Personal human anatomy card and methods and systems for producing same

• US 5,597,182 A
• Filed: 09/26/1995
• Issued: 01/28/1997
• Est. Priority Date: 09/26/1995
• Status: Expired due to Fees

• Current Assignee: Amersham Biosciences (General Electric Company)
• Original Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Inventors: Reber, William L., Perttunen, Cary D.
• Primary Examiner(s): Fridie, Jr., Willmon
• Application Number:
  US08/533,825
• Time in Patent Office: 490 Days
• Field of Search: 283/67, 283/70, 283/74, 283/75, 283/76, 283/78, 283/107, 283/109, 283/900
• US Class Current: 283/67
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 5/1171 based on the shapes or appearances of their bodies or parts thereof
• CPC Class Codes: A61B 5/7232 involving compression of the physiological signal, e.g. to extend the signal recording period
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: A61B 6/03 Computed tomography [CT] echo-tomography A61B8/14
• CPC Class Codes: A61B 6/037 Emission tomography
• CPC Class Codes: A61B 8/13 Tomography A61B8/10, A61B8/12 take precedence; tomography for radiation diagnosis A61B6/02
• CPC Class Codes: B42D 2033/46 with electrical circuitry
• CPC Class Codes: B42D 25/00 Information-bearing cards or sheet-like structures characterised by identification or security features; Manufacture thereof printing processes to produce identification or security features B41M3/14
• CPC Class Codes: B42D 25/28 for use in medical treatment or therapy
• CPC Class Codes: G16H 10/65 stored on portable record carriers, e.g. on smartcards, RFID tags or CD
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: H04N 19/46 Embedding additional information in the video signal during the compression process H04N19/517, H04N19/68, H04N19/70 take precedence
• CPC Class Codes: H04N 19/99 involving fractal coding
• CPC Class Codes: Y10S 283/90 Medical record

Abstract

A personal anatomy card includes a card member and a machine-readable storage medium integrated in the card member. Machine-readable data including compressed data representative of a three-dimensional model of a portion of the individual is stored on the machine-readable storage medium. The three-dimensional model is formed by tomographically creating a plurality of two-dimensional cross-sectional images of a portion of the individual, processing the plurality of two-dimensional cross-sectional images to form data representative of the three-dimensional model, and compressing the data to form the compressed data. Optionally, a three-dimensional data player is integrated in the card member. The three-dimensional data player includes a display device, a user interface, and a processor. The processor is operative to decode the compressed data in dependence upon navigation instructions received by the user interface to command the display device to display a selected portion of the three-dimensional model.

Claims

1. A method of producing a personal human anatomy card for an individual, the method comprising the steps of:

(a) providing a card member having a machine-readable storage medium integrated therein;

(b) tomographically creating a plurality of two-dimensional cross-sectional images of a portion of the individual;

(c) processing the plurality of two-dimensional cross-sectional images to form data representative of a three-dimensional model of the portion of the individual;

(d) compressing the data to form compressed data representative of the three-dimensional model; and

(e) storing the compressed data in a machine-readable form on the machine-readable storage medium of the card member.

2. The method of claim 1 further comprising the step of integrating a three-dimensional data player in the card member, the three-dimensional data player for navigating the three-dimensional model.

3. The method of claim 2 wherein the step of integrating the three-dimensional data player includes integrating a display device, a user interface, and a processor in the card member, the processor operative to decode the compressed data in dependence upon navigation instructions received by the user interface to command the display device to display a selected portion of the three-dimensional model.

4. The method of claim 2 wherein the data is compressed in step (d) using a fractal compression algorithm, and wherein the three-dimensional data player provides a fractal zoom of the three-dimensional model.

5. The method of claim 1 wherein step of processing includes:

segmenting the plurality of two-dimensional cross-sectional images to isolate a plurality of anatomical objects; and

forming the three-dimensional model based on at least one of the plurality of anatomical objects.

6. The method of claim 1 wherein the three-dimensional model formed in step (c) includes a plurality of volume elements, and wherein the step of compressing includes:

partitioning the plurality of volume elements into a plurality of ranges;

for each range of the plurality of ranges, determining a corresponding domain of the plurality of volume elements and a corresponding mapping to represent the range within a predetermined error tolerance; and

encoding the corresponding domain and the corresponding mapping for each of the plurality of ranges to form the compressed data.

7. The method of claim 1 wherein the three-dimensional model formed in step (c) includes a plurality of picture elements from the plurality of two-dimensional cross-sectional images, and wherein the step of compressing includes:

partitioning the plurality of picture elements into a plurality of ranges;

for each range of the plurality of ranges, determining a corresponding domain of the plurality of picture elements and a corresponding mapping to represent the range within a predetermined error tolerance, wherein one of the plurality of ranges and its corresponding domain are from different ones of the plurality of two-dimensional cross-sectional images; and

encoding the corresponding domain and the corresponding mapping for each of the plurality of ranges to form the compressed data.

