ray tomosynthesis system, a C-arm x-ray imaging system, an on-board cone-beam CT imaging system for image-guided radiation therapy, a magnetic resonance imaging system, an ultrasound system, and a positron emission tomography system.

9. A method for reconstructing an image using a medical imaging system, the steps of the method comprising:

a) acquiring data from a subject with the medical imaging system, the acquired data containing a plurality of data consistency classes;

b) reconstructing an image of the subject from the data acquired in step a), the image of the subject containing artifacts associated with the data inconsistencies;

c) forming an image matrix having a first column corresponding to the image reconstructed in step b);

d) computing a target image matrix by iteratively updating the image matrix formed in step c) by minimizing a matrix rank of the image matrix subject to a data consistency condition such that each column of the computed target image matrix corresponds to a different one of the plurality of data consistency classes; and

e) providing a first column of the target image matrix computed in step d) and an image of the subject that is substantially free of artifacts.

10. The method as recited in claim 9 in which the plurality of data consistency classes in the data acquired in step a) include a data consistency class for data consistent with a true image of the subject and a data consistency class for data consistent with at least one artifact.

11. The method as recited in claim 9 in which the plurality of data consistency classes in the data acquired in step a) include data consistency classes corresponding to data consistent with different physical states of the subject.

12. The method as recited in claim 11 in which the different physical states of the subject include at least one of different cardiac phases and different respiratory phases.

13. The method as recited in claim 9 in which the plurality of data consistency classes in the data acquired in step a) include data consistency classes corresponding to data consistent with different speeds of subject motion that occurred when the data was acquired in step a).

14. The method as recited in claim 9 in which the medical imaging system is at least one of an x-ray computed tomography system, an x-ray tomosynthesis system, a C-arm x-ray imaging system, an on-board cone-beam CT imaging system for image-guided radiation therapy, a magnetic resonance imaging system, an ultrasound system, and a positron emission tomography system.