MOVEMENT CORRECTION IN MRI USING A CAMERA

• US 20110201916A1
• Filed: 04/17/2009
• Published: 08/18/2011
• Est. Priority Date: 04/17/2008
• Status: Active Grant

• Current Assignee: United States Secretary of Health and Human Services is the head of the United States Department of Health and Human Services
• Original Assignee: United States Secretary of Health and Human Services is the head of the United States Department of Health and Human Services
• Inventors: Duyn, Jeff, Qin, Lei
• Granted Patent: US 9,545,217 B2
• Time in Patent Office: Days
• US Class Current: 600/410
• CPC Class Codes: A61B 5/05 Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves impedance plethysmography A61B5/0295; measuring movement of the entire body or parts thereof A61B5/11; detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof A61B5/24
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
• CPC Class Codes: G01R 33/283 Intercom or optical viewing arrangements, structurally associated with NMR apparatus
• CPC Class Codes: G01R 33/4808 Multimodal MR, e.g. MR combined with positron emission tomography [PET], MR combined with ultrasound or MR combined with computed tomography [CT]
• CPC Class Codes: G01R 33/543 Control of the operation of the MR system, e.g. setting of acquisition parameters prior to or during MR data acquisition, dynamic shimming, use of one or more scout images for scan plane prescription G01R33/546 takes precedence
• CPC Class Codes: G01R 33/56509 due to motion, displacement or flow, e.g. gradient moment nulling G01R33/567 takes precedence
• CPC Class Codes: G06T 3/14 Transformations for image registration, e.g. adjusting or mapping for alignment of images

Abstract

Provided are methods and systems for movement correction in an MRI environment. In one aspect, provided are systems and methods for movement correction, comprising receiving a first plurality of images from a first scan of a subject with a first camera, receiving magnetic resonance imaging (MRI) images obtained concurrently with the first scan, correlating the first plurality of images obtained from the first scan with the MRI images, resulting in motion correction data, and providing the motion correction data to an MRI system, wherein the MRI system adjusts scanning according to the motion correction data.

Claims

1. A method for movement correction, comprising:

receiving a first plurality of images from a first scan of a subject with a first camera;

receiving MRI images obtained concurrently with the first scan;

correlating the first plurality of images obtained from the first scan with the MRI images, resulting in motion correction data; and

providing the motion correction data to an MRI system, wherein the MRI system adjusts scanning according to the motion correction data.

2. The method of claim 1, wherein correlating the first plurality of images obtained from the first scan with the MRI images, resulting in motion correction data comprises:

extracting an image feature from the first plurality of images;

deriving motion parameters from the MRI images; and

associating the image feature from each image with the motion parameters from each concurrent MRI image.

3. The method of claim 1, wherein receiving a first plurality of images from a first scan of a subject with a first camera, further comprises:

receiving a second plurality of images from the first scan of the subject with a second camera.

4. The method of claim 3, wherein correlating the first plurality of images obtained from the first scan with the MRI images, resulting in motion correction data, further comprises:

correlating the second plurality of images obtained from the first scan with the MRI images, resulting in motion correction data.

5. The method of claim 1, further comprising:

receiving a third plurality of images from a second scan of the subject with the first camera;

extracting an image feature from the third plurality of images;

comparing the image feature from the third plurality of images with the image feature from the first plurality of images to determine similarities;

associating motion parameters from the first plurality of images with the similar images from the third plurality of images; and

updating the motion correction data with the association.

6. The method of claim 1, further comprising:

adjusting an MRI parameter based on the motion correction data in real-time.

7. A method for movement correction, comprising:

receiving a first plurality of images from a scan of a subject with a first camera;

comparing the first plurality of images to a pre-classified plurality of images to determine similarities, wherein each pre-classified image has associated motion parameters;

associating motion parameters from the pre-classified plurality of images with the similar images from the first plurality of images;

updating motion correction data with the association; and

providing the motion correction data to an MRI system, wherein the MRI system adjusts scanning according to the motion correction data.

8. The method of claim 7, wherein receiving a first plurality of images from a scan of a subject with a first camera further comprises:

receiving a second plurality of images from a scan of the subject with a second camera.

9. The method of claim 7, wherein comparing the first plurality of images to a pre-classified plurality of images to determine similarities, wherein each pre-classified image has associated motion parameters further comprises:

comparing the second plurality of images to the pre-classified plurality of images to determine similarities.

10. The method of claim 7, wherein associating motion parameters from the pre-classified plurality of images with the similar images from the first plurality of images further comprises:

associating motion parameters from the pre-classified plurality of images with the similar images from the second plurality of images.

11. The method of claim 7, further comprising:

adjusting an MRI parameter based on the motion correction data in real-time.

12. A system for movement correction, comprising:

a first camera, configured to image a subject;

a magnetic resonance imaging (MRI) device, configured to obtain MRI images concurrently with the first camera; and

a computing device, coupled to the first camera and the MRI device, configured for

receiving a first plurality of images from a first scan of a subject with the first camera,

receiving MRI images obtained concurrently with the first scan,

correlating the first plurality of images obtained from the first scan with the MRI images, resulting in motion correction data, and

providing the motion correction data to the MRI device, wherein the MRI device adjusts scanning according to the motion correction data.

13. The system of claim 12, wherein correlating the first plurality of images obtained from the first scan with the MRI images, resulting in motion correction data comprises:

extracting an image feature from the first plurality of images;

deriving motion parameters from the MRI images; and

associating the image feature from each image with the motion parameters from each concurrent MRI image.

