Method of processing optical coherence tomographic image and apparatus for performing the method

• US 10,170,078 B2
• Filed: 08/07/2014
• Issued: 01/01/2019
• Est. Priority Date: 08/07/2013
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Ryu, Ji-won, Lim, Jae-guyn, Jang, Woo-young, Jang, Jae-duck, Choi, Seo-Young
• Primary Examiner(s): Xiao, Ke
• Assistant Examiner(s): Imperial, Jed-Justin
• Application Number:
  US14/453,984
• Publication Number:
  US 20150045661A1
• Time in Patent Office: 1,608 Days
• Field of Search: None
• CPC Class Codes: A61B 5/0066 Optical coherence imaging
• CPC Class Codes: G09G 2340/14 Solving problems related to the presentation of information to be displayed
• CPC Class Codes: G09G 5/02 characterised by the way in which colour is displayed details of colour display specific for CRTs G09G1/28; specific for flat matrix panels other than liquid crystal displays G09G3/2003; specific for liquid crystal displays G09G3/3607

Abstract

Provided are a method and an apparatus for processing an optical coherence tomographic image. The method of processing an optical coherence tomographic image includes obtaining an optical coherence tomographic image by irradiating light to an object; generating a color space map based on the obtained optical coherence tomographic image; normalizing data of the obtained optical coherence tomographic image; realigning the normalized data of the optical coherence tomographic image; performing a tone mapping on the realigned data of the optical coherence tomographic image; and generating a color image by mapping the data of the optical coherence tomographic image on which the tone mapping is performed, by using the generated color space map.

Claims

1. A method of processing an optical coherence tomographic image, the method y comprising:

obtaining an optical coherence tomographic image by irradiating light to an object;

generating a color space map based on the obtained optical coherence tomographic image;

normalizing data of the obtained optical coherence tomographic image;

realigning the normalized data of the optical coherence tomographic image;

performing tone mapping on the realigned data of the optical coherence tomographic image; and

generating a color image by mapping the data of the optical coherence tomographic image on which the tone mapping is performed, by using the generated color space map,

wherein properties of the color space map comprise a hue having a linear characteristic, while a brightness and a saturation have a non-linear characteristic, and

wherein mapping values of hue corresponding to gray level intensity values are set to have a constant gradient.

2. The method of claim 1,

wherein the generating the color space map comprises generating a plurality of color space maps, and

wherein the generating the color image comprises generating a plurality of color images by mapping the data of the optical coherence tomographic image on which the tone mapping is performed, by using the plurality of color space maps, and generating one color image by performing a weighted compounding on the generated plurality of color images.

3. The method of claim 1, wherein the generating the color space map comprises setting a reference hue, and setting the mapping values of hue corresponding to the gray level intensity values based on the reference hue.

4. The method of claim 3, wherein a complementary color of background hue with respect to a region indicating the object in the optical coherence tomographic image is set as the reference hue.

5. The method of claim 3, wherein the mapping values of hue are set to have a linear characteristic within a predetermined range from the mapping value of the reference hue.

6. The method of claim 3, wherein the generating the color space map further comprises:

determining mapping values of brightness and saturation corresponding to two or more gray level intensity values to have a non-linear characteristic; and

performing an interpolation on the determined mapping values.

7. The method of claim 1, wherein the normalizing the data comprises adjusting data such that gray level intensity of pixels of the optical coherence tomographic image have a value of equal to or greater than 0 and equal to or less than 1 or a value of equal to or greater than 0 and equal to or less than 255 in a case of 8 bits.

8. The method of claim 1, wherein the realigning the data comprises shifting the normalized data of the obtained optical coherence tomographic image such that gray level intensity having the highest frequency in the optical coherence tomographic image has a central value of all gray level intensity.

9. The method of claim 1, wherein the generating the color space map comprises generating a map with respect to any one color space among a hue saturation value (HSV), a hue saturation intensity (HIS), a lightness saturation hue (LCH), and a hue saturation brightness (HSB).

10. The method of claim 1, wherein the performing the tone mapping comprises setting an upper limit and a lower limit of a region, and performing a non-linear process such as enlargement or reduction on image data within the region.

11. A non-transitory computer readable recording medium having embodied thereon a computer program for executing the method of claim 1.

12. An apparatus for processing an optical coherence tomographic image, the apparatus comprising:

an image receiver configured to receive an optical coherence tomographic image;

a color space map generator configured to generate a color space map based on the received optical coherence tomographic image;

a normalization performer configured to normalize data of the received optical coherence tomographic image;

a shifting performer configured to realign the normalized data of the optical coherence tomographic image;

a tone mapping performer configured to perform a tone mapping on the realigned data of the optical coherence tomographic image; and

a color space mapping performer configured to generate a color image by mapping the data of the optical coherence tomographic image on which the tone mapping is performed, by using the generated color space map,

wherein properties of the color space map comprise a hue having a linear characteristic, while a brightness and a saturation have a non-linear characteristic, and

wherein mapping values of the hue corresponding to gray level intensity values are set to have a constant gradient.

13. The apparatus of claim 12,

wherein the color space map generator generates a plurality of color space maps, and

wherein the color space mapping performer generates a plurality of color images by mapping the data of the optical coherence tomographic image on which the tone mapping is performed, by using the plurality of color space maps, and generates one color image by performing a weighted compounding on the generated plurality of color images.

14. The apparatus of claim 12, wherein the color space map generator sets a reference hue, and sets the mapping values of hue corresponding to the gray level intensity values based on the reference hue.

15. The apparatus of claim 14, wherein the color space map generator sets a complementary color of background hue with respect to a region indicating an object in the optical coherence tomographic image as the reference hue.

16. The apparatus of claim 14, wherein the color space map generator determines mapping values of brightness and saturation corresponding to two or more gray level intensity values to have a non-linear characteristic, and performs an interpolation on the determined mapping values.

17. The apparatus of claim 12, wherein the shifting performer shifts the normalized data of the obtained optical coherence tomographic image such that gray level intensity having the highest frequency in the optical coherence tomographic image has a central value of all gray level intensity.

18. The apparatus of claim 12, wherein the tone mapping performer sets an upper limit and a lower limit of a region, and performs a non-linear process such as enlargement or reduction on image data within the region.