Automated method and system for determination of positional orientation of digital radiographic images

• US 5,862,249 A
• Filed: 12/01/1995
• Issued: 01/19/1999
• Est. Priority Date: 12/01/1995
• Status: Expired due to Fees

• Current Assignee: CareStream Health Incorporated
• Original Assignee: Eastman Kodak Company
• Inventors: Jang, Ben Kwei, Gaborski, Roger Stephen
• Primary Examiner(s): Couso, Yon
• Assistant Examiner(s): CHANG, JON CARLTON
• Application Number:
  US08/567,019
• Time in Patent Office: 1,145 Days
• Field of Search: 382/289, 382/288, 382/132, 382/295, 382/131, 382/192, 382/195, 378/4, 378/901, 128/922
• US Class Current: 382/132
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 7/73 using feature-based methods
• CPC Class Codes: G06V 10/242 by image rotation, e.g. by 90 degrees

Abstract

An automated method and system for determining the positional orientation of radiographic images, wherein digital image data is acquired and subjected to multiple phases of digital imaging processing. The image is processed to segment the object of interest, i.e., a body region, from the foreground and background of the image. Next, the center is determined for the body region. The body region center is then positioned so that it coincides with the center of the film or medium. The image is subsequently decomposed into one or more horizontal and vertical strips. Feature extraction is performed on these strips to preliminarily determine the orientation of the image. Finally, a set of rules is applied to the image information described above to determine the positional orientation of the image.

Claims

1. An automated method for determining the positional orientation of radiographic images including a foreground, a background and an object of interest, comprising the steps of:

acquiring a digital image of the object of interest;

segmenting the image to separate the object of interest from the foreground and the background of the image;

determining a center of the digital image of the object of interest of the segmented digital image;

adjusting the position of the center of the digital image of the object of interest to coincide with the center of the segmented digital image;

decomposing the image into one or more strips;

extracting one or more features of the strips; and

determining the orientation of the image;

wherein the step of extracting one or more features of the strips further includes the steps of determining edge density, average density, intensity standard deviation and minimum average intensity of the image.

2. The method of claim 1, wherein the object of interest is an anatomical region.

3. The method of claim 1, wherein the step of decomposing the image into one or more strips includes selecting width of the strip size based upon information about the image.

4. The method of claim 1, wherein the step of determining the orientation of the image includes the use of one or more heuristic rules.

5. The method of claim 4, wherein the heuristic rule(s) used in the step of determining the orientation of the image compare features extracted from the image.

6. The method of claim 5, wherein the heuristic rules used in the step of determining the orientation of the image are based upon past orientation determinations.

7. A system for automated determination of the positional orientation of radiographic images including a foreground, a background and an object of interest, comprising:

means for acquiring image data from a radiographic image of the object of interest;

means for segmenting the image to separate the object of interest from the foreground and the background of the image;

means for determining a center of the digital image of the object of interest of the segmented digital image;

means for adjusting the position of the center of the digital image of the object of interest to coincide with the center of the segmented digital image;

means for decomposing the image into one or more strips;

means for extracting one or more features of the strips by determining edge density, average density, intensity standard deviation and minimum average intensity of the image; and

means for determining the orientation of the image.

8. The system of claim 7, wherein the image is a subsampled image.

9. The system of claim 7, wherein the image is a non-subsampled image.

10. An automated method for determining the positional orientation of radiographic images including a foreground, a background and an object of interest, comprising the steps of:

acquiring a digital image of the object of interest;

segmenting the image to separate the object of interest from the foreground and the background of the image;

determining a center of the digital image of the object of interest of the segmented digital image;

adjusting the position of the center of the digital image of the object of interest to coincide with the center of the segmented digital image;

decomposing the image into one or more strips;

extracting one or more features of the strips; and

determining the orientation of the image, including the use of one or more heuristic rules which compare features extracted from the image based upon past orientation determinations.