Workstations with circuits for generating images of global injury

• US 8,660,327 B2
• Filed: 12/09/2011
• Issued: 02/25/2014
• Est. Priority Date: 02/06/2004
• Status: Expired due to Fees

• Current Assignee: Wake Forest University Health Sciences
• Original Assignee: Wake Forest University Health Sciences
• Inventors: Hundley, William Gregory, Hamilton, Craig A., D'Agostino, Ralph B.
• Primary Examiner(s): Fitzpatrick, Atiba O
• Application Number:
  US13/315,970
• Publication Number:
  US 20120082352A1
• Time in Patent Office: 809 Days
• Field of Search: 382128-134, 128920-925, 356 39- 49, 600407-414, 600424-426, 345581-618, 250/455
• US Class Current: 382/128
• CPC Class Codes: A61B 5/0044 for the heart
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 5/7285 for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal A61B6/5205, A61B6/541, A61B8/5207, A61B8/543 take precedence
• CPC Class Codes: A61B 6/466 adapted to display 3D data
• CPC Class Codes: A61B 6/503 for diagnosis of the heart
• CPC Class Codes: A61B 6/504 for diagnosis of blood vessels, e.g. by angiography
• CPC Class Codes: A61B 6/506 for diagnosis of nerves
• CPC Class Codes: A61B 6/541 involving acquisition triggered by a physiological signal
• CPC Class Codes: G01R 33/283 Intercom or optical viewing arrangements, structurally associated with NMR apparatus
• CPC Class Codes: G01R 33/546 Interface between the MR system and the user, e.g. for controlling the operation of the MR system or for the design of pulse sequences
• CPC Class Codes: G06T 2207/10088 Magnetic resonance imaging [MRI]
• CPC Class Codes: G06T 2207/20104 Interactive definition of region of interest [ROI]
• CPC Class Codes: G06T 2207/30048 Heart; Cardiac
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: Y10S 128/92 Computer assisted medical diagnostics
• CPC Class Codes: Y10S 128/921 Diet management
• CPC Class Codes: Y10S 128/922 including image analysis
• CPC Class Codes: Y10S 128/923 by comparison of patient data to other data
• CPC Class Codes: Y10S 128/924 using artificial intelligence

Abstract

Physician interactive workstations with global voxel distribution visualization may also include one or more of a 3-D color scale image of a population of voxel in target regions, organs or systems. The workstation may be configured to evaluate intensity or other measures of voxels of patient images associated with tissue for early detection of a global injury.

Claims

1. A medical system, comprising:

a workstation comprising or in communication with a circuit for generating an image of target tissue of a patient using a measure of one or more voxel characteristic of substantially an entire population of voxels from patient images associated with the target tissue, wherein the generated image visually indicates whether there is a likelihood of a global injury, and wherein the global injury is a change in at least one of (i) tissue composition and function, (ii) tissue composition or (iii) tissue function, that is not visually detectable in the patient images and/or that is in a substantially randomly distributed pattern in the target tissue; and

a display in communication with the circuit for displaying the generated image.

2. The workstation of claim 1, wherein the generated image is a 3-D image, and wherein the global injury is illustrated so that like colors represent like measures of the one or more voxel characteristics.

3. The workstation of claim 1, wherein the target tissue comprises at least one of brain, nerve, skeletal, skeletal muscle, liver, kidney, lung, pancreatic, endocrine, gastrointestinal and/or genitourinary tissue.

4. The workstation of claim 1, wherein the circuit is configured to electronically analyze the patient images to determine a location of respective voxels in three-dimensional space and correlate a respective measure of the one or more voxel characteristic.

5. The workstation of claim 1, wherein the target tissue is heart tissue, and wherein the global injury is associated with replacement of native myocardial tissue with fibrous tissue that results in necrosis and/or fibrosis in a substantially randomly distributed pattern or in a pattern that is not visually detectable at a resolution of the patient images.

