System, method and computer program product for extracting quantitative summaries of information from images

• US 20020067858A1
• Filed: 05/17/2001
• Published: 06/06/2002
• Est. Priority Date: 05/17/2000
• Status: Abandoned Application

• Current Assignee: University of South Florida (State University System of Florida)
• Original Assignee: University of South Florida (State University System of Florida)
• Inventors: Lazaridis, Emmanuel
• Application Number:
  US09/858,977
• Publication Number:
  US 20020067858A1
• Time in Patent Office: Days
• US Class Current: 382/228
• CPC Class Codes: G06T 2207/10056 Microscopic image
• CPC Class Codes: G06T 2207/30072 Microarray; Biochip, DNA array; Well plate
• CPC Class Codes: G06T 7/00 Image analysis
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/11 Region-based segmentation
• CPC Class Codes: G06T 7/143 involving probabilistic approaches, e.g. Markov random field [MRF] modelling

Abstract

A system, process, and computer program product for extracting quantitative summaries of information from digital images includes performing a first image analysis and one or more additional image analyses. The first image analysis comprises quantitating an image to obtain data from the image. Similarly, the one or more additional image analyses comprise modifying the first image analysis or replacing the first image analysis with one or more other image analyses, and wherein performing the one or more additional image analyses comprises quantitating the image to obtain data which may differ from the first image analysis. In addition, the present invention includes performing a mathematical analysis following completion of the first and the one or more additional image analyses on the data obtained from the first image analysis and from the one or more additional image analyses, or performing a mathematical analysis after each image analysis on the data obtained from the first image analysis and from the one or more additional image analyses, wherein the mathematical analysis comprises producing one or more inferences from the data obtained above, wherein the one or more inferences comprise quantitative summaries of information derived from the data. In this manner, the present invention combines imaging and mathematical analysis in a single process. Consequently, imaging analysis is advantageously not segregated from mathematical analysis.

Claims

1. A computer-implemented method for extracting quantitative summaries of information from digital images, said method comprising the steps of:

(a) performing a first image analysis and one or more additional image analyses, wherein said first image analysis comprises quantitating an image to obtain data from the image, and said one or more additional image analyses comprise modifying said first image analysis or replacing said first image analysis with one or more other image analyses, and wherein performing said one or more additional image analyses comprises quantitating said image to obtain data which may differ from said first image analysis; and

(b) performing a mathematical analysis following completion of said first and said one or more additional image analyses on said data obtained from said first image analysis and from said one or more additional image analyses, or performing a mathematical analysis after each image analysis in step (a) on said data obtained from said first image analysis or from said one or more additional image analyses, wherein said mathematical analysis comprises producing one or more inferences from said data obtained in step (a), said one or more inferences comprising quantitative summaries of information derived from said data.

2. The computer-implemented method of claim 1, further comprising combining two or more mathematical analyses of step (b) to produce one or more combined inferences from said data.

3. The computer-implemented method of claim 1, wherein said performing said first image analysis and said one or more additional image analyses comprise utilizing one or more quantitation algorithms to obtain data from said image.

4. The computer-implemented method of claim 3, wherein said one or more quantitation algorithms comprise calculating and reporting summary statistics on pixel data of said image.

5. The computer-implemented method of claim 1, wherein said performing said first image analysis and said one or more additional image analyses comprise utilizing one or more quantitation algorithms to obtain data from said image, and wherein each of said first image analysis and said one or more additional image analyses additionally comprises one or more of:

an image refining algorithm which manipulates pixel data of an original image to obtain a modified image;

a geometrization algorithm which establishes a set of regions of interest on said image, which regions of interest delineate a subset of pixels in said image; and

a labeling algorithm which assigns labels to data obtained from said image using a quantitation algorithm, which data may be associated with regions of interest.

6. The computer-implemented method of claim 5, wherein said geometrization algorithm comprises one or more of:

manual or user-interactive specification of regions of interest, edge detection algorithms, algorithms employing pixel intensity cut-off parameters.

