Method and system for processing multiple series of biological images obtained from a patient

• US 9,123,100 B2
• Filed: 11/01/2012
• Issued: 09/01/2015
• Est. Priority Date: 11/20/2007
• Status: Active Grant

• Current Assignee: Olea medical
• Original Assignee: Olea medical
• Inventors: Djeridane, Faycal
• Primary Examiner(s): Artman, Thomas R
• Application Number:
  US13/666,367
• Publication Number:
  US 20130058549A1
• Time in Patent Office: 1,034 Days
• Field of Search: 324360-309, 382/128
• US Class Current: 1/1
• CPC Class Codes: A61B 6/481 involving the use of contrast agents
• CPC Class Codes: A61B 6/486 involving generating temporal series of image data
• CPC Class Codes: A61B 6/507 for determination of haemodynamic parameters, e.g. perfusion CT
• CPC Class Codes: A61B 6/5229 combining image data of a patient, e.g. combining a functional image with an anatomical image
• CPC Class Codes: G06T 2200/24 involving graphical user interfaces [GUIs]
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/20108 Interactive selection of 2D slice in a 3D data set
• CPC Class Codes: G06T 2207/30016 Brain
• CPC Class Codes: G06T 7/0014 using an image reference approach
• CPC Class Codes: G06T 7/44 using image operators, e.g. filters, edge density metrics or local histograms

Abstract

A computer-readable storage medium comprising computer-readable program code stored thereon which, when interpreted by a computing apparatus, causes the computing apparatus to implement an image processing tool for processing a plurality of biological images arranged in a plurality of image series wherein certain biological images across different image series have a predefined correspondence with one another. The computer-readable program code comprises computer-readable program code for causing the computing apparatus to: be attentive to receipt of an indication of a selected biological image from the plurality of biological images and belonging to a first one of the image series; be attentive to receipt of an indication of a segmentation mask created based on the selected biological image; apply the segmentation mask to a second biological image from the plurality of biological images, the second biological image belonging to a second one of the image series that is different from the first one of the image series, the second biological image having a predefined correspondence with the selected biological image; and display the second biological image after application of the segmentation mask.

Claims

1. A method for processing images in a system having a computer and a display device, the method comprising:

obtaining a plurality of series of biological images by the computer, wherein at least one series is in a first biological class and at least one other series is in a second biological class different from the first biological class, and wherein certain images in any series correspond to certain images in the other series;

performing a registration process, by the computer, to align pixels of certain images in one series with the corresponding pixels of certain images in the other series;

creating, by the computer, a segmentation mask for a selected image in a series in the first biological class whose pixels are aligned in accordance with the registration process, wherein the segmentation mask defines a set of pixels to be eliminated from that selected image; and

applying, by the computer, the segmentation mask to a corresponding image in another series in the second biological class whose pixels are aligned in accordance with the registration process, to eliminate corresponding pixels of the image in the other series; and

displaying, on the display device, the image from the other series whose pixels were eliminated by the segmentation mask.

2. The method of claim 1, wherein the elimination of a pixel comprises setting a value of the pixel to a baseline value if the pixel is within the set defined by the segmentation mask.

3. The method of claim 1, wherein:

each of the selected images in a series comprises an array of pixels or voxels having respective values; and

creating the segmentation mask for an image in a series comprises;

comparing the value of each pixel or voxel in the particular image to a range; and

adding the pixel or voxel to the set of pixels defined by the segmentation mask if the value of the pixel or voxel is outside the range.

4. The method of claim 1, wherein:

each selected image in a series comprises an array of pixels or voxels having respective values; and

creating the segmentation mask for an image in a series comprises specifying a geometric figure based on received input.

5. The method of claim 1, wherein:

each selected image comprises an array of pixels or voxels having respective values; and

creating a segmentation mask comprises adding a region of pixels or voxels left isolated by creation of a previous segmentation mask.

6. The method of claim 1, further comprising:

selecting a set of images in the other series on which to effect a volumetric computation; and

effecting a volumetric computation of a region represented by pixels that have not been eliminated, based on the images.