6. The workstation of claim 5, wherein the diagnostic image is a 3-D image of at least a portion of the heart.

7. The workstation of claim 1, wherein the global injury is associated with an abnormal accumulation of material that is not in normal ratios within native tissue.

8. The workstation of claim 1, wherein the one or more voxel characteristic includes at least one of the following:

intensity, color saturation, or other characteristic of individual voxels.

9. The workstation of claim 1, wherein the one or more voxel characteristic includes a relative characteristic.

10. The workstation of claim 1, wherein the circuit is configured to detect whether there is a random pattern of like measures of the one or more voxel characteristic distributed over the regions of interest, and wherein the target tissue is one of brain, nerve, skeletal, skeletal muscle, liver, kidney, lung, pancreatic, endocrine, gastrointestinal and/or genitourinary tissue.

11. The workstation of claim 1, wherein the patient images comprise non-contrast agent based MRI image slices, and wherein the circuit is configured to analyze the MRI image slices to generate the image.

12. The workstation of claim 1, wherein the circuit is configured to analyze MRI image data obtained from contrast-agent based MRI image slices to generate the image.

13. The workstation of claim 1, wherein the one or more voxel characteristic includes a shape of a histogram.

14. The workstation of claim 1, wherein the generated image visually emphasizes abnormal tissue characteristics and/or function using the measure of the one or more voxel characteristic and an associated x, y and z coordinate to thereby provide an early detection of a global injury.

15. The workstation of claim 1, wherein the patient images comprise cardiac MRI image slices, and wherein the target tissue is cardiac tissue and the generated image is a 3-D image of the heart.

16. The workstation of claim 15, wherein the measure of the one or more voxel characteristics includes quantified measures of voxel intensity, and wherein the generated image visually accentuates regions of impaired or dead cells in graduated shades of color or different colors for different voxel intensities.

17. The workstation of claim 1, wherein the patient images comprise cardiac MRI image slices, wherein the target tissue is cardiac tissue and the generated image is a 3-D image of a patient'"'"'s heart, and wherein the generated image visualizes cell injury associated with inflammation or accumulation of water around cells in the heart which can inhibit contractility and impair cardiac function.

18. The workstation of claim 1, wherein the measure of the one or move voxel characteristic includes a measure of voxel intensity, wherein the patient images comprise MRI image slices, wherein the target tissue is cardiac tissue and the generated image is a 3-D image of the heart, and wherein the circuit is configured to generate the image to visually show location and voxels with intensity measures, with like values having like colors.

19. The workstation of claim 1, wherein the patient images comprise MRI image slices, wherein the patient image slices include slices of an apical, middle and basal portion of the heart.

20. The workstation of claim 1, wherein the patient images comprise MRI image slices, and wherein the circuit is configured to render the generated image to quantify a presence of a target or molecular process and/or define metabolic pathways that are functioning within tissue in an organ system.

21. The workstation of claim 1, wherein the circuit is configured to determine whether the global injury is associated with an increased risk of cardiac injury associated with a decrease in heart function.

22. The workstation of claim 1, wherein the patient images comprise cardiac MRI image slices, and wherein the global injury in the generated image is at least one of the following:

a radiation-induced global injury, an environmental exposure-induced global injury, a venom-induced global injury, or a drug- or toxin-induced global injury.

23. The workstation of claim 1, wherein the patient images comprise cardiac Magnetic Resonance (cMR) images, wherein the circuit is configured to electronically interrogate substantially all voxels within a contiguous series of short axis slice positions spanning an apex to a base in the cMR images and identify the measure of the one or more voxel characteristic and a corresponding x, y and z coordinate of each respective voxel in three-dimensional space, and wherein the generated image is a non-invasive biopsy image of the patient'"'"'s heart.

24. The workstation of claim 1, wherein the circuit is configured to electronically distinguish cardiac injury associated with myocardial infarct from cardiac injury associated with cardiotoxicity.