Magnetic Resonance Based Method for Assessing Alzheimer's Disease and Related Pathologies

• US 20140303487A1
• Filed: 03/12/2014
• Published: 10/09/2014
• Est. Priority Date: 09/13/2011
• Status: Abandoned Application

• Current Assignee: Osteotronix Medical Pte. Limited
• Original Assignee: Acuitas Medical Limited
• Inventors: James, Timothy W., James, Kristin, Farr, Lance W., Chase, David R., Heinrich, John P., Brady, J. Michael, Rafferty, James
• Application Number:
  US14/205,733
• Publication Number:
  US 20140303487A1
• Time in Patent Office: Days
• US Class Current: 600/415
• CPC Class Codes: A61B 2576/026 for the brain
• CPC Class Codes: A61B 5/0042 for the brain
• 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: G01R 33/483 with selection of signals or spectra from particular regions of the volume, e.g. in vivo spectroscopy
• CPC Class Codes: G01R 33/4833 using spatially selective excitation of the volume of interest, e.g. selecting non-orthogonal or inclined slices
• CPC Class Codes: G01R 33/5601 involving use of a contrast agent for contrast manipulation, e.g. a paramagnetic, super-paramagnetic, ferromagnetic or hyperpolarised contrast agent
• 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
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing

Abstract

The disclosed invention is a method for detecting indications of the presence of Alzheimer'"'"'s disease (AD) and related dementia-inducing, motor-control-related pathologies, and other diseases in the human brain using a magnetic-resonance based technique for measuring fine tissue and bone textures. Specifically, the invention focuses on refinements/adaptations to a prior art magnetic resonance fine texture measurement technique that facilitates/enables pushing the detection limits closer to the cellular level, so as to be able to measure the fine scale structures and tissue changes that are known to be characteristic of the neurodegenerative processes involved in the development of these diseases.

Claims

1. A method of assessing conditions or disease of a brain in a patient comprising:

acquiring spatially-encoded MR echoes along a acquisition axis of a selectively-excited internal volume positioned within a targeted region in a patient'"'"'s brain while applying a magnetic field gradient;

analyzing the spatially-encoded MR echoes along an acquisition axis in the selectively-excited internal volume to yield a spectrum of textural wavelengths in a region of interest along a spatially-encoded axis of the internal volume;

characterizing and assessing the conditions or disease from the region of interest and the spectrum of textural wavelengths in the region of interest in comparison to known spectrums of textural wavelengths in a corresponding region of interest taken from the same or different patients.

2. The method of claim 1 wherein the selectively-excited internal volume is positioned within the patient'"'"'s cortex.

3. The method of claim 1 wherein the method is repeated at multiple times and for multiple regions of interest in the patient'"'"'s cortex to assess the spatial and temporal progression of the brain disease.

4. The method of claim 1 wherein the selectively-excited internal volume is positioned to run along a top of a cortical fold.

5. The method of claim 1 wherein the selectively-excited internal volume is positioned to run along a side of a cortical fold.

6. The method of claim 1 wherein the selectively-excited internal volume is positioned to run along a bottom of a cortical fold.

7. The method of claim 1 further comprising:

positioning the selectively-excited internal volume along a curve in the patient'"'"'s cortex in a region of interest containing non-isotropic repeating structures and with the acquisition axis oriented to intersect the structures at angles either side of orthogonal so that different regions of interest along the acquisition axis in the selectively-excited internal volume have different angles with respect to the magnetic field gradient; and

comparing the textural wavelengths from different regions of interest along the selectively-excited internal volume;

thereby providing verification of which part of a structural spectrum arises from columnar organization.

8. The method of claim 1 for assessment of ordered, non-isotropic textures further comprising:

acquiring successive spatially-encoded MR echoes at a range of readout gradient angles relative to the acquisition axis of the selectively-excited internal volume.

9. The method of claim 1 wherein acquiring spatially-encoded MR echoes along the spatially-encoded axis of a selectively-excited internal volume comprises using partial Fourier acquisition of a symmetric spin echo to allow a shorter echo time and hence a stronger signal at k values of interest;

thereby acquiring contrast data in regions of the brain between high fat content materials and high water content materials.

10. The method of claim 9 wherein artifacts present on a leading portion of the spatially-encoded MR echoes are avoided by using a trailing portion of the echo.

11. The method of claim 1 to highlight vasculature wherein:

acquiring spatially-encoded MR echoes along the spatially-encoded axis of a selectively-excited internal volume comprises using a spin echo wherein k values of interest fall at a time displaced from spin echo time;

whereby contrast develops between blood in the vasculature and surrounding tissue.

12. The method of claim 11 wherein artifacts present on a leading portion of the spatially-encoded MR echoes are avoided by using a trailing portion of the echo.