8. The method of claim 1 further comprising the step of storing identification information in a machine-readable form on the machine-readable storage medium, the identification information for identifying the individual.

9. The method of claim 1 wherein the card member includes a PCMCIA card.

10. The method of claim 1 wherein the card member is sized for carrying on the individual.

11. A personal human anatomy card for an individual, the personal human anatomy card comprising:

a card member;

a machine-readable storage medium integrated in the card member; and

machine-readable data stored on the machine-readable storage medium, the machine-readable data including compressed data representative of a three-dimensional model of a portion of the individual formed by;

tomographically creating a plurality of two-dimensional cross-sectional images of a portion of the individual;

processing the plurality of two-dimensional cross-sectional images to form three-dimensional data representative of the three-dimensional model; and

compressing the three-dimensional data to form the compressed data.

12. The personal human anatomy card of claim 11 further comprising a three-dimensional data player integrated in the card member, the three-dimensional data player for navigating the three-dimensional model.

13. The personal human anatomy card of claim 12 wherein the three-dimensional data player includes a display device, a user interface, and a processor all integrated in the card member, the processor operative to decode the compressed data in dependence upon navigation instructions received by the user interface to command the display device to display a selected portion of the three-dimensional model.

14. The personal human anatomy card of claim 12 wherein the three-dimensional data is compressed using a fractal compression algorithm, and wherein the three-dimensional data player provides a fractal zoom of the three-dimensional model.

15. The personal human anatomy card of claim 11 wherein processing the plurality of two-dimensional cross-sectional images includes:

segmenting the plurality of two-dimensional cross-sectional images to isolate a plurality of anatomical objects; and

forming the three-dimensional model based on at least one of the plurality of anatomical objects.

16. The personal human anatomy card of claim 11 wherein the three-dimensional model includes a plurality of volume elements, and wherein compressing the data includes:

partitioning the plurality of volume elements into a plurality of ranges;

for each range of the plurality of ranges, determining a corresponding domain of the plurality of volume elements and a corresponding mapping to represent the range within a predetermined error tolerance; and

encoding the corresponding domain and the corresponding mapping for each of the plurality of ranges to form the compressed data.

17. The personal human anatomy card of claim 11 wherein the three-dimensional model includes a plurality of picture elements from the plurality of two-dimensional cross-sectional images, and wherein compressing the data includes:

partitioning the plurality of picture elements into a plurality of ranges;

for each range of the plurality of ranges, determining a corresponding domain of the plurality of picture elements and a corresponding mapping to represent the range within a predetermined error tolerance, wherein one of the plurality of ranges and its corresponding domain are from different ones of the plurality of two-dimensional cross-sectional images; and

encoding the corresponding domain and the corresponding mapping for each of the plurality of ranges to form the compressed data.

18. The personal human anatomy card of claim 11 wherein the machine-readable data includes identification information for identifying the individual.

19. The personal human anatomy card of claim 11 wherein the card member includes a PCMCIA card.

20. The personal human anatomy card of claim 11 wherein the card member is sized for carrying on the individual.

21. A system for producing a personal human anatomy card for an individual, the system comprising:

a tomographic imaging system which tomographically creates a plurality of two-dimensional cross-sectional images of a portion of the individual;

an image processor which processes the plurality of two-dimensional cross-sectional images to form data representative of a three-dimensional model of the portion of the individual;

a data compressor which compresses the data to form compressed data representative of the three-dimensional model; and

means for storing the compressed data in a machine-readable form on a machine-readable storage medium integrated in a card member.

22. The system of claim 21 wherein the image processor is operative to segment the plurality of two-dimensional cross-sectional images to isolate a plurality of anatomical objects, and form the three-dimensional model based on at least one of the plurality of anatomical objects.

23. The system of claim 21 wherein the three-dimensional model formed by the image processor includes a plurality of volume elements, and wherein the data compressor performs the steps of:

partitioning the plurality of volume elements into a plurality of ranges;

for each range of the plurality of ranges, determining a corresponding domain of the plurality of volume elements and a corresponding mapping to represent the range within a predetermined error tolerance; and

encoding the corresponding domain and the corresponding mapping for each of the plurality of ranges to form the compressed data.

24. The system of claim 21 wherein the three-dimensional model formed by the image processor includes a plurality of picture elements from the plurality of two-dimensional cross-sectional images, and wherein the data compressor performs the steps of:

partitioning the plurality of picture elements into a plurality of ranges;

for each range of the plurality of ranges, determining a corresponding domain of the plurality of picture elements and a corresponding mapping to represent the range within a predetermined error tolerance, wherein one of the plurality of ranges and its corresponding domain are from different ones of the plurality of two-dimensional cross-sectional images; and

encoding the corresponding domain and the corresponding mapping for each of the plurality of ranges to form the compressed data.

25. The system of claim 21 further comprising means for storing identification information in a machine-readable form on the machine-readable storage medium, the identification information for identifying the individual.

26. The system of claim 21 wherein the card member includes a PCMCIA card.