7. The method of claim 6, wherein effecting the volumetric computation comprises estimating the volume of interest based on:

an area of the region exhibited by each image in the set; and

an inter-slice distance between adjacent images in the set.

8. The method of claim 6, wherein the volumetric computation represents an estimate of a volume of a core ischemia zone.

9. The method of claim 6, wherein the volumetric computation represents an estimate of a volume of an ischemia penumbra zone.

10. The method of claim 6, further comprising displaying the volumetric computation.

11. The method of claim 1 wherein, following application of a respective segmentation mask to a given image in a series, the given image exhibits a region corresponding to a cross-section of a volume of interest spanning the images in the series.

12. The method of claim 1, wherein a series is diffusion-weighted or perfusion-weighted.

13. The method of claim 12, wherein the series in the first biological class is one of diffusion-weighted or perfusion-weighted, and the other series in the second biological class is the other of diffusion-weighted or perfusion-weighted.

14. The method of claim 12, wherein a diffusion-weighted series comprises a B1000 series or an Apparent Diffusion Coefficient series.

15. The method of claim 1, further comprising, prior to the obtaining, establishing a correspondence between certain images in a series and certain images in another series.

16. The method of claim 15, wherein:

each image is associated with a respective axial slice; and

the establishing comprises;

initializing a threshold slice height difference;

attempting to identify a pair of corresponding images such that;

the pair of corresponding images includes one image from each of the series; and

the images in each pair are associated with respective slice heights differing by no more than the threshold slice height difference;

increasing the threshold slice height difference; and

repeating the attempting and the increasing until the threshold slice height difference reaches a maximum threshold slice height difference.

17. The method of claim 16, further comprising:

for each image in the series that has not been paired by the repeating, pairing the image with a blank image.

18. The method of claim 1, wherein the registering of certain images in one series and certain images in another series is carried out within a common frame of reference.

19. The method of claim 18, wherein registering a particular image within a common frame of reference comprises one or more of zooming, rotating, and translating the image relative to an original frame of reference.

20. The method of claim 1, wherein the images are magnetic resonance images and the images in the series in the first biological class and the images in the other series in the second biological class originate from respectively different radiological modalities.

21. The method of claim 1, wherein the set of pixels defined by the segmentation mask isolate a component of the selected image from other components of the selected image.

22. A non-transitory computer-readable storage medium having computer-executable instructions stored thereon for processing images, the instructions comprising:

instructions for obtaining a plurality of series of biological images including a first series in a first biological class and a second series in a second biological class different from the first biological class, wherein certain images in any series correspond to certain images in other series;

instructions for registering images to align pixels of certain images in one series with the corresponding pixels of certain images in the other series;

instructions for receiving selections of one or more images from the first series whose pixels have been aligned;

instructions for creating a respective segmentation mask for each of the selected one or more images in the first series, wherein the segmentation mask defines a set of pixels to be eliminated from that selected image;

instructions for applying the respective segmentation mask to a corresponding image in the second series whose pixels have been aligned, to eliminate corresponding pixels of the image in the other series, and

instructions for displaying the image from the other series whose pixels were eliminated by the segmentation mask.

23. The computer-readable storage medium of claim 22, the instructions further comprising:

instructions for setting a value of a pixel to a baseline value in response to determining that the pixel is in the set defined by the segmentation mask.

24. The computer-readable storage medium of claim 22, wherein a series is diffusion-weighted or perfusion-weighted.

25. The computer-readable storage medium of claim 24, wherein the first series is one of diffusion-weighted or perfusion-weighted, and the second series is the other of diffusion-weighted or perfusion-weighted.

26. The computer-readable storage medium of claim 22, wherein the first series originates from a first radiological modality and the second series originates from a second radiological modality different from the first radiological modality.

27. A method for processing images in a system having a computer and a display device, the method comprising:

obtaining a plurality of series of biological images by the computer, wherein the images in at least one series contain a first type of biological information, and the images in at least one other series contain a second type of biological information different from the first type of biological information, and wherein certain images in any series correspond to certain images in other series;

performing a registration process, by the computer, to align pixels of certain images in one series with the corresponding pixels of certain images in the other series;

creating, in the computer, a segmentation mask for a selected image in a series containing the first type of biological information whose pixels are aligned in accordance with the registration process, wherein the segmentation mask defines a set of pixels to be eliminated from the selected image;

applying, via the computer, the segmentation mask to a corresponding image in another series containing the second type of biological information whose pixels are aligned in accordance with the registration process, to eliminate corresponding pixels of the image in the other series; and

displaying, on the display device, the image from the other series whose pixels were eliminated by the segmentation mask.