14. The system of claim 12, wherein receiving a first plurality of images from a first scan of a subject with a first camera, further comprises:

receiving a second plurality of images from the first scan of the subject with a second camera.

15. The system of claim 14, wherein correlating the first plurality of images obtained from the first scan with the MRI images, resulting in motion correction data, further comprises:

correlating the second plurality of images obtained from the first scan with the MRI images, resulting in motion correction data.

16. The system of claim 12, wherein the computing device is further configured for:

receiving a third plurality of images from a second scan of the subject with the first camera;

extracting an image feature from the third plurality of images;

comparing the image feature from the third plurality of images with the image feature from the first plurality of images to determine similarities;

associating motion parameters from the first plurality of images with the similar images from the third plurality of images; and

updating the motion correction data with the association.

17. The system of claim 12, wherein the computing device is further configured for:

adjusting an MRI parameter based on the motion correction data in real-time.

18. A system for movement correction, comprising:

a first camera, configured to image a subject;

a magnetic resonance imaging (MRI) device, configured to obtain MRI images concurrently with the first camera; and

a computing device, coupled to the first camera and the MRI device, configured for

receiving a first plurality of images from a scan of a subject with the first camera;

comparing the first plurality of images to a pre-classified plurality of images to determine similarities, wherein each pre-classified image has associated motion parameters;

associating motion parameters from the pre-classified plurality of images with the similar images from the first plurality of images;

updating motion correction data with the association; and

providing the motion correction data to the MRI device, wherein the MRI device adjusts scanning according to the motion correction data.

19. The system of claim 18, wherein receiving a first plurality of images from a scan of a subject with a first camera further comprises:

receiving a second plurality of images from a scan of the subject with a second camera.

20. The system of claim 18, wherein comparing the first plurality of images to a pre-classified plurality of images to determine similarities, wherein each pre-classified image has associated motion parameters further comprises:

comparing the second plurality of images to the pre-classified plurality of images to determine similarities.

21. The system of claim 18, wherein associating motion parameters from the pre-classified plurality of images with the similar images from the first plurality of images further comprises:

associating motion parameters from the pre-classified plurality of images with the similar images from the second plurality of images.

22. The system of claim 18, wherein the computing device is further configured for:

adjusting an MRI parameter based on the motion correction data in real-time.

23. An apparatus for or movement correction, comprising:

a first camera, configured to image a subject;

a memory, configured for storing image data;

a processor, coupled to the first camera and the memory, configured for

receiving a first plurality of images from a first scan of a subject with the first camera,

receiving MRI images from an MRI system obtained concurrently with the first scan,

correlating the first plurality of images obtained from the first scan with the MRI images, resulting in motion correction data, and

providing the motion correction data to the MRI system, wherein the MRI system adjusts scanning according to the motion correction data.

24. The apparatus of claim 23, wherein correlating the first plurality of images obtained from the first scan with the MRI images, resulting in motion correction data comprises:

extracting an image feature from the first plurality of images;

deriving motion parameters from the MRI images; and

associating the image feature from each image with the motion parameters from each concurrent MRI image.

25. The apparatus of claim 23, further comprising a second camera and wherein receiving a first plurality of images from a first scan of a subject with a first camera, further comprises receiving a second plurality of images from the first scan of the subject with the second camera.

26. The apparatus of claim 25, wherein correlating the first plurality of images obtained from the first scan with the MRI images, resulting in motion correction data, further comprises:

correlating the second plurality of images obtained from the first scan with the MRI images, resulting in motion correction data.

27. The apparatus of claim 23, wherein the processor is further configured for:

receiving a third plurality of images from a second scan of the subject with the first camera;

extracting an image feature from the third plurality of images;

comparing the image feature from the third plurality of images with the image feature from the first plurality of images to determine similarities;

associating motion parameters from the first plurality of images with the similar images from the third plurality of images; and

updating the motion correction data with the association.

28. The apparatus of claim 23, wherein the processor is further configured for:

adjusting an MRI parameter based on the motion correction data in real-time.

29. An apparatus for or movement correction, comprising:

a first camera, configured to image a subject;

a memory, configured for storing image data;

a processor, coupled to the first camera and the memory, configured for

receiving a first plurality of images from a scan of a subject with the first camera;

comparing the first plurality of images to a pre-classified plurality of images to determine similarities, wherein each pre-classified image has associated motion parameters;

associating motion parameters from the pre-classified plurality of images with the similar images from the first plurality of images;

updating motion correction data with the association; and

providing the motion correction data to an MRI system, wherein the MRI system adjusts scanning according to the motion correction data.

30. The apparatus of claim 29, further comprising a second camera and wherein receiving a first plurality of images from a scan of a subject with a first camera further comprises receiving a second plurality of images from a scan of the subject with the second camera.

31. The apparatus of claim 29, wherein comparing the first plurality of images to a pre-classified plurality of images to determine similarities, wherein each pre-classified image has associated motion parameters further comprises:

comparing the second plurality of images to the pre-classified plurality of images to determine similarities.

32. The apparatus of claim 29, wherein associating motion parameters from the pre-classified plurality of images with the similar images from the first plurality of images further comprises:

associating motion parameters from the pre-classified plurality of images with the similar images from the second plurality of images.

33. The apparatus of claim 29, wherein the processor is further configured for:

adjusting an MRI parameter based on the motion correction data in real-time.