Magnetic resonance imaging color composites

• US 5,410,250 A
• Filed: 09/28/1993
• Issued: 04/25/1995
• Est. Priority Date: 04/21/1992
• Status: Expired due to Term

• Current Assignee: University of South Florida (State University System of Florida)
• Original Assignee: University of South Florida (State University System of Florida)
• Inventors: Brown, Hugh K.
• Primary Examiner(s): ARANA, LOUIS M
• Application Number:
  US08/128,355
• Time in Patent Office: 574 Days
• Field of Search: 324/309, 324/307, 128/653.2, 382/16, 382/17, 382/18, 382/25, 358/81
• US Class Current: 324/309
• CPC Class Codes: G01R 33/56 Image enhancement or correction, e.g. subtraction or averaging techniques , e.g. improvement of signal-to-noise ratio and resolution
• CPC Class Codes: G01R 33/563 of moving material, e.g. flow contrast angiography

Abstract

The invention relates to an apparatus and method for producing a single color coded composite image from a plurality of multiparameter magnetic resonance image sets. The plurality of magnetic resonance image sets are spatially aligned and are acquired using different pulse sequences to contrast various parameters of anatomical, physiological and pathological features. The method includes acquiring the gray-tone images, and plotting a histogram of the average pixel signal intensities for selected regions of interest in each image. This provide quantitative data to support qualitative assessments of tissue contrast behavior in each of the images which acts as a basis for color coding. Based on the histogram, color coefficients of red, green and blue channels are assigned to each image so that the final combination of colors will produce a semi-natural appearing composite image. Monochrome images are created based on the gray-tone images and color coefficiency tables. The monochrome images are combined to produce the composite image.

Claims

1. A method of analyzing a single color composite image produced from a plurality of multiparameter magnetic resonance images, the method including the steps of:

identifying a region of interest in the composite image,

identifying the proportional color contributions of red, green and blue of the selected region of interest;

analyzing the color coefficient values originally assigned to each independent image for the production of the color composite image and the average signal intensities of the regions of interest provided by each image;

listing potential anatomical, physiological or pathological features associated with the analyzed region of interest based on the proportional influence from each color contribution and image which produced the composite.

2. A method as set forth in claim 1 further including identifying the average intensity values for each image of the composite image.

3. A method as set forth in claim 1 further including determining th eproportional color and intensity influences from each of the original images making up the composite image.

4. A method as set forth in claim 1 further including plotting average signal intensities of pixels within the region of interest for each orginal image.

5. A method as set forth in claim 1 further including producing coefficient values of the primary red, green and blue colors assigned to each image indicative of a different monochrome color for each image.

6. A method of analyzing a single color composite image produces from a plurality of multiparameter magnetic resoance images, the method including the steps of:

identifying a region of interest in the composite image;

identifying the proportional color contributions of predetrmined colors of the selected region of interest;

analyzing color coefficient values originally assigned to each independent image making up the composite image; and

listing potential anatomical, physiological or pathological features associated with the analyzed region of interest based on the proportional influence from each color contribution and image which produced the composite image.

7. A method as set forth in claim 6 further including identifying and analyzing the average signal intensities of the region of interest provided by each image of the composite image.

8. A method as set forth in claim 7 including identifying the proportional color contributions of red, green and blue of the selected region of interest.