7. The computer-implemented method of claim 5, wherein said labeling algorithm comprises one or more of:

manual or user-interactive assignment of labels, importing from an external map.

8. The computer-implemented method of claim 5, wherein said image refining algorithm comprises one or more of:

changing an intensity distribution of pixels in the image, changing image properties including hue, saturation, contrast, brightness, tint, color, scale, morphing the image, or reducing image noise.

11. The computer-implemented method of claim 1, wherein said method is implemented on a server connected to one or more remotely located computing nodes via a communications network, wherein said method is accessible by said one or more remotely located computing nodes.

13. The computer program product of claim 12, further comprising instructions for combining two or more mathematical analyses of step (b) to produce one or more combined inferences from said data.

14. The computer program product of claim 12, wherein said performing said first image analysis and said one or more additional image analyses comprise utilizing one or more quantitation algorithms to obtain data from said image.

15. The computer program product of claim 14, wherein said one or more quantitation algorithms comprise calculating and reporting summary statistics on pixel data of said image.

16. The computer program product of claim 12, wherein said performing said first image analysis and said one or more additional image analyses comprise utilizing one or more quantitation algorithms to obtain data from said image, and wherein each of said first image analysis and said one or more additional image analyses additionally comprises one or more of:

an image refining algorithm which manipulates pixel data of an original image to obtain a modified image;

a geometrization algorithm which establishes a set of regions of interest on said image, which regions of interest delineate a subset of pixels in said image; and

a labeling algorithm which assigns labels to data obtained from said image using a quantitation algorithm, which data may be associated with regions of interest.

17. The computer program product of claim 16, wherein said geometrization algorithm comprises one or more of:

manual or user-interactive specification of regions of interest, edge detection algorithms, algorithms employing pixel intensity cut-off parameters.

18. The computer program product of claim 16, wherein said labeling algorithm comprises one or more of:

manual or user-interactive assignment of labels, importing from an external map.

19. The computer program product of claim 16, wherein said image refining algorithm comprises one or more of:

changing an intensity distribution of pixels in the image, changing image properties including hue, saturation, contrast, brightness, tint, color, scale, morphing the image, or reducing image noise.

22. The computer program product of claim 12, wherein said computer program product is implementable on a server connected to one or more remotely located computing nodes via a communications network.

24. The computer system of claim 23, wherein said computer system is further capable of implementing the function of combining two or more mathematical analyses of step (b) to produce one or more combined inferences from said data.

25. The computer system of claim 23, wherein said performing said first image analysis and said one or more additional image analyses comprise utilizing one or more quantitation algorithms to obtain data from said image.

26. The computer system of claim 25, wherein said one or more quantitation algorithms comprise calculating and reporting summary statistics on pixel data of said image.

27. The computer system of claim 23, wherein said performing said first image analysis and said one or more additional image analyses comprise utilizing one or more quantitation algorithms to obtain data from said image, and wherein each of said first image analysis and said one or more additional image analyses additionally comprises one or more of:

an image refining algorithm which manipulates pixel data of an original image to obtain a modified image;

a geometrization algorithm which establishes a set of regions of interest on said image, which regions of interest delineate a subset of pixels in said image; and

a labeling algorithm which assigns labels to data obtained from said image using a quantitation algorithm, which data may be associated with regions of interest.

28. The computer system of claim 27, wherein said geometrization algorithm comprises one or more of:

manual or user-interactive specification of regions of interest, edge detection algorithms, algorithms employing pixel intensity cut-off parameters.

29. The computer system of claim 27, wherein said labeling algorithm comprises one or more of:

manual or user-interactive assignment of labels, importing from an external map.

30. The computer system of claim 27, wherein said image refining algorithm comprises one or more of:

changing an intensity distribution of pixels in the image, changing image properties including hue, saturation, contrast, brightness, tint, color, scale, morphing the image, or reducing image noise.

33. The computer system of claim 23, wherein said system further comprises a server connectable to one or more remotely located computing nodes via a communications network.