13. The method of claim 11 wherein the k values of interest on the trailing part of the echo are produced at an earlier time to allow better signal to noise for highlighting contrast between myelinated axons and surrounding tissue;

thereby providing a higher signal by use of a partial Fourier echo.

14. The method of claim 11 wherein putting the spin echo before k0 allows greater development of contrast between vasculature and surrounding tissue by the time high-frequency k values of interest are recorded, and before T2 decay has significantly reduced the echo signal.

15. The method of claim 11 wherein the spin echo is positioned as close as possible to the k values of interest to highlight contrast between inflammatory structure and surrounding tissue.

16. The method of claim 1 further comprising, when acquiring the spatially-encoded MR echoes and the selectively-excited internal volume is near the patient'"'"'s skull, using a surface coil in proximity to the patient'"'"'s head to acquire the spatially-encoded MR echoes.

17. The method of claim 1 further comprising:

positioning the selectively-excited internal volume with its acquisition axis traversing a curved section of the patient'"'"'s cortex to ensure that the acquisition axis aligns with minicolumn structures of the patient'"'"'s cortex at different angles along the acquisition axis through the cortex; and

using the observed variation in spectrum with angle to calculate the columnar spacing and width and to obtain information on a degree of order of the minicolumn structure as an additional measure of disease advancement.

18. The method of claim 1 wherein the magnetic field gradient direction intersects repeating structures at 90°

and at angles on either side of 90°

.

19. The method of claim 18 wherein the repeating structures are cortical minicolumns.

20. The method of claim 19 wherein assessing a disease of the brain includes assessing changes in the organization of cortical minicolumns.

21. The method of claim 19 wherein assessing a disease of the brain includes assessing changes in the organization of cortical minicolumns as part of assessing autism and schizophrenia.

22. The method of claim 19 wherein assessing a disease of the brain includes assessing changes in the organization of cortical minicolumns in AD onset and progression.

23. The method of claim 1 wherein the method is used to diagnose and assess dementia-causing brain disease.

24. The method of claim 1 wherein characterizing the disease includes distinguishing between dementia-causing brain diseases.

25. The method of claim 1 wherein assessing a disease of the brain includes assessing a progression of the disease.

26. The method of claim 1 wherein assessing a disease of the brain includes assessing temporal and spatial progression of the disease.

27. The method of claim 1 wherein assessing a disease of the brain includes assessing amyloid beta plaque deposition and attendant tissue changes in brain tissue and within vasculature.

28. The method of claim 1 wherein assessing a disease of the brain includes assessing changes in microvasculature within the patient'"'"'s cortex and underlying white matter in response to onset of dementia.

29. The method of claim 1 wherein assessing a disease of the brain includes assessing of changes in white matter.

30. The method of claim 1 wherein assessing a disease of the brain includes assessing changes in white matter attendant with Multiple Sclerosis.

31. The method of claim 1 wherein assessing a disease of the brain includes assessing changes in vasculature and surrounding tissue in response to development of cerebrovascular disease.

32. The method of claim 1 wherein assessing a disease of the brain includes assessing inflammatory effects in tissue attendant with disease development.

33. The method of claim 1 wherein assessing a disease of the brain includes assessing tissue textural/structural changes attendant in development and progression of brain disease.

34. The method of claim 1 wherein assessing conditions of the brain includes determining boundaries of control regions in the patient'"'"'s cortex in vivo for use in measurements of brain function in both diseased and healthy brains.

35. The method of claim 1 further comprising using a head cradle for patient stabilization.

36. The method of claim 1 further comprising using a surface coil for high gain.

37. The method of claim 1 further comprising using real-time measurement of and correction for patient motion.

38. The method of claim 1 further comprising using repeated acquisition of 3D reference images while acquiring spatially-encoded MR echoes along the spatially-encoded axis of a selectively-excited internal volume positioned within a targeted region in a patient'"'"'s brain while applying a magnetic field gradient in order to monitor and correct for patient motion.

39. The method of claim 1 further comprising tailoring a cross-section of the selectively-excited internal volume to fit within a selected tissue region.

40. The method of claim 1 further comprising using PASE, PEASE, or PSSE acquisition sequences.

41. The method of claim 1 further comprising using exogenous or endogenous contrast.

42. The method of claim 1 further comprising monitoring of the spatial and temporal progression of disease effects in the brain to identify the disease and determine its progression.

43. The method of claim 1 further comprising monitoring tissue changes in both gray matter and white matter attendant with brain atrophy development and variation in tissue MR signal intensity due to aging and disease.

44. The method of claim 1 further comprising applying varying angles of the magnetic field gradient for acquisition of successive echoes during a measurement series.

45. The method of claim 1 further comprising:

positioning the axis of the selectively-excited internal volume along a region of interest where an organized structure curves; and

,

measuring variations in structural spectrum along a curve of the organized structure.