METHODS AND APPARATUS FOR CONTEXT-SENSITIVE TELEMEDICINE

• US 20090228299A1
• Filed: 11/09/2006
• Published: 09/10/2009
• Est. Priority Date: 11/09/2005
• Status: Abandoned Application

• Current Assignee: Regents of the University of California (University of California)
• Original Assignee: Regents of the University of California (University of California)
• Inventors: Taira, Ricky, Bui, Alexander, Kangarloo, Hooshang, Sinha, Usha
• Application Number:
  US12/092,687
• Publication Number:
  US 20090228299A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A system for context-sensitive medical communication is described. Patient presentation data is obtained, the patient presentation data is mapped to biological system data, wherein the biological system data are obtained by a population-based comparison, and a relevance-driven summary is generated. Following the primary read, the study can be compressed and transmitted remotely, such as in teleconsultation described below. The imaging study can be provided by patient presentation mapping to medical nomenclature, and mapping the patient study to an appropriate normalized atlas which has been created by averaging and morphing as well as quantification and providing labels which have come from data mining of reports.

Claims

1. A method for processing context-sensitive patient data, the method comprising:

obtaining patient presentation data;

mapping the patient presentation data to biological system data, wherein the biological system data are obtained by a population-based comparison; and

generating a relevance-driven summary.

2. A method according to claim 1, further comprising communicating the relevance-driven summary, wherein the relevance driven summary is tailored to a set of user-defined inputs.

3. A method in a data processing system for context-sensitive medical communication, the method comprising:

obtaining a patient presentation;

mapping the patient presentation to a standard nomenclature;

generating a list of relevant anatomical structures based on the patient presentation;

delineating known biological system anatomical structures;

generating a relevance-driven summary by combining relevant structures and delineated contours; and

transmitting the summary to a remote location via a network.

4. A computer-readable medium having a program that performs a method for context-sensitive medical communication, the method comprising:

obtaining a patient presentation;

mapping the patient presentation to a standard nomenclature;

generating a list of relevant anatomical structures based on the patient presentation;

delineating known anatomical structures;

generating a relevance-driven summary by combining relevant structures and delineated contours; and

transmitting the summary to a remote location via a network.

5. A data processing system comprising:

a memory having a program that obtains a patient presentation, maps the patient presentation to a standard nomenclature, generates a list of relevant anatomical structures based on the patient presentation, delineates known anatomical structures, generates a relevance-driven summary by combining relevant structures and delineated contours, and transmits the summary to a remote location via a network; and

a processing unit that runs the program.

6. A method for producing a normalized anatomical atlas, the method comprising:

comparing and summarizing image data of multiple normal subjects; and

labeling the summarized image data with labels derived from data mining of imaging reports using natural language processing.

7. An apparatus for context-sensitive patient data, the method comprising:

an imaging apparatus configured to obtain one or more images of a patient;

one or more first computers configured to map patient presentation data and said one or more images to biological system data obtained by a population-based comparison and generating a relevance-driven summary; and

at least one display system configured to display said relevance-driven summary for diagnostic use by a physician.

8. The apparatus of claim 7, wherein said one or more first computers are configured to generate said relevance-drive summary at least in part tailored to a set of user-defined inputs.

9. An apparatus for context-sensitive medical communication, comprising:

a first computer configured to obtain patient images;

one or more second computers configured to map patient presentation data to a standard nomenclature, generate a list of relevant anatomical structures based on the patient presentation, delineate one or more biological system anatomical structures in at least one of said patient images, and generating a relevance-driven summary by combining relevant structures and delineated contours; and

a display computer configured to receive said relevance-driven summary via a network and display at least a portion of said relevance-driven summary.

10. A method, comprising:

inputting patient presentation data into a computer;

using a natural language processing module to map said patient presentation data to a standard nomenclature;

generating a list of relevant anatomical structures based, at least in part, on data from said natural language processor;

delineating one or more of said relevant anatomical structures from one or more medical images;

delineating contours of at least one of said relevant anatomical structures;

generating a relevance-driven summary using, at least in part, said contours; and

transmitting said relevance-driven summary to a computer via a computer network.

11. The method of claim 10, wherein said natural language processing comprises:

section boundary detection;

sentence boundary detection;

lexical analysis;

phrase chunking; and

semantic interpretation.

12. The method of claim 10, further comprising selecting said one or more medical images from a collection of images by selecting a relevant image slice.

13. The method of claim 10, further comprising generating a structural map that correlates anatomical features according to at least one of containment, spatial adjacency and connectivity.

14. The method of claim 10, further comprising generating a symptom map that relates anatomical terms to one or more symptoms.

15. The method of claim 10, further comprising generating a condition map that relates anatomical terms to one or more medical conditions.

16. The method of claim 10, further comprising generating an imaging map that lists one or more images of an imaging sequence.

17. The method of claim 10, further comprising selecting said one or more images at least in part based on an image contrast.

18. The method of claim 10, further comprising contrast matching of one or more of said images.

19. The method of claim 10, further comprising intensity matching of one or more of said images.

20. The method of claim 10, further comprising registration of said one or more of said images with images from an atlas.

21. The method of claim 20, further comprising registration of said one or more of said images with images from an atlas according to selection rules in a knowledge base.

22. The method of claim 20, wherein said registration comprises registration by principal axis.

23. The method of claim 20, wherein said registration comprises computing a three-dimensional voxel intensity-based affine transformation.

24. The method of claim 20, wherein said registration comprises computing local deformation based on an optical flow model.