LONGITUDINAL REGISTRATION OF ANATOMY IN MAGNETIC RESONANCE IMAGING

• US 20100259263A1
• Filed: 11/14/2008
• Published: 10/14/2010
• Est. Priority Date: 11/14/2007
• Status: Abandoned Application

• Current Assignee: Regents of the University of California (University of California)
• Original Assignee: Regents of the University of California (University of California)
• Inventors: Holland, Dominic, Dale, Anders M.
• Application Number:
  US12/742,642
• Publication Number:
  US 20100259263A1
• Time in Patent Office: Days
• US Class Current: 324/310
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 5/4088 Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
• CPC Class Codes: A61B 6/501 for diagnosis of the head, e.g. neuroimaging or craniography
• CPC Class Codes: G01R 33/56 Image enhancement or correction, e.g. subtraction or averaging techniques , e.g. improvement of signal-to-noise ratio and resolution
• CPC Class Codes: G01R 33/5608 Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels image data processing or generation, in general G06T

Abstract

Devices, systems, and techniques relate to detecting volumetric changes in imaged structures over time, including devices, systems and techniques that enable precise registration of structures (e.g., brain areas) after large or subtle deformations, allowing precise registration at small spatial scales with a low boundary contrast.

Claims

1. A method for imaging a subject, comprising:

correcting first and second images of a subject and registering the first image to the second image;

obtaining a deformation field that maps each element in the first image into a corresponding element in the second image by reducing a mapping error from the first image to the second image; and

calculating a volume of at least one region within the subject in the second image and using the deformation field to calculate a volume of the same at least one region within the subject in the first image.

2. The method of claim 1, in which the first and second images comprise images measured with magnetic resonance imaging, x-ray computed tomography, ultrasound, single photon emission computed tomography, or positron emission tomography.

3. The method of claim 1, in which the subject comprises a human, a primate, or a rodent.

4. The method of claim 1, in which the registering comprises performing an affine registration prior to a nonlinear registration.

5. The method of claim 1, comprising smoothing the images as part of registering the first image to the second image.

6. The method of claim 5, in which registering comprises iteratively smoothing the images and performing a nonlinear registration of the first image to the second image.

7. The method of claim 1 in which minimizing comprises calculating a Hessian of a function that represents the mapping error and using a linear algebraic technique on the Hessian to obtain the deformation field.

8. The method of claim 7, in which the linear algebraic technique comprises conjugate gradients squared (CGS), generalized minimal residuals (GMRES), or biconjugate gradients stabilized method (Bi-CGSTAB).

9. The method of claim 1, in which the minimizing is computationally fast.

10. The method of claim 1 in which correcting comprises:

standardizing intensities of the images to a uniform intensity scale; and

locally rescaling the intensities in the first or the second image to conform with inhomogenieties in the other image.

11. The method of claim 1, in which correcting comprises correcting geometric image distortions.

12. The method of claim 1, in which the at least one region within the subject is identified by using an automatic or manual segmentation technique.

13. The method of claim 1, in which the at least one region comprises part of a brain, a liver, a knee, a heart, an abdomen, or an organ.

14. The method of claim 1, in which the at least one region comprises part of a hippocampus, a middle temporal gyrus, an inferior temporal gyrus, a fusiform gyrus, an entorhinal cortex, a ventricle, or an amygdala.

15. The method of claim 1, comprising quantifying a volumetric change in the first and second images of the region within the subject.

16. The method of claim 15, in which the method is used for detection of a pathology or a disease.

17. The method of claim 16, in which the disease comprises a neurodegenerative disorder, a cancer, an inflammatory disease, or an immunologic disease.

18. The method of claim 17, in which the neurodegenerative disorder comprises Alzheimer'"'"'s Disease.

19. The method of claim 15, in which the method is used to assess an efficacy of a treatment administered to the subject.

20. The method of claim 19, in which the treatment comprises a drug or radiation therapy.

21. The method of claim 15, comprising evaluating groups of subjects with the method.

22. The method of claim 15, comprising producing a visualization of the volumetric change between the first and second images of the region within the subject.

23. The method of claim 22, in which the visualization comprises a color image whose color represents the volumetric change.

24. The method of claim 1, in which the first image is measured at a time before or after the second image and the time comprises days, weeks, months, and years.

25. The method of claim 1, in which the contrasts of the first and second images comprise contrasts based on different image weightings or modalities.

26. The method of claim 1, in which the mapping error comprises a function that comprises terms representing gradients of displacements at each voxel of one image of the pair, amplitudes of the displacements, and a quality of the registration.

32. A method of assessing an effect of a compound on a specified brain region, comprising the use of the method of claim 15, in which the volumetric change indicates the efficacy of the compound.

27. A method for imaging an object, comprising:

providing a function that represents a registration error between of a pair of images of an object;

reducing the function to correct for at least one of relative intensity variation or relative structural deformation between the images; and

producing a deformation field that registers one image of the pair to the other image of the pair.

28. The method of claim 27, comprising quantifying a volumetric change between the images.

29. The method of claim 27, in which the function comprises terms representing gradients of displacements at each voxel of one image of the pair, amplitudes of the displacements, a quality of the registration, or other quantities.

30. A method for diagnosing or monitoring a progress of a pathology or a disease, comprising:

correcting first and second images of a subject and registering the first image to the second image;

obtaining a deformation field that maps each element in the first image into a corresponding element in the second image by minimizing, on a computer, a mapping error from the first image to the second image;

calculating a volume of at least one region within the subject in the second image and using the deformation field to calculate a volume of the same at least one region within the subject in the first image; and

quantifying a volumetric change in the first and second images of the region within the subject, in which the volumetric change at least in part determines a presence or a change in the pathology or the disease.

31. The method of claim 30, in which determining a presence or a change comprises comparing the volumetric change with data of an expected change in the pathology or the disease.

33. A computer program product, encoded on a computer-readable medium, operable to cause a data processing apparatus to perform operations comprising:

obtaining a first image of a subject and a second image of the subject, in which the first image is measured at a different time than the second image;

correcting the first and second images;

registering the first image to the second image;

obtaining a deformation field that maps each element in the first image into a corresponding element in the second image by minimizing a function that represents a mapping error between the first and second images; and

calculating a volume of at least one region within the subject in the second image and using the deformation field to calculate a volume of the same at least one region within the subject in the first image.

34. The computer program product of claim 33, comprising operations for quantifying a volumetric change in the first and second images of the region within the subject.

35. A magnetic resonance imaging system comprising:

a magnetic resonance system configured to provide a first image and a second image of a subject; and

a data processing system configured to

correct the first and second images;

register the first image to the second image;

obtain a deformation field that maps each element in the first image into a corresponding element in the second image by minimizing a function that represents a mapping error between the first and second images; and

calculate a volume of at least one region within the subject in the second image and using the deformation field to calculate a volume of the same at least one region within the subject in the first image.

36. The system of claim 35, comprising a data processing system configured to quantify a volumetric change in the first and second images of the region within the subject.