Dipole matched filter for MRI
A method includes receiving k-space data corresponding to magnetic resonance data for a subject and selecting a template for analysis. In addition, the method includes generating an image using the k-space data and using the template.
1. A method comprising:
receiving k-space data corresponding to magnetic resonance data for a subject;
selecting a template for analysis, the template selected based on a local dipole field in the magnetic resonance data for the subject; and
generating an image using the k-space data and using the template, the image generated by multiplying the template and the k-space data.
2. The method of claim 1 wherein receiving k-space data includes generating data using a SWIFT protocol.
3. The method of claim 1 wherein receiving k-space data includes generating data using a UTE protocol.
4. The method of claim 1 wherein receiving k-space data includes generating data using a SWIFT-LiTE protocol.
5. The method of claim 1 wherein selecting the template includes selecting a dipole model.
6. The method of claim 1 wherein selecting the template includes selecting a kernel using a dipole model.
7. The method of claim 6 wherein generating the image includes positioning the kernel at a plurality of locations in the k-space data.
8. The method of claim 1 wherein generating the image includes comparing the template and the k-space data.
9. The method of claim 1 wherein generating the image includes attenuating if the template corresponds to the k-space data corresponds to a match.
10. The method of claim 1 wherein generating the image includes attenuating if the template differs from the k-space data.
11. The method of claim 1 wherein generating the image includes enhancing if the template differs from the k-space data.
12. The method of claim 1 wherein generating the image includes generating an image exhibiting negative contrast.
13. A non-transitory computer readable medium having instruction stored thereon to perform a method comprising:
receiving k-space data corresponding to magnetic resonance data for a subject;
selecting a template for analysis, the template selected based on a local dipole field in the magnetic resonance data for the subject; and
generating an image using the k-space data and using the template, the image generated by multiplying the template and the k-space data.
14. The computer readable medium of claim 13 wherein receiving k-space data includes generating data using a SWIFT protocol.
15. The computer readable medium of claim 13 wherein receiving k-space data includes generating data using a UTE protocol.
16. The computer readable medium of claim 13 wherein receiving k-space data includes generating data using a SWIFT-LiTE protocol.
17. The computer readable medium of claim 13 wherein selecting the template includes selecting a dipole model.
18. The computer readable medium of claim 13 wherein selecting the template includes selecting a kernel using a dipole model.
19. The computer readable medium of claim 18 wherein generating the image includes positioning the kernel at a plurality of locations in the k-space data.
20. The computer readable medium of claim 13 wherein generating the image includes comparing the template and the k-space data.
21. The computer readable medium of claim 13 wherein generating the image includes attenuating if the template corresponds to the k-space data corresponds to a match.
22. The computer readable medium of claim 13 wherein generating the image includes attenuating if the template differs from the k-space data.
23. The computer readable medium of claim 13 wherein generating the image includes enhancing if the template differs from the k-space data.
24. The computer readable medium of claim 13 wherein generating the image includes generating an image exhibiting negative contrast.
25. A method comprising:
receiving magnetic resonance data; and
generating an image using a filter, the filter including a secular dipole model corresponding to a local dipole field in the magnetic resonance data, the image generated by multiplying the secular dipole model and k-space data, the k-space data corresponding to the magnetic resonance data.