35. The computer system of claim 34, further comprising means for combining two or more mathematical analyses to produce one or more combined inferences from said data.

9. The computer-implemented method of 1, wherein said performing each of said mathematical analyses of step (b) comprises:

(a) specifying a mathematical or statistical model for said data derived from said image;

(b) estimating parameters of said mathematical or statistical model; and

(c) producing said inferences from said parameter estimates.

10. The computer-implemented method of claim 9, wherein said mathematical or statistical model comprises one of:

analysis of variance (ANOVA), regression, latent class analysis, or statistical models.

12. A computer program product for extracting quantitative summaries of information from digital images, comprising:

a memory medium;

a computer program stored on said medium, said program containing instructions for;

(a) performing a first image analysis and one or more additional image analyses, wherein said first image analysis comprises quantitating an image to obtain data from the image, and said one or more additional image analyses comprise modifying said first image analysis or replacing said first image analysis with one or more other image analyses, and wherein performing said one or more additional image analyses comprises quantitating said image to obtain data which may differ from said first image analysis; and

(b) performing a mathematical analysis following completion of said first and said one or more additional image analyses on said data obtained from said first image analysis and from said one or more additional image analyses, or performing a mathematical analysis after each image analysis in step (a) on said data obtained from said first image analysis or from said one or more additional image analyses, wherein said mathematical analysis comprises producing one or more inferences from said data obtained in step (a), said one or more inferences comprising quantitative summaries of information derived from said data.

20. The computer program product of 12, wherein said performing each of said mathematical analyses of step (b) comprises:

(a) specifying a mathematical or statistical model for said data derived from said image;

(b) estimating parameters of said mathematical or statistical model; and

(c) producing said inferences from said parameter estimates.

21. The computer program product of claim 20, wherein said mathematical or statistical model comprises one of:

analysis of variance (ANOVA), regression, latent class analysis, or statistical models.

23. A computer system capable of extracting quantitative summaries of information from digital images, said system comprising:

a processor, and a memory medium accessible by said processor, said computer system implementing the functions of;

(a) performing a first image analysis and one or more additional image analyses, wherein said first image analysis comprises quantitating an image to obtain data from the image, and said one or more additional image analyses comprise modifying said first image analysis or replacing said first image analysis with one or more other image analyses, and wherein performing said one or more additional image analyses comprises quantitating said image to obtain data which may differ from said first image analysis; and

(b) performing a mathematical analysis following completion of said first and said one or more additional image analyses on said data obtained from said first image analysis and from said one or more additional image analyses, or performing a mathematical analysis after each image analysis in step (a) on said data obtained from said first image analysis or from said one or more additional image analyses, wherein said mathematical analysis comprises producing one or more inferences from said data obtained in step (a), said one or more inferences comprising quantitative summaries of information derived from said data.

31. The computer system of 23, wherein said performing each of said mathematical analyses of step (b) comprises:

(a) specifying a mathematical or statistical model for said data derived from said image;

(b) estimating parameters of said mathematical or statistical model; and

(c) producing said inferences from said parameter estimates.

32. The computer system of claim 31, wherein said mathematical or statistical model comprises one of:

analysis of variance (ANOVA), regression, latent class analysis, or statistical models.

34. A computer system for extracting quantitative summaries of information from digital images, comprising:

means for performing a first image analysis and one or more additional image analyses, wherein said first image analysis comprises quantitating an image to obtain data from the image, and said one or more additional image analyses comprise modifying said first image analysis or replacing said first image analysis with one or more other image analyses, and wherein performing said one or more additional image analyses comprises quantitating said image to obtain data which may differ from said first image analysis; and

means for performing a mathematical analysis following completion of said first and said one or more additional image analyses on said data obtained from said first image analysis and from said one or more additional image analyses, or performing a mathematical analysis after each image analysis on said data obtained from said first image analysis or from said one or more additional image analyses, wherein said mathematical analysis comprises producing one or more inferences from said obtained data, said one or more inferences comprising quantitative summaries of information derived from said data.