SYSTEM AND METHOD FOR ON-DEMAND VISUAL ENHANCEMENT OF CLINICAL CONITIONS IN IMAGES

• US 20080025583A1
• Filed: 07/27/2006
• Published: 01/31/2008
• Est. Priority Date: 07/27/2006
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Jabri, Kadri Nizar, Sirohey, Saad Ahmed, Avinash, Gopal B., Uppaluri, Renuka
• Application Number:
  US11/460,315
• Publication Number:
  US 20080025583A1
• Time in Patent Office: Days
• US Class Current: 382/128
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 5/00 Image enhancement or restoration
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G16H 40/63 for local operation

Abstract

A system and method for enhancing visualization of clinical conditions comprising receiving imaging data on a subject from an imaging modality, receiving user input on at least one suspected clinical condition of the subject undergoing imaging on the imaging modality, and processing the imaging data in association with a knowledgebase using an optimal image processing algorithm to enhance visualization of the at least one suspected clinical condition in at least one image.

Claims

1. A method for enhancing visualization of clinical conditions comprising:

receiving imaging data on a subject from an imaging modality;

receiving user input on at least one suspected clinical condition of the subject undergoing imaging on the imaging modality; and

processing the imaging data in association with a knowledgebase using an optimal image processing algorithm to enhance visualization of the at least one suspected clinical condition in at least one image.

2. The method of claim 1, wherein the steps of receiving user input and processing the imaging data are repeated based on second and subsequent suspected clinical conditions.

3. The method of claim 1, wherein the imaging data includes imaging type, protocol and/or technique information.

4. The method of claim 1, wherein the imaging data includes images whose acquisition technique was optimized for detecting a specific clinical condition.

5. The method of claim 1, wherein the knowledgebase includes a plurality of clinical conditions, and a plurality of associated algorithms and a plurality of algorithm parameters for the plurality of clinical conditions.

6. A method for enhancing visualization of a clinical condition in a medical image comprising:

receiving clinical data on a subject undergoing imaging on an imaging modality;

acquiring imaging data on the subject from the imaging modality; and

processing the clinical data and the imaging data in association with a knowledgebase using an optimal image processing algorithm with optimal parameter settings for enhancing visualization of at least one clinical condition in at least one image.

7. The method of claim 6, further comprising selecting at least one clinical condition for enhanced visualization in at least one image.

8. The method of claim 7, wherein the at least one clinical condition for enhanced visualization is selected by a user from a list of clinical conditions presented to the user at a user interface.

9. The method of claim 7, wherein the at least one clinical condition for enhanced visualization is selected automatically by a selection algorithm based on the subject'"'"'s clinical data, prior medical history and/or suspect clinical condition.

10. The method of claim 6, wherein the clinical data includes a repository of the subject'"'"'s medical data, including the subject'"'"'s personal medical history, current physical state and/or present medical condition.

11. The method of claim 6, wherein the clinical data includes an electronic medical record (EMR) of the subject.

12. The method of claim 6, wherein the optimal image processing algorithm includes one or more of detection, segmentation, registration, and enhancement of the at least one clinical condition.

13. The method of claim 6, wherein the imaging data includes imaging type, protocol and/or technique information.

14. The method of claim 6, wherein the imaging data includes images whose acquisition technique was optimized for detecting a specific clinical condition.

15. The method of claim 6, wherein the knowledgebase includes a plurality of clinical conditions, and a plurality of associated algorithms and a plurality of algorithm parameters for the plurality of clinical conditions.

16. A system for enhancing visualization of clinical conditions comprising:

an input for receiving imaging data on a subject from an imaging modality;

a user interface for receiving user input on at least one suspected clinical condition of the subject undergoing imaging on an imaging modality; and

a processor coupled to the input and the user interface for processing the imaging data in association with a knowledgebase using an optimal image processing algorithm to enhance visualization of the at least one suspected clinical condition in at least one image.

17. The system of claim 16, further comprising a display coupled to the processor for displaying the enhanced visualization of the at least one suspected clinical condition in the at least one image.

18. The system of claim 16, further comprising a second input coupled to the processor for receiving clinical data on the subject.

19. The system of claim 18, wherein the processor includes at least one storage device for storing the clinical data, the imaging data and the knowledgebase.

20. The system of claim 16, wherein the processor is coupled to a network.

21. The system of claim 20, further comprising at least one picture archiving and communication system (PACS) workstation coupled to the network for reviewing the enhanced visualization of the at least one suspected clinical condition in at least one image.

22. The system of claim 16, wherein the input, the user interface and the processor comprise an acquisition workstation.

23. A system for enhancing visualization of clinical conditions comprising:

an acquisition workstation coupled to and receiving imaging data on a patient from an imaging modality, the acquisition workstation including a user interface for performing on-demand selection of at least one clinical condition to be enhanced in at least one image, and a computer coupled to the input and the user interface with at least one computer-usable medium having computer readable instructions stored thereon for execution by a processor, the computer performing a method comprising;

accessing clinical data on the patient undergoing imaging;

receiving imaging data from the imaging modality; and

processing the clinical data and the imaging data in association with a knowledgebase using an optimal image processing algorithm with optimal parameter settings to enhance visualization of a selected clinical condition in an image.

24. The system of claim 23, wherein the acquisition workstation is coupled to a network.

25. The system of claim 24, further comprising at least one picture archiving and communication system (PACS) workstation coupled to the network for reviewing the enhanced visualization of the selected clinical condition in the image.

26. The system of claim 23, wherein the acquisition workstation includes a display for reviewing the enhanced visualization of the selected clinical condition in the image.

27. The system of claim 26, wherein the display displays a list of clinical conditions to select from.

28. A computer program product for use with a computer, the computer program product comprising a computer-usable medium having computer readable instructions stored thereon for execution by a processor, the computer readable instructions comprising:

an accessing routine for accessing clinical data on a subject undergoing imaging on an imaging modality;

a receiving routing for receiving imaging data on the subject from the imaging modality; and

a processing routine for processing the clinical data and the imaging data in association with a knowledgebase using an optimal image processing algorithm with optimal parameter settings to enhance visualization of at least one clinical condition in at least one image.