Method of selecting and visualizing findings within medical images

• US 8,611,632 B2
• Filed: 10/06/2009
• Issued: 12/17/2013
• Est. Priority Date: 04/08/2005
• Status: Expired due to Fees

• Current Assignee: 361 Degrees Systems, Inc.
• Original Assignee: 361º Systems Incorporated
• Inventors: Brockway, John Philip, Carruthers, William Benjamin III
• Primary Examiner(s): Dang, Duy M
• Application Number:
  US12/574,393
• Publication Number:
  US 20100021031A1
• Time in Patent Office: 1,533 Days
• Field of Search: 382/128, 382132-133, 600424-427
• US Class Current: 382/132
• CPC Class Codes: G06T 15/08 Volume rendering
• CPC Class Codes: G06T 19/00 Manipulating 3D models or images for computer graphics
• CPC Class Codes: G06T 2207/10096 Dynamic contrast-enhanced magnetic resonance imaging [DCE-MRI]
• CPC Class Codes: G06T 2207/10116 X-ray image
• CPC Class Codes: G06T 2207/20092 Interactive image processing based on input by user
• CPC Class Codes: G06T 2207/20104 Interactive definition of region of interest [ROI]
• CPC Class Codes: G06T 2207/20132 Image cropping
• CPC Class Codes: G06T 2207/30068 Mammography; Breast
• CPC Class Codes: G06T 2210/41 Medical
• CPC Class Codes: G06T 2219/028 Multiple view windows (top-side-front-sagittal-orthogonal)
• 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
• CPC Class Codes: G06V 10/25 Determination of region of interest [ROI] or a volume of interest [VOI]

Abstract

A method of processing regions of interest (ROI) obtained using computed-aided detection (CAD) along with reference image data to assist in evaluation of disease within an anatomical volume. After obtaining ROIs and reference image data, additional information related to each ROI is automatically computed. Subsets of ROIs are selected for use in visualization. ROIs are then presented to an observer in interactive, linked views, each view presenting optimally certain aspects of the ROIs and mapping ROI inclusion within the subsets to visual parameters.

Claims

1. A computer-implemented method for processing regions of interest (ROI) derived at least partially from image data corresponding to an anatomical volume, comprising:

accessing, via one or more computers, ROIs;

accessing, via at least one of the one or more computers, reference image data corresponding to the anatomical volume;

generating, via at least one of the one or more computers, additional information related to the ROIs;

selecting, via at least one of the one or more computers, one or more subsets of ROIs; and

presenting, via at least one of the one or more computers, the ROIs with the additional information and the reference images to an observer, wherein the ROIs in the subsets are visually distinct.

2. The method of claim 1, further comprising selecting a set of points, each point corresponding to a location within the anatomical volume.

3. The method of claim 1, further comprising presenting the ROIs in a spatial view using volume rendering.

4. The method of claim 3, further comprising presenting each of the ROIs in the spatial view using a lighting model and determining lighting parameters of the ROI based on information related to the ROI and the inclusion of the ROI within the subsets of ROIs.

5. The method of claim 3, further comprising simultaneously presenting a plurality of volumes in the spatial view, each volume comprising a subset of the anatomical volume.

6. The method of claim 3, further comprising navigating the spatial view using the subset of ROIs.

7. The method of claim 2, further comprising modifying the set of points according to the focal points of ROIs within one or more of the subset of ROIs, each focal point being a representative location of part of an anatomical process.

8. The method of claim 2, further comprising presenting the selected points in a composition view.

9. The method of claim 8, further comprising presenting a plurality of signal-time curves in the composition view, each signal-time curve corresponding to a plurality of signal intensities over time at a location within a neighborhood of each of the selected points.

10. The method of claim 1, further comprising presenting the ROIs in an enumerated view.

11. The method of claim 10, further comprising presenting a plurality of ROI icons, each icon corresponding to a ROI.

12. The method of claim 11, wherein each ROI icon comprises a projection of image data corresponding to the ROI.

13. The method of claim 11, further comprising ordering the ROI icons based on information related to each corresponding ROI.

14. The method of claim 11, further comprising determining the size or color of each ROI icon based on information related to each corresponding ROI.

15. The method of claim 1, wherein the observer is a clinician screening for lesions within the anatomical volume.

16. The method of claim 1, further comprising merging ROIs according to compositional and morphological similarity and proximity.

17. The method of claim 1, further comprising computing a plurality of focal points related to each ROI, each focal point representing a substantially separate part of the same anatomical process.

18. The method of claim 17, wherein each of the focal points is a location substantially within the interior of a lesion with characteristics similar to those exhibited by a particular type of tissue or abnormality.

19. The method of claim 1, further comprising selecting one or more subsets of ROIs by applying one or more filters to the ROIs.

20. The method of claim 19, wherein the filters comprise a plurality of ROI thresholds using confidence levels or category levels.