Method and system for enhancement and detection of abnormal anatomic regions in a digital image

• US 4,907,156 A
• Filed: 06/30/1987
• Issued: 03/06/1990
• Est. Priority Date: 06/30/1987
• Status: Expired due to Term

• Current Assignee: University of Chicago
• Original Assignee: University of Chicago
• Inventors: Chan, Heang-Ping, Giger, Maryellen L., Doi, Kunio
• Primary Examiner(s): Jablon, Clark A.
• Application Number:
  US07/068,221
• Time in Patent Office: 980 Days
• Field of Search: 382/6, 382/19, 382/22, 382/54, 378/99, 358/111, 358/167, 364/414, 364/413.13, 364/413.22, 364/413.23
• US Class Current: 382/130
• CPC Class Codes: G06T 2207/30064 Lung nodule
• CPC Class Codes: G06T 5/75 Unsharp masking
• CPC Class Codes: G06T 7/0002 Inspection of images, e.g. flaw detection
• CPC Class Codes: G06T 7/0012 Biomedical image inspection

Abstract

A method and system for detecting and displaying abnormal anatomic regions existing in a digital X-ray image, wherein a single projection digital X-ray image is processed to obtain signal-enhanced image data with a maximum signal-to-noise ratio (SNR) and is also processed to obtain signal-suppressed image data with a suppressed SNR. Then, difference image data are formed by subtraction of the signal-suppressed image data from the signal-enhanced image data to remove low-frequency structured anatomic background, which is basically the same in both the signal-suppressed and signal-enhanced image data. Once the structured background is removed, feature extraction, is performed. For the detection of lung nodules, pixel thresholding is performed, followed by circularity and/or size testing of contiguous pixels surviving thresholding. Threshold levels are varied, and the effect of varying the threshold on circularity and size is used to detect nodules. For the detection of mammographic microcalcifications, pixel thresholding and contiguous pixel area thresholding are performed. Clusters of suspected abnormalities are then detected.

Claims

1. A method for automated detection and indication of an abnormal anatomic region using a digital image, comprising the step of:

generating a single digital image of an object;

storing said single image;

filtering said stored single image to remove anatomic background derived from normal anatomic structure and thereby to enhance in the resulting filtered image an abnormal pattern corresponding to an abnormal anatomic region;

searching said filtered image to determine a region having said abnormal pattern in said digital image; and

indicating the position of said abnormal anatomic region in connection with said digital image.

2. The method as defined by claim 1, wherein said step of filtering the stored digital image includes a step of signal-to-noise ratio (SNR) suppressing filtering of said stored image signal, and a step of SNR enhancing filtering of said stored image signal, a step of producing a difference image between said SNR-suppressed image and said SNR-enhanced image.

3. The method as defined in claim 2, wherein said searching step comprises:

determining which of the pixels of the difference image exceed a predetermined amplitude threshold value;

identifying contiguous pixels determined by said determining step as discrete islands;

determining at least one of the circularity and the size of said islands; and

identifying an abnormality by comparing at least one of the circularity and size of said islands against predetermined criteria.

4. The method as defined in claim 2, wherein said searching step comprises:

determining which of the pixels of the difference image exceed a predetermined amplitude threshold value;

identifying contiguous pixels determined by said determining step as discrete islands;

determining which of the identified islands include at least a minimum predetermined number of contiguous pixels; and

determining whether the islands which are determined to have at least said minimum number of contiguous pixels meet predetermined clusterization criteria.

5. The method as defined in claim 2, wherein said step of searching comprises:

determining which of the image pixels of the difference image have a value exceeding a predetermined threshold value;

measuring predetermined features of contiguous image pixels identified in said determining step; and

identifying the abnormal anatomic region based on the features measured in said measuring step.

6. The method as defined in claim 5, wherein said measuring step comprises:

measured predetermined geometric parameters of said contiguous image pixels identified in said thresholding step.

7. The method according to claim 6, wherein the predetermined geometric parameter measured in said measuring steps include circularity and size.