28. The method of claim 27, wherein the elimination of a pixel comprises setting a value of the pixel to a baseline value if the pixel is in the set defined by the segmentation mask.

29. The method of claim 27, wherein the set of pixels defined by the segmentation mask isolate a component of the selected image from other components of the selected image.

30. A non-transitory computer-readable storage medium having computer-executable instructions stored thereon for processing images, the instructions comprising:

instructions for obtaining a plurality of series of biological images including a first series whose images contain a first type of biological information, and a second series whose images contain a second type of biological information different from the first type of biological information, wherein certain images in any series correspond to certain images in other series;

instructions for registering images to align pixels of certain images in one series with the corresponding pixels of certain images in the other series;

instructions for receiving selections of one or more images from the first series whose pixels have been aligned;

instructions for creating a respective segmentation mask for each of the selected one or more images in the first series, wherein a segmentation mask defines a set of pixels to be eliminated from the selected image;

instructions for applying the respective segmentation mask to a corresponding image in the second series whose pixels have been aligned, to eliminate corresponding pixels of the image in the other series, and

instructions for displaying the image from the other series whose pixels were eliminated by the segmentation mask.

31. The computer-readable storage medium of claim 30, wherein the instructions for applying further comprise setting a value of a pixel to a baseline value if a determination is made that the pixel is in the set defined by the segmentation mask.

32. The computer-readable storage medium of claim 30, wherein the set of pixels defined by the segmentation mask isolate a component of the selected image from other components of the selected image.

33. A system comprising:

means for obtaining a plurality of series of biological images including a first series whose images contain a first type of biological information, and a second series whose images contain a second type of biological information different from the first type of biological information, wherein certain images in the first series and certain images in the second series are corresponding;

means for registering images to align pixels of certain images in one series with the corresponding pixels of certain images in the other series;

means for creating a respective segmentation mask for each selected image in said first series whose pixels have been aligned, wherein the segmentation defines a set of pixels to be eliminated from the selected image;

means for applying said respective segmentation mask to the corresponding image in the second series whose pixels have been aligned, to eliminate corresponding pixels of the image in the other series; and

,

means for displaying the image from the other series whose pixels were eliminated by the segmentation mask.

34. The system of claim 33, wherein the means for applying includes means for setting a value of a pixel to a baseline value if a determination is made that the pixel is within the set defined by the segmentation mask.

35. The method of claim 33, wherein the set of pixels defined by the segmentation mask isolate a component of the selected image from other components of the selected image.

36. A method for processing a plurality of series of biological images obtained from a patient in a system having a computer and a display device, comprising:

obtaining a plurality of series of biological images by the computer, including a first series whose images contain a first type of biological information, and a second series whose images contain a second type of biological information different from the first type of biological information, wherein certain images in any series correspond to certain images in other series;

performing a registration process by the computer, to align pixels of certain images in said first series with corresponding pixels of certain images in said second series;

creating, by the computer, a segmentation mask for a selected image in said first series;

applying, by the computer, said segmentation mask to a corresponding image in said second series, and obtaining a set of images that exhibit a region corresponding to a cross-section of a volume of interest spanning the corresponding images;

effecting a volumetric computation in the computer, based on said set of images, and

displaying, on the display device, an image from the set of images.

37. The method of claim 36, wherein effecting the volumetric computation comprises estimating the volume of interest based on:

an area of the region exhibited by each image in the set; and

an inter-slice distance between adjacent images in the set.

38. The method of claim 36, wherein the volumetric computation represents an estimate of a volume of a core ischemia zone.

39. The method of claim 36, wherein the volumetric computation represents an estimate of a volume of an ischemia penumbra zone.

40. The method of claim 36, further comprising displaying said volumetric computation.