8. The method as defined in claim 2, wherein said step of searching comprises:

determining which of the image pixels of the difference image have a value exceeding a predetermined threshold value;

repeating said thresholding step at varied predetermined threshold values;

measuring, for each performance of said determining step, predetermined features of contiguous image pixels identified in each said measuring step;

determining variations in said predetermined features as a function of variation of said predetermined threshold values; and

identifying the abnormal region based on the variations in said predetermined features determined as a function of variation of said predetermined threshold values.

9. The method as defined in claim 8, wherein said measuring step comprises:

measuring predetermined geometric parameters of said contiguous image pixels.

10. The method as defined in claim 9, wherein the predetermined geometric parameters measured in said measuring step include circularity and size.

11. A system for automated detection and indication of an abnormal anatomic region from a digital image of an object, comprising:

means for generating a single digital image of said object;

means for filtering said single digital image to remove anatomic background derived from normal anatomic structure thereby to enhance in the resulting filtered image an abnormal pattern corresponding to an abnormal anatomic region;

means for searching the filtered digital image to identify said abnormal pattern in the filtered digital image; and

means for indicating the location of the abnormal anatomic region based on the location of a region of the filtered digital image in which the abnormal pattern is identified.

12. The system as defined in claim 11, wherein said filtering means comprises:

first means for producing a signal-to-noise ratio (SNR)-suppressed image;

second means for producing a SNR-enhanced image; and

third means for producing a difference image based on the difference between said SNR-enhanced and SNR-suppressed images.

13. The system as defined in claim 12, wherein said searching means comprises:

means for thresholding image pixels of the difference image to identify all image pixels having a value greater than a predetermined threshold value; and

means for measuring predetermined features of contiguous image pixels identified by said thresholding means; and

means for identifying the abnormal anatomic region based on the features measured by said measuring means.

14. The system as defined in claim 13, wherein said measuring means comprises:

means for measuring predetermined geometric parameters of said contiguous image pixels identified by said thresholding means.

15. The system as defined in claim 14, wherein said measuring means includes means for measuring circularity and size of said contiguous image pixels identified by said thresholding means.

16. The system as defined in claim 12, wherein said searching means comprises:

means for thresholding image pixels of the difference image to identify all image pixels having a value greater than a predetermined threshold value;

means for repeating said thresholding at varied predetermined threshold values;

means for measuring, for each performance of said thresholding, predetermined features of contiguous image pixels identified in each repeated performance of said measuring;

means for determining variations in said predetermined features as a function of variation of said predetermined threshold values; and

means for identifying the abnormal anatomic region based on the variations in said predetermined features determined by said determining means.

17. The system as defined in claim 16, wherein said measuring means comprises:

means for measuring predetermined geometric parameters of said contiguous image pixels identified by said thresholding means.

18. The system as defined in claim 17, wherein said measuring means includes means for measuring circularity and size of said contiguous image pixels identified by said thresholding means.

19. The system according to claim 16, wherein said searching means comprises:

means for determining which of the pixels of the difference image exceed a predetermined amplitude threshold value;

means for identifying contiguous pixels determined by said determining step as discrete islands;

means for determining which of the identified islands include at least a minimum predetermined number of contiguous pixels; and

means for determining whether the islands which are determined to have at least said minimum number of pixels meet predetermined clusterization criteria.

20. An apparatus for automated detection and indication of an abnormal region in an object, comprising:

image generating means for generating a digital X-ray image signal of the object;

storing means for storing said digital image signal generated by said generating means;

first processing means for filtering said stored digital X-ray image signal and producing a signal-to-noise ratio (SNR)-suppressed image;

second processing means for filtering said stored digital X-ray image signal and producing a signal-to-noise ratio (SNR)-enhanced image;

third processing means for producing a difference image between said SNR-suppressed image and SNR-enhanced image;

means for searching said difference image, and extracting and determining abnormal regions in the difference image,

locating means for locating said determined regions with abnormal features, and producing a location signal corresponding to the abnormal region in said digital X-ray image signal; and

indicating means for displaying the indication of the abnormal region responsive to said location signal in connection with said original X-